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A global uptick in supply chain attacks, the evolution of RaaS, and high-profile breaches exposing sensitive data of millions underscore the need for a prevention-first approach to cybersecurity

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NEW YORK, NY, March 5, 2025 – <a href="https://www.deepinstinct.com/">Deep Instinct</a>, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of its <a href="https://www.deepinstinct.com/cyber-threat-reports">2025 Threat Report: The Changing Face of Global Threats</a>, which provides in-depth analysis of 2024’s most dangerous cyber threats and predictions for 2025 and beyond. The report highlights the rise of AI-driven attacks, the evolution of ransomware, and the growing geopolitical influence on cyber warfare.Research shows ransomware continues to dominate the threat landscape as AI tools enhance attack sophistication. Industry reports indicate a 30% increase in global cyber attacks compared to 2023, while Deep Instinct's analysis reveals that AI-generated phishing campaigns have grown in efficacy with advancements in reconnaissance and video and voice generation tools. The expansion of Ransomware-as-a-Service (RaaS) models has amplified the scale and complexity of these attacks, with the healthcare and financial sectors bearing the brunt. The report illustrates how ransomware groups prioritize sectors that manage critical services and sensitive data, such as the healthcare industry, leveraging operational urgency to pressure victims into paying.“This latest Threat Report reveals that cybercriminals are not slowing down, with AI-driven attacks, advanced ransomware tactics, and state-sponsored cyber operations pushing organizations to the brink,” said Yariv Fishman, CPO at Deep Instinct. “To keep up, businesses must move beyond status-quo, reactive defenses that have disappointed time and time again. The era of solely relying on detection and response is over—preemptive security, fueled by deep learning, will determine the winners in this cyber arms race.”Additional findings include the following:<h5>AI and Large Language Models (LLMs) Fuel a New Era of Cybercrime, Underscoring the Need for Zero-Day Data Security</h5>Today’s cybercriminals are using AI and ML to churn out polymorphic and metamorphic malware,&nbsp; adding to the deluge of zero-day threats organizations are facing. An alarming rise in these unknown threats leaves security teams struggling to identify and stop them.<h5>Geopolitical Conflicts Drive Cyber Warfare</h5>Cyber attacks surged in response to geopolitical tensions, particularly in regions affected by the Russia-Ukraine war, the Israel-Hamas conflict, and China-Taiwan tensions. Furthermore, nation-state actors and hacktivist groups continue to leverage cyber operations to disrupt infrastructure, spread misinformation, and conduct espionage—including websites in conflict zones, such as the Gaza Now news site.<h5>The U.S. is a Primary Ransomware Target</h5>According to the report, the U.S. is the top target for ransomware attacks. However, there has been a noticeable shift in ransomware targeting other nations, such as France, Italy, and Austria. Several ransomware families emerged or rose in prominence in 2024, including LockBit 3.0, RansomHub, and Akira. By early 2024, Akira alone had compromised over 250 organizations across North America, Europe, and Australia, collecting over $42 million in ransom payments.<h5>Vulnerabilities and Exploits are Rising</h5>Industry research identified 186 known exploited vulnerabilities in 2024. Deep Instinct's analysis shows a particular area of concern is the increasing reliance on IoT devices, introducing new attack vectors as 30% of business network endpoints are now IoT-based.As cybercriminals innovate, so must defenders. The 2025 Threat Report: The Changing Face of Global Threats highlights the urgent need for a layered prevention approach that combines <a href="https://www.deepinstinct.com/dsx-brain">deep learning models for preemptive threat prevention</a> with a zero-day data security framework to protect sensitive data against Dark AI.Read the full report <a href="https://www.deepinstinct.com/cyber-threat-reports">here</a>. To learn more about Deep Instinct’s zero-day data security solutions, visit <a href="http://www.deepinstinct.com">www.deepinstinct.com</a>, then register to attend the webinar, <a href="https://www.brighttalk.com/webcast/16681/637789">The New AI Threat Landscape: 2024 Year in Review &amp; What to Expect in 2025</a>, to learn about the top findings directly from the authors.<h5>About Deep Instinct</h5>Deep Instinct, the first and only zero-day data security company built on a deep learning cybersecurity framework, prevents unknown threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion – across cloud, NAS, applications, and endpoints.Fight AI with the best AI. DSX Brain, Deep Instinct’s deep learning framework, prevents zero-day threats that no one else can find, with &gt;99% accuracy and a &lt;0.1% false positive rate. DIANNA, the DSX Companion, leverages GenAI to provide unparalleled explainability into unknown threats in &lt;10 seconds.For more, visit&nbsp;<a href="http://www.deepinstinct.com/">www.deepinstinct.com</a>.Media Contact Maddie Meuse Inkhouse for Deep Instinct deepinstinct@inkhouse.com

Deep Instinct Threat Research Report Reveals Surge in Cyber Attacks Driven by the Acceleration of Dark AI, Unknown Threats, and Geopolitical Warfare

As AI-powered cyber attacks surge, Deep Instinct introduces the industry's first zero-day data security solution for Amazon FSx NetApp ONTAP, securing critical data across on-premises, hybrid, and cloud environments

