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EXPLORE THE PREDICTIVE PREVENTION PLATFORM

End-to-end predictive prevention platform built on a deep learning framework that protects storage, applications, and endpoints.

Prevent >99% of zero-day exploits, ransomware, and unknown threats in your NAS and cloud storage repositories.

Proactively prevent malicious files from entering your storage environment through application uploads by customers, employees, and third parties.

Prevent known and unknown malware, zero-day exploits, ransomware, and script-based attacks before they execute on the endpoint – faster than a blink of an eye.

Leverage advanced predictive prevention technology to protect data across your entire environment.

Data Security: Powered By Deep Instinct

Deep Instinct is the only deep learning framework in the world built from the ground up for cybersecurity.

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Leverage deep learning to deliver highly accurate threat detection and reduce false positives in a rapidly evolving threat landscape.

Stop threats using real-time classification and prevention techniques to ensure robust and efficient cybersecurity.

Proactively stop zero-day threats in <20ms with unparalleled accuracy and minimal false positives.

EDR is not enough — enhance existing cybersecurity tools with advanced, real-time threat prevention using deep learning to produce defense in depth.

Deep Instinct complements Microsoft Defender with advanced threat prevention to stop threats before they enter your environment.

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Perspective & Findings

<h4>Don’t Let Application File Uploads Become Malware Downloads</h4>

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As the cybersecurity industry plays catch up, Deep Learning continues to be the only way to predict and prevent sophisticated AI threats.

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With the widespread availability of generative AI, new cyber threats are emerging daily. Dark AI tools like <a href="https://thehackernews.com/2023/07/new-ai-tool-fraudgpt-emerges-tailored.html" target="_blank">FraudGPT</a> and <a href="https://thehackernews.com/2023/07/wormgpt-new-ai-tool-allows.html" target="_blank">WormGPT</a> have opened advanced adversarial attack methods to a broader audience of less sophisticated actors.The threat landscape has fundamentally changed.As a result, traditional cybersecurity measures no longer work. Organizations need something more powerful and advanced to stay ahead of cybercriminals, to anticipate their next move before they make it, and to prevent ransomware, unknown, and zero-day threats from landing in the first place.Only deep learning has the power to match the