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NEW YORK, NY, January 23, 2025&nbsp;–&nbsp;<a href="https://www.deepinstinct.com/">Deep Instinct</a>, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of&nbsp;<a href="https://www.deepinstinct.com/dsx/dsx-cloud-amazon-fsx-netapp">DSX for Cloud – Amazon FSx NetApp</a>, delivering real-time prevention and explainability of zero-day attacks for NetApp workloads, wherever they reside.With more than&nbsp;<a href="https://www.gartner.com/en/newsroom/press-releases/2023-11-29-gartner-says-cloud-will-become-a-business-necessity-by-2028#:~:text=Gartner%20predicts%20that%20more%20than,necessity%20(see%20Figure%201).">50% of enterprises expected to leverage cloud platforms by 2028</a>&nbsp;to accelerate digital transformation, organizations need assurance that their data is secure, whether on-premises, throughout the migration process, or into the cloud.&nbsp;DSX for Cloud - Amazon FSx NetApp&nbsp;protects organizations at every step of the way.Powered by&nbsp;<a href="https://www.deepinstinct.com/dsx-brain">DSX Brain</a>, Deep Instinct’s deep learning (DL) framework,&nbsp;DSX for Cloud - Amazon FSx NetApp&nbsp;scans files in &lt;20ms, at rest or in motion, instantly quarantining or deleting malicious files with &gt;99% efficacy against known, unknown, and zero-day threats. The offering is certified and natively integrated with NetApp ONTAP and Amazon FSx for NetApp ONTAP, leveraging its capabilities to protect data across a broad range of file types from cyber attacks while providing critical storage protection.“Storage repositories are home to your most valuable data, making them prime targets for bad actors,” said Yariv Fishman, Chief Product Officer at Deep Instinct. “Cybercriminals are increasingly leveraging AI to create and deploy sophisticated malware that can exfiltrate sensitive information. As organizations undergo digital transformations, they must prevent breaches at every step of their cloud journey.”DSX for Cloud – Amazon FSx NetApp, together with&nbsp;<a href="https://www.deepinstinct.com/dsx/dsx-network-attached-storage">DSX for Network Attached Storage (NAS)</a>, provides comprehensive, end-to-end data protection for organizations using FSx for ONTAP and on-premises NetApp ONTAP. It is ideal for hybrid-cloud storage environments and cloud migration use cases, ensuring seamless security across cloud and on-premises infrastructures.Additional benefits include the following:<ul><li>Built for Storage: DSX for NAS&nbsp;and&nbsp;DSX for Cloud&nbsp;are purpose-built to prevent threats in storage across NAS and Cloud environments. The release of&nbsp;DSX for Cloud – Amazon FSx NetApp&nbsp;extends that coverage to the hybrid-cloud, protecting data wherever it’s stored.</li><li>Always-On Security: DSX Brain requires only one-to-two updates a year, providing continuous security uptime and lower service management costs, without any gaps to be exploited by unknown threats.</li><li>Improved Efficiency: Security teams benefit from &gt;99% efficacy, a &lt;0.1% false positive rate, and &lt;20 millisecond file scan time.</li><li>Ease of Management: Managed via a single cloud-hosted console, security administrators get a dashboard to visualize security events, monitor and manage assets, and set security policies.</li><li>Cloud Scalability: Unlimited scalability to scan expansive repositories rapidly, providing unparalleled protection for your data as it grows.</li></ul>This news comes on the heels of the AWS Marketplace availability of&nbsp;<a href="https://www.deepinstinct.com/news/deep-instinct-extends-zero-day-data-security-capabilities-to-amazon-s3">DSX for Cloud - Amazon S3</a>, Deep Instinct’s zero-day data security offering for data stored within Amazon Simple Storage Service (Amazon S3) buckets.<a href="http://deepinstinct.com/demo">Request your free scan</a>&nbsp;to see how Deep Instinct secures data at-rest and in-motion across on-premises, hybrid, and cloud environments. For a deeper dive, join us for a webinar, “<a href="https://www.brighttalk.com/webcast/16681/634632">Protecting Your Data Against Zero-Day Attacks in Amazon FSx for NetApp ONTAP</a>,” on February 25th and follow along on&nbsp;<a href="https://www.linkedin.com/company/deep-instinct/">LinkedIn</a>&nbsp;and&nbsp;<a href="https://x.com/DeepInstinctSec?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor">X</a>. <h5>About Deep Instinct</h5>Deep Instinct, the first and only zero-day data security company built on a deep learning cybersecurity framework, prevents unknown threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion – across cloud, NAS, applications, and endpoints.Fight AI with the best AI. DSX Brain, Deep Instinct’s deep learning framework, prevents zero-day threats that no one else can find, with &gt;99% accuracy and a &lt;0.1% false positive rate. DIANNA, the DSX Companion, leverages GenAI to provide unparalleled explainability into unknown threats in &lt;10 seconds.For more, visit&nbsp;<a href="http://www.deepinstinct.com/">www.deepinstinct.com</a>.Media Contact Maddie Meuse Inkhouse for Deep Instinct deepinstinct@inkhouse.com

Deep Instinct Expands DSX for Cloud Protection to Amazon FSx NetApp ONTAP

Now available on AWS Marketplace, DSX for Cloud – Amazon S3 is the only zero-day data security solution to deliver unknown malware and ransomware prevention for cloud data stored in S3 buckets 

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NEW YORK, NY, November 20, 2024 – <a href="https://www.deepinstinct.com/">Deep Instinct</a>, the zero-day data security company built on the first and only AI-based deep learning framework for cybersecurity, today announced the launch of <a href="https://www.deepinstinct.com/dsx/dsx-cloud-amazon-s3">Deep Instinct DSX for Cloud – Amazon S3</a>. As organizations increasingly rely on the cloud to power their digital transformation, businesses are generating and storing record amounts of data in the cloud. Cybercriminals know this and are leveraging generative AI to create sophisticated malware that evades existing security tools and takes advantage of the “assume breach” mindset.DSX for Cloud enables businesses to protect sensitive data across cloud storage environments by preventing and explaining unknown threats – something no other vendor on the market today can achieve. Now available in the <a href="https://aws.amazon.com/marketplace/seller-profile?id=seller-2vxjapmpeczok">AWS Marketplace</a>, DSX for Cloud – Amazon S3 extends DSX for Cloud’s threat prevention capabilities to data stored within Amazon Simple Storage Service (Amazon S3) buckets, allowing organizations to securely run business applications on Amazon S3 workloads without the constant threat of malware and ransomware impacting their data.“Businesses should not have to sacrifice data security for business continuity. We built DSX for Cloud – Amazon S3 to rapidly detect malware before it impacts production environments,” said Yariv Fishman, Chief Product Officer at Deep Instinct. “Now, cloud security and business application teams can uphold the highest security standards in their enterprise S3 environments to confidently collaborate, innovate, and grow their business, without worrying about the next threat.”Powered by deep learning, the most advanced form of AI, DSX for Cloud – Amazon S3 is the only zero-day data security solution that enables real-time prevention of unknown threats in S3 buckets, including threats that others cannot find. DSX for Cloud – Amazon S3 scans files in &lt;20 milliseconds, detecting malware payloads with &gt;99% accuracy and a false positive rate of &lt;0.1%, allowing organizations to reduce operational costs by up to 50%. Organizations can gain further insight into threats when DSX for Cloud - Amazon S3 is paired with <a href="https://www.deepinstinct.com/dsx-companion">DIANNA, the DSX Companion</a>, for generative AI-powered threat explainability.Additional features and benefits of DSX for Cloud – Amazon S3 include the following:<ul><li>Real-Time Zero-Day Attack Prevention: Unlike traditional ML-based security tools, DSX leverages the first and only deep learning framework designed from the ground up for zero-day threat prevention.</li><li>Real-Time Zero-Day Attack Explainability: By harnessing the power of DIANNA, the DSX Companion, organizations can better understand the intent behind malicious activity and how it impacts their S3 environments – building a more informed, efficient, and effective cybersecurity environment.</li><li>Natively Integrated and Certified: Certified by AWS, DSX for Cloud – Amazon S3 seamlessly integrates with and protects AWS S3 buckets, automatically detecting malware payloads and preventing them from executing.</li><li>Enterprise Scalability: Able to scan extensive repositories rapidly, providing unparalleled protection for data at rest.</li><li>Low Total Cost of Ownership: With its high prevention efficacy, low false positive rate, and minimal infrastructure requirements, DSX for Cloud – Amazon S3 delivers the lowest Total Cost of Ownership (TCO) on the market.</li></ul>To start protecting Amazon S3 environments, visit the <a href="https://aws.amazon.com/marketplace/seller-profile?id=seller-2vxjapmpeczok">AWS Marketplace</a> or explore <a href="https://www.deepinstinct.com/dsx/dsx-cloud-amazon-s3">our webpage</a>. For a deeper dive into DSX for Cloud - Amazon S3, visit us at booth #1496 during <a href="https://info.deepinstinct.com/aws-reinvent-2024-meeting">AWS re:Invent</a>, happening in Las Vegas from Dec. 2-6, or join our upcoming <a href="https://www.brighttalk.com/webcast/16681/630657?bt_tok={{contact.bt_fpt}}&utm_source=DeepInstinct&utm_medium=brighttalk&utm_campaign=630657" target="_blank">webinar</a>.<h5>About Deep Instinct</h5>Deep Instinct, the first and only zero-day data security company built on a deep learning cybersecurity framework, prevents unknown threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct Data Security X (DSX) secures data at-rest or in-motion – across cloud, NAS, applications, and endpoints.Fight AI with the best AI. DSX Brain, Deep Instinct’s deep learning framework, prevents zero-day threats that no one else can find, with &gt;99% accuracy and a &lt;0.1% false positive rate. DIANNA, the DSX Companion, leverages GenAI to provide unparalleled explainability into unknown threats in &lt;10 seconds.For more, visit <a href="http://www.deepinstinct.com" target="_self">www.deepinstinct.com</a>.Media Contact Maddie Meuse Inkhouse for Deep Instinct deepinstinct@inkhouse.com

Deep Instinct Extends Zero-Day Data Security Capabilities to Amazon S3

Deep learning cybersecurity leader spotlights new generative AI-powered cybersecurity assistant, DIANNA, while hosting two must-watch speaking sessions

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LAS VEGAS and NEW YORK, NY, August 5, 2024 – <a href="https://www.deepinstinct.com/">Deep Instinct</a>, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, will showcase its zero-day data security solution in Las Vegas at <a href="https://www.blackhat.com/us-24/" target="_blank">Black Hat USA 2024</a> (Mandalay Bay Expo Hall) and <a href="https://defcon.outel.org/dcwp/dc32/" target="_blank">DEF CON 32</a> (Las Vegas Convention Center, South Hall) from August 3 – 11.&nbsp;Enterprise zero-day vulnerabilities are on the rise, with<a href="https://cloud.google.com/blog/topics/threat-intelligence/2023-zero-day-trends" target="_blank"> a 64% increase in zero-day attacks in 2023 compared to 2022</a>. These never-before-seen threats continue to disrupt organizations, costing millions in data breach remediation while also impacting brand reputation and <a href="https://www.deepinstinct.com/voice-of-secops-reports">security team burnout</a>. To address this, Deep Instinct recently released Deep Instinct’s Artificial Neural Network Assistant (<a href="https://www.deepinstinct.com/news/deep-instinct-introduces-dianna">DIANNA</a>), the first generative AI-powered cybersecurity assistant to provide expert-level malware analysis and explainability for zero-day attacks and unknown threats. Event attendees can meet DIANNA and see the technology in action at Deep Instinct booth #4842 during Black Hat.“The security market has become oversaturated with legacy point solutions and false AI promises,” said Carl Froggett, CIO of Deep Instinct. “Deep Instinct is different, using deep learning – the most powerful form of AI – to prevent the next zero-day attack from ever entering your environment. We’ve now taken our deep learning capabilities to the next level with DIANNA, alleviating overworked SecOps teams by offering unrivaled explainability into these unknown, sophisticated threats. It’s a major step forward for the industry and a real-world example of AI’s impact in solving problems.”Additionally, Deep Instinct will host two speaking sessions at the events, including the following:<a href="https://www.blackhat.com/us-24/sponsored-sessions/schedule/index.html#the-future-of-cybersecurity-embracing-prevention-first-strategies-in-the-age-of-edge-ai-42167">The Future of Cybersecurity: Embracing Prevention-First Strategies in the Age of Edge AI</a>Wednesday, August 7 at 2:40 p.m. PT at the Mandalay Bay L - Black HatDeep Instinct’s CIO and CISO, Carl Froggett, and VP of Global Sales Engineering, Brian Black, will provide Black Hat attendees with an understanding of the new era of localized Large Language Models (LLMs) amid the advent of Neural Processing Units (NPUs) and Neural Engines in devices from Qualcomm and Apple. They will explore the implications of Edge AI and localized LLMs while highlighting the urgent need for innovative prevention-focused approaches to safeguard against these evolving threats.<a href="https://defcon.org/html/defcon-32/dc-32-speakers.html" target="_blank">SHIM Me What You Got - Manipulating Shim and Office for Code Injection</a>Saturday, August 10 at 11:00 a.m. PT in LVCC - L1 - HW1-11-04 (Track 4) - DEF CONAt DEF CON, Deep Instinct researchers Ron Ben-Yizhak and David Shandalov will introduce a novel and stealthy technique to apply malicious shims on a process that does not require registry modification or SDB files and leaves no traces on the disk. The reverse engineering of the shim infrastructure will be shown while focusing on an undocumented API and the kernel driver of the infrastructure.For more information about Deep Instinct’s zero-day data security capabilities, please speak with company experts at Black Hat booth #4842 or at DEF CON, or visit <a href="http://www.deepinstinct.com">www.deepinstinct.com</a>.You can also follow Deep Instinct and its Black Hat and DEF CON conversations on <a href="https://x.com/DeepInstinctSec?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor">X</a> and <a href="https://www.linkedin.com/company/deep-instinct">LinkedIn</a>, or book an on-site meeting with a Deep Instinct expert <a href="https://www.deepinstinct.com/contact-us">here</a>.<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit <a href="http://www.deepinstinct.com" target="_self">www.deepinstinct.com</a>.Media Contact Maddie Meuse Inkhouse for Deep Instinct deepinstinct@inkhouse.com

Deep Instinct to Demonstrate Zero-Day Data Security at Black Hat USA and DEF CON 2024

The 2024 Voice of SecOps report finds 97% of security professionals are concerned that their organization will suffer an AI-generated security incident, with 66% claiming AI is the direct cause of burnout.

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NEW YORK, NY, June 3, 2024 – <a href="https://www.deepinstinct.com/">Deep Instinct</a>, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today released the fifth edition of its <a href="https://www.deepinstinct.com/voice-of-secops-reports">Voice of SecOps Report</a><a href="https://www.deepinstinct.com/voice-of-secops-reports">,</a> which examines AI’s increasingly large impact on cybersecurity, the continued over-reliance of reactive cybersecurity tools, related defender stress and burnout, and the promise of preventative strategies.The study found that three in four security professionals (75%) had to change their cybersecurity strategy in the last year due to the rise in AI-powered cyber threats, with 73% expressing a greater focus on prevention capabilities. Additionally, 97% of respondents are concerned their organization will suffer a security incident due to adversarial AI.“The biggest challenge for SecOps teams is keeping pace with the rapidly evolving threat landscape being driven by AI. These never-before-seen threats are disrupting organizations, causing breaches that are accompanied by costly remediation. SecOps must stay ahead of these unknown attacks that often penetrate existing defenses, despite investment in technology and talented cybersecurity professionals,” said Lane Bess, CEO of Deep Instinct. “Threat hunting teams need to be equipped with better solutions that leverage more sophisticated AI, specifically deep learning, to not only predict but prevent unknown threats and offer explainability to facilitate response.”The report, conducted by Sapio Research, surveyed 500 senior cybersecurity experts from companies with 1,000+ employees in the US operating in financial services, technology, manufacturing, retail, healthcare, public sector, or critical infrastructure. Key findings included the following:Deepfakes continue to plague organizations, with C-suite impersonations rising.Deepfakes, or synthetic audio or video media files that have been digitally manipulated with AI, no longer just impact public figures and celebrities. Corporate leadership teams are now prime targets for manipulation. Our research found that 61% of organizations experienced a rise in deepfake incidents over the past year, with 75% of these attacks impersonating an organization’s CEO or another member of the C-suite. An over-reliance on Endpoint Detection and Response leaves organizations increasingly vulnerable.Relying on legacy, reactive cybersecurity tools like <a href="https://www.deepinstinct.com/endpoint-detection-response">Endpoint Detection and Response (EDR)</a> continues to set organizations up for failure, as EDR cannot combat next-generation, AI-powered cyber threats. It’s like fighting a five-alarm fire with a garden hose. Yet, 41% of organizations still rely on EDR solutions to protect them from adversarial AI – but less than a third (31%) plan to increase their EDR investments to prepare for unknown attacks. EDR should be a last resort. A prevention-first approach to cybersecurity blocks an attack from ever reaching the endpoint, eliminating the need to respond to threats.Cybersecurity prevention is the future, but pressure is being applied now.The only way to properly combat rising AI-powered attacks is to adopt a prevention-first approach to cybersecurity. Fortunately, the industry is starting to shift its mindset from “assume breach” to prevention. Our study found that 42% of organizations currently use preventative technologies, like <a href="https://www.deepinstinct.com/platform" target="_self">predictive prevention platforms</a>, to help protect against adversarial AI. However, more than half (53%) of security professionals feel pressure from their board to adopt tools that allow them to prevent the next cyber attack, rather than rely on antiquated defense mechanisms that have proven ineffective – as evidenced in the recent security incident impacting Microsoft, where bad actors dwelled in the network for months. Prevention is the future, and it’s finally being prioritized.AI is causing greater SecOps burnout and stress.The rise of adversarial AI is also taking a toll on cybersecurity professionals, with 66% admitting their stress levels are worse than last year and two in three (66%) saying AI is the direct cause of burnout and stress.To help alleviate this burnout SecOps professionals believe that AI can be used for good. In fact, over a third (35%) want to implement AI tools to help alleviate repetitive and time-consuming tasks. Additionally, 35% of respondents say having proactive cybersecurity measures in place, like predictive prevention, would help decrease their stress levels.To get the full report, and download past Voice of SecOps reports, please visit <a href="https://www.deepinstinct.com/voice-of-secops-reports">https://www.deepinstinct.com/voice-of-secops-reports</a>. To learn more about Deep Instinct’s predictive prevention capabilities, visit <a href="http://www.deepinstinct.com">www.deepinstinct.com</a>.<h5>Survey Methodology</h5>Sapio Research surveyed 500 senior cybersecurity experts from companies with 1,000+ employees in the USA. The interviews were conducted online in April 2024 using an email invitation and an online survey.Respondents worked at organizations operating in financial services, technology, manufacturing, retail and e-commerce, healthcare, public sector, or critical infrastructure (such as telecoms, energy, utilities, and transportation).C-suite is defined as those who hold chief, global, head of department, or director roles, while reports are those who hold a manager, administrator, analyst, team lead, or officer role.<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit <a href="https://www.deepinstinct.com/">www.deepinstinct.com</a>.<h5>Media Contact</h5>Maddie Meuse Inkhouse for Deep Instinct <a href="mailto:deepinstinct@inkhouse.com">deepinstinct@inkhouse.com</a>

Deep Instinct Study Finds Cybersecurity Strategies are Changing to Combat AI-Powered Threats as Prevention Takes Precedence

Cyber companion DIANNA builds upon Deep Instinct’s prevention-first capabilities, redefining the boundaries of AI and cybersecurity.


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NEW YORK, NY – May 1, 2024 – Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of <a href="/dianna-ai-cyber-companion" target="_self">Deep Instinct’s Artificial Neural Network Assistant (DIANNA)</a>, the industry’s first AI-based cybersecurity companion that provides explainability into unknown threats. DIANNA enhances Deep Instinct's prevention-first approach to cybersecurity through its expert-grade static malware analysis, something no other solution on the market can replicate.Powered by a large language model (LLM), DIANNA serves as a virtual AI team of malware analysts and incident response specialists. It provides deep analysis into all attacks, including never-before-seen threats, revealing the techniques employed and behaviors of files to provide a comprehensive narrative that facilitates understanding and mitigation of threats before breach.While traditional AI tools leverage LLMs to provide human-like summarization data from existing sources like logs and reputation engines, none provide insights into how unknown attacks are malicious in nature. While valuable, their approach only offers retrospective analysis with limited context. Deep Instinct harnesses generative AI to equip DIANNA with the collective knowledge of countless cybersecurity experts, effectively embedded within the LLM, to provide in-depth malware analysis of unknown files and identify malicious intent with unparalleled accuracy.“With the rise in AI-generated attacks, organizations can no longer be complacent or reactive in how they approach cybersecurity. It’s time to fight AI with better AI, and raise greater awareness about the unknown threats impacting businesses,” said Lane Bess, CEO of Deep Instinct. “DIANNA provides vital threat explainability, enhances our prevention-first approach, and marks a strategic shift towards a more informed, efficient, and effective cybersecurity environment.”DIANNA seamlessly integrates with Deep Instinct's <a href="/platform" target="_self">DL-powered prevention-first capabilities</a> to provide in-depth insights into both known and unknown attack behavior through static analysis. Unlike traditional machine learning-based tools, DIANNA doesn't just provide the classification results; it provides in-depth analysis and reporting in a clear, digestible way. This transparency enables security teams to make informed decisions and prioritize threats effectively, optimizing security operation center (SOC) performance. It also reduces mean-time-to-repair (MTTR) while significantly improving job satisfaction by reducing the amount of time spent chasing false positives.By harnessing the power of generative AI, DIANNA empowers security teams with the following capabilities:<ul><li>Unparalleled Expertise for Unknown Threats: DIANNA’s static analysis goes beyond traditional methods, offering an unprecedented level of insight into unknown scripts, documents, and raw binaries, providing valuable insights for organizations facing zero-day attacks.</li><li>Translating Code Intent and Activity to Natural Language: DIANNA translates binary code and scripts from various languages into a natural language report. DIANNA doesn't just analyze the code; it understands the intent and the potential actions and explains what the code is designed to do, what makes it malicious, and how it might impact systems.</li><li>Enhanced Visibility: DIANNA offers insights into the decision-making process of Deep Instinct's prevention models, allowing organizations to fine-tune their security posture for maximum effectiveness.</li><li>Expert-Level Analysis of Threat Delivery File Types: DIANNA analyzes various file formats including binaries, scripts, documents, shortcut files, and other threat delivery file types.</li><li>Streamlined Workflows: DIANNA automates some of the most tedious tasks of SOC analysis, freeing up security teams to focus on more strategic initiatives.</li></ul>“DIANNA is the ultimate cyber companion for security teams,” said Yariv Fishman, Chief Product Officer of Deep Instinct. “There are two factors that set DIANNA apart from other AI-powered chatbots. First, its unprecedented malware analysis compresses hours of work, requiring deep cyber threat expertise, into seconds. Second, DIANNA’s ability to analyze unknown threats, including scripts, documents, and raw binary files, is unmatched. Both of these capabilities build upon our prevention-first approach and allow security teams to focus on what truly matters.”To learn more, please visit the <a href="/dianna-ai-cyber-companion" target="_self">DIANNA webpage</a> and register for our <a href="https://www.brighttalk.com/webcast/16681/614052?bt_tok={{contact.bt_fpt}}&utm_source=DeepInstinct&utm_medium=brighttalk&utm_campaign=614052" target="_blank">DIANNA webinar</a> on Thursday, May 30 at 11 AM ET. For more information on Deep Instinct’s predictive prevention capabilities, visit <a href="http://www.deepinstinct.com" target="_self">www.deepinstinct.com</a>.<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit <a href="http://www.deepinstinct.com" target="_self">www.deepinstinct.com</a>.Media Contact Maddie Meuse Inkhouse for Deep Instinct deepinstinct@inkhouse.com

Deep Instinct Introduces DIANNA, the First Generative AI-Powered Cybersecurity Assistant to Provide Expert-Level Malware Analysis for Unknown Threats

Deep Instinct Prevention for Applications (DPA) v3.0 expands protection across more file types and larger files while supporting disconnected and air-gapped environments 

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NEW YORK, NY, January 25, 2024 – <a href="https://www.deepinstinct.com/" target="_self">Deep Instinct</a>, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of <a href="https://www.deepinstinct.com/prevention-for-applications" target="_self">Deep Instinct Prevention for Applications</a> (DPA) v3.0, which includes enhanced file upload protection and application storage security capabilities, even in disconnected or air-gapped environments. DPA v3.0 is an agentless, on-demand, anti-malware solution that is device- and system-agnostic, seamlessly connecting to an organization’s existing infrastructure to quickly scan files and provide a malicious-vs-benign verdict before the file is allowed into application or storage repositories.File transfers occur via web application uploads, user internet downloads, and third-party data sharing. Oftentimes, uploaded files aren’t being scanned or are scanned with inadequate tools like Next-Generation Antivirus (NGAV), Content Disarm and Reconstruction (CDR), or Sandbox. These solutions can’t scale to meet the volume and velocity of cyber threats brought on by adversarial AI. Additionally, these technologies have not evolved to stop unknown malware, and are largely reliant on signature-based and machine-learning (ML) models that require constant human intervention. <a href="https://info.deepinstinct.com/file-upload-security?_ga=2.238621504.1975433348.1705780193-1593340175.1705416631" target="_self">Read the whitepaper</a> to learn the shortcomings of these tools.Powered by DL, DPA v3.0 is the only solution on the market that can meet these challenges and truly mitigate risks posed by file transfer. This is due to DL’s unique ability to leverage highly complex neural networks. Unlike other solutions that require near-continuous cloud calls for threat intelligence feeds and updates, DPA v3.0 only requires one to two updates per year, limiting the potential for a threat actor to capitalize on an external connection.“With the advancements in generative AI, fueled by LLMs, adversarial AI is the biggest cybersecurity risk to organizations in 2024,” said Yariv Fishman, Chief Product Officer, Deep Instinct. “It’s imperative to fight AI with better AI, and this is where deep learning proves its superiority versus all other technologies. We’re the only solution on the market today that uses deep learning to keep data secure within both disconnected and air-gapped environments, with minimal human intervention. Businesses can freely share information and innovate with confidence, without worrying about the associated risk.”Additional features and benefits include the following:<ul><li>Prevents unknown malware with the highest efficacy and enhanced security – With DPA v3.0, security teams get &gt;99% efficacy in preventing unknown threats to stop ransomware, zero-day, file, and script-based attacks pre-execution.</li><li>Enhances user experiences with near-zero latency – With a &lt;20 milliseconds file scan time, DPA v3.0 provides a malicious vs benign verdict in the blink of an eye and eliminates the need for cloud checks or threat intelligence feeds to provide a verdict.</li><li>Meets enterprise scale with low TCO (Total Cost of Ownership) – No matter the file size or volume, DPA v3.0 scans tens of millions of files per day while providing full privacy with only the file hash ever leaving the environment.</li><li>Reduces the burden on the SOC (Security Operations) teams – With a &lt;0.1% false positive rate, SOC teams can focus on real security threats vs fidelity alerts and regular maintenance requirements.</li><li>Expands protection across more file types and sizes – DPA v3.0 supports additional file types with enhanced classification flow and better coverage of PDF, ELF, APK, MSI, DMG, and ISO. DPA v3.0 also adds support for 1TB files, 50GB archives, new deep learning models for HTML and JavaScript, and increased archive nesting levels.</li></ul>To learn more about file upload protection, please download the <a href="https://www.deepinstinct.com/pdf/deep-instinct-prevention-for-applications-datasheet" target="_self">DPA datasheet</a> and register for our <a href="https://www.brighttalk.com/webcast/16681/606042" target="_blank">webinar</a> on Thursday, February 8th at 11 AM ET / 8 AM PT.For more information on Deep Instinct’s predictive prevention capabilities, visit <a href="www.deepinstinct.com" target="_self">www.deepinstinct.com</a>.<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit <a href="https://www.deepinstinct.com/" target="_self">www.deepinstinct.com</a>.<h5>Media Contact</h5>Maddie Meuse Inkhouse for Deep Instinct <a href="mailto:deepinstinct@inkhouse.com " target="_self">deepinstinct@inkhouse.com</a>

Deep Instinct Enhances the Only Deep Learning-Based File Protection Solution with Launch of DPA v3.0

Deep Instinct Prevention for Storage fills the gap left by legacy tools, equipping teams with >99% efficacy in preventing unknown threats  from reaching data, wherever it is stored

NEW YORK, NY, October 23, 2023 – <a href="https://www.deepinstinct.com/" target="_self">Deep Instinct</a>, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today announced the launch of <a href="https://www.deepinstinct.com/prevention-for-storage" target="_self">Deep Instinct Prevention for Storage (DPS)</a>. The new offering applies a prevention-first approach to storage protection, wherever data is stored – Network Attached Storage (NAS), hybrid, or public cloud environments – and seamlessly integrates into existing environments to deliver unparalleled efficacy and accuracy along with enterprise-grade scalability.Data is the lifeblood of every organization. As businesses continue to digitally transform, applications and services, employees, and customers are generating more data than ever before. The consolidation of information from various endpoints into data repositories has created a one-stop-shop for attackers. In fact, <a href="https://www.deepinstinct.com/voice-of-secops-reports" target="_self">nearly half</a> of senior cybersecurity experts state that ransomware is the greatest threat to their organization’s <a href="https://www.deepinstinct.com/data-security" target="_self">data security</a>. It only takes one infected file to put an enterprise at risk.“In today’s evolving threat landscape, threat actors are already leveraging AI to create malware that continuously changes in order to evade detection from traditional cybersecurity tools,” said Yariv Fishman, Chief Product Officer at Deep Instinct. “The only way to future-proof your organization, and its data, is to prioritize protection and security of unstructured storage systems – blocking attacks from ever landing in your environment. With the launch of DPS, our customers can now prevent attacks on data repositories and safeguard the integrity and security of their stored data.”As part of the Deep Instinct Prevention Platform, DPS fills gaps in data protection by applying a unique DL framework dedicated to cybersecurity. Whenever a file is added or changed in a storage environment, it is scanned immediately. Malicious files are either quarantined or deleted to prevent execution. Legacy solutions are insufficient in protecting data as they provide low detection rates for unknown malware, increase total cost of ownership (TCO), trigger an avalanche of high false positives, and introduce complexity into the scanning process.DPS is differentiated from the legacy tools on the market today in the following ways:<ul><li>Seamless Integration – To ensure smooth deployment and interoperability the solution natively integrates with leading platforms, including Dell EMC (CAVA) and NetApp (VScan).</li><li>Improved Efficiency and Lower TCO – <a href="https://www.deepinstinct.com/voice-of-secops-reports" target="_self">More than half</a> of security professionals say their stress levels have increased with <a href="https://www.deepinstinct.com/voice-of-secops-reports" target="_self">false positives accounting for over two working days of lost productivity per week</a>. With DPS, security teams are equipped with &gt;99% efficacy in preventing unknown threats, a &lt;0.1% false positive rate, and &lt;20 milliseconds file scan time.</li><li>Ease of Management – DPS is managed via a single console alongside <a href="https://www.deepinstinct.com/endpoint-security" target="_self">Deep Instinct for Endpoints (DPE)</a> and <a href="https://www.deepinstinct.com/prevention-for-applications" target="_self">Deep Instinct Prevention for Applications (DPA)</a>. The product supports easy-to-manage policies enabling security teams to control and manage remediation actions. These include quarantine or deletion of malicious files, and the ability to restore from quarantine if needed.</li><li>Compliance Ready – DPS proactively enables organizations to meet compliance requirements, including the recent <a href="https://www.sec.gov/files/rules/final/2023/33-11216.pdf" target="_self">SEC guidelines</a> that require organizations to provide annual cybersecurity risk management, strategy, and disclosures of any cybersecurity incidents. All file scans are logged for easy tracking and reporting. For each malicious file, detailed events are sent to the management console, allowing further investigation of prevented attacks.</li></ul>DPS for cloud storage, specifically AWS S3, will provide organizations with a holistic approach for storage security across public clouds. This is a critical need for organizations as the amount of data being stored in public and hybrid cloud environments continues to grow exponentially. While cloud vendors protect the storage itself, they do not ensure the integrity or safety of files stored. Deep Instinct safeguards data wherever it is stored with unparalleled efficacy, accuracy, and enterprise-grade scalability.Visit the <a href="https://www.deepinstinct.com/prevention-for-storage" target="_self">DPS webpage</a> to learn more. For more information on Deep Instinct’s predictive prevention capabilities, visit <a href="https://www.deepinstinct.com/" target="_self">www.deepinstinct.com</a>.###<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit <a href="https://www.deepinstinct.com/" target="_self">www.deepinstinct.com</a>.<h5>Media Contact</h5>Maddie Meuse Inkhouse for Deep Instinct <a href="mailto:deepinstinct@inkhouse.com " target="_self">deepinstinct@inkhouse.com</a>

Deep Instinct Launches Prevention-First Approach to Storage Protection

Ransomware-as-a-Service models, new underground markets, and the proliferation of LLMs combined to create massive opportunities for cybercriminals this year

NEW YORK, NY – October 11, 2023 – <a href="https://www.deepinstinct.com" target="_self">Deep Instinct</a>, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, today released its <a href="https://www.deepinstinct.com/cyber-threat-reports" target="_self">2023 Bi-Annual Cyber Threat Report</a>, which details the most pressing cyber threats of the year.“This year feels different, like the start of a new era, as artificial intelligence quickly infiltrates the workforce and vulnerabilities like MOVEit continue to have a long-lasting impact on organizations,” said Mark Vaitzman, Threat Lab Team Leader at Deep Instinct. “This report showcases how cybercriminals are adapting to these shifts and becoming more sophisticated in their approach. Prevention against these cyber attacks is possible, but it requires a change from the reactive, ‘assume breach’ mentality that has plagued the industry for far too long.”Top findings from Deep Instinct’s 2023 Bi-Annual Cyber Threat Report include the following:<h5>Ransomware-as-a-Service (RaaS) attributed to a spike in H1 2023 ransomware victims.</h5>The newest edition of the report found that more victims were affected by ransomware in the first half of 2023 than in the entirety of 2022. This is due to large-scale ransomware campaigns affecting a significant number of victims at once, such as the <a href="https://www.deepinstinct.com/blog/the-zero-day-attack-on-the-moveit-file-transfer-software" target="_self">MOVEit vulnerability</a> in early 2023. Additionally, threat actors continue to leverage RaaS to execute their attacks. From the launch of Lockbit’s affiliate program to new languages featured within BlackCat’s latest family, the impact and scale that RaaS offers ransomware gangs has proven successful.<h5>State-sponsored attacks continue to rise and break records.</h5>Russia has become one of the leading threat actors in the world. After several cyber attacks in 2022, including on Ukrainian government websites, organizations, and companies, several Russian groups such as Sandworm, Callisto, and Gamaredon continued their campaigns against the Eastern European nation in H1 2023.In addition to Russia, Deep Instinct’s Threat Research team identified a new command and control framework, named <a href="https://www.deepinstinct.com/blog/phonyc2-revealing-a-new-malicious-command-control-framework-by-muddywater" target="_self">PhonyC2</a>, which has been used by the Iranian-based MuddyWater group since at least 2021. The threat lab also observed and analyzed a previously undocumented and undetected new variant of BPFdoor by Red Menshen, a Chinese threat actor.<h5>Underground forums shutdown, but new alternative markets opened.</h5>Throughout 2023, several large darknet and underground hacking forums were closed, including RAID Forums, Breached Forums, Genesis Market, and ASAP Market. Additionally, several ransomware leak sites were seized by the FBI, resulting in the arrests of cyber gang members. However, despite the arrests and closures, growth of the darknet continues. Deep Instinct has observed a flow of new ideas to avoid seizure, including mirroring and alternative protocols, as well as owners of previously shutdown forums opening new, alternative markets.<h5>Cybercriminals taking advantage of LLMs.</h5>The first half of 2023 saw the rise of powerful Large Language Models (LLMs). Cybercriminals took advantage of ChatGPT and other AI-based alternatives by using various jailbreaking guides in underground forums to build their own LLMs for attack, including WormGPT. Additionally, threat actors began abusing non-existent libraries suggested by ChatGPT, infiltrating those recommendations with malicious capabilities.To download Deep Instinct’s 2023 Bi-Annual Cyber Threat Report, please <a href="https://www.deepinstinct.com/cyber-threat-reports" target="_self">click here</a>. To learn more about Deep Instinct’s predictive prevention capabilities, visit <a href="https://www.deepinstinct.com" target="_self">www.deepinstinct.com</a>.###<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit www.deepinstinct.com.<h5>Media Contact</h5>Maddie Meuse Inkhouse for Deep Instinct <a href="mailto:deepinstinct@inkhouse.com" target="_blank">deepinstinct@inkhouse.com</a>

Deep Instinct Threat Report Finds Ransomware, State-Sponsored Attacks, and AI-Powered Cyber Threats Surged in H1 2023

New report analyzes threats and stressors caused by generative AI, with 51% of security professionals likely to leave their job over the next year

NEW YORK, NY, August 23, 2023 – <a href="https://www.deepinstinct.com/" target="_self">Deep Instinct</a>, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, released the fourth edition of its <a href="https://www.deepinstinct.com/voice-of-secops-reports" target="_self">Voice of SecOps Report</a>. The research – “Generative AI and Cybersecurity: Bright Future or Business Battleground?” – was conducted by Sapio Research and surveyed over 650 senior security operations professionals in the US, including CISOs and CIOs.The study highlights the impact of generative AI in the cybersecurity industry, analyzing the technology’s positive and negative effect on organizations’ security postures and preparedness. Unsurprisingly, 75% of security professionals witnessed an increase in attacks over the past 12 months, with an astonishing 85% attributing this rise to bad actors using generative AI.<h5>Generative AI: Business Friend or Foe?</h5>According to the study, 69% of respondents have already adopted generative AI tools within their organization, with the highest adoption taking place (80%) within the finance sector. Nearly three fourths (70%) of security professionals say generative AI is positively impacting employee productivity and collaboration, with 63% stating the technology has also improved employee morale. However, senior security professionals also view generative AI as a disruptive cybersecurity threat, with nearly half (46%) of respondents believing generative AI will increase their organization’s vulnerability to attacks. The top three generative AI threat issues include growing privacy concerns (39%); undetectable phishing attacks (37%); and an increase in the volume and velocity of attacks (33%).The technology has already been repurposed by bad actors as evidenced by <a href="https://slashnext.com/blog/wormgpt-the-generative-ai-tool-cybercriminals-are-using-to-launch-business-email-compromise-attacks/" target="_blank">WormGPT</a>, a new generative AI tool advertised on underground forums as a way for adversaries to launch sophisticated phishing and business email compromise attacks.<h5>Ransomware: As New Vulnerabilities Emerge, An Old Threat Remains a Challenge</h5>In addition to concerns around unknown attacks fueled by generative AI, ransomware continues to plague organizations, with nearly half (46%) of respondents saying that ransomware is the greatest threat to their organization’s data security. In fact, 62% admit that ransomware is the number one C-suite concern, up from 44% in 2022.The pressure to address the ongoing threat of ransomware is causing organizations to shift their data security approach, with almost half (47%) of respondents now possessing a policy to pay the ransom, versus 34% in 2022. This has resulted in 42% of respondents paying for the return of their data over the past year – up from 32% last year. Conversely, those who opt to pay because they have ransomware insurance has fallen from 62% in 2022 to 43% in 2023.<h5>Mounting Security Team Stress: A Call to Change the Status Quo</h5>Today’s cybersecurity teams are grappling with an increased workload given the adoption of new technologies like generative AI. As a result, more than half (55%) of security professionals say their stress levels have increased, with the top reason being staffing and resource limitations (42%). In fact, 51% are likely to leave their job in the next 12 months as a result of stress. Furthermore, despite the persisting industry skills gap, job security has become a concern for some cybersecurity professionals, with 14% of respondents fearing their job will soon become irrelevant and 11% feeling unclear if their role will exist five years from now due to the rise of AI.When diving deeper into the top stressors, false positives from antiquated cybersecurity tools are creating a massive strain on security operations teams’ time, with false positives accounting for over two working days of lost productivity per week. This has caused dissatisfaction with current security tools, with most (65%) respondents saying they <a href="https://www.deepinstinct.com/endpoint-detection-response" target="_self">deserve better from Endpoint Detection and Response (EDR)</a> and <a href="https://www.deepinstinct.com/deep-instinct-vs-competitors" target="_self">Next-Generation Antivirus (NGAV)</a> solutions – up from 51% in 2022.EDR tools make it impossible to truly prevent threats. To alleviate cybersecurity team stress and strengthen security postures, prevention must take precedence over reactive protection. Nearly three out of four respondents (72%) believe preventing attacks before they occur is a priority, signaling a needed change from the industry.“In this new era of generative AI, the only way to combat emerging AI threats is by using advanced AI – one that can prevent and predict unknown threats. Relying on antiquated tools like EDR is the equivalent of fighting a five-alarm fire with a garden hose,” said Lane Bess, CEO of Deep Instinct. “Assuming breach has been an accepted stance but the belief that EDR can get out ahead of threats is simply not true. A shift toward predictive prevention for data security is required to remain ahead of vulnerabilities, limit false positives, and alleviate security team stress.”To download Deep Instinct’s Voice of SecOps report, please click <a href="https://www.deepinstinct.com/voice-of-secops-reports" target="_self">here</a>. To learn more about Deep Instinct’s predictive prevention capabilities, visit <a href="https://www.deepinstinct.com/" target="_self">www.deepinstinct.com.</a> <h5>Survey Methodology</h5>Sapio Research surveyed 652 senior cybersecurity experts from companies with 1,000+ employees in the USA. The interviews were conducted online in June 2023 using an email invitation and an online survey. Respondents worked at organizations which operated in either financial services, technology, manufacturing, retail, healthcare, public sector, or critical infrastructure (such as telecoms, energy, utilities, and transportation).C-suite is defined as those who hold chief, global, head of department, or director roles, while reports are those who hold a manager, administrator, analyst, team lead, or officer role.###<h5>About Deep Instinct</h5>Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world’s first and only purpose-built, deep learning cybersecurity framework. We predict and prevent known, unknown, and zero-day threats in &lt;20 milliseconds, 750X faster than the fastest ransomware can encrypt. Deep Instinct has &gt;99% zero-day accuracy and promises a &lt;0.1% false positive rate. The Deep Instinct Predictive Prevention Platform is an essential addition to every security stack—providing complete, multi-layered protection against threats across hybrid environments. For more, visit www.deepinstinct.com.<h5>Media Contact</h5>Maddie Meuse Inkhouse for Deep Instinct <a href="mailto:deepinstinct@inkhouse.com" target="_blank">deepinstinct@inkhouse.com</a>

Announcing DSX for Cloud - Amazon S3, natively integrated zero-day data security for AWS S3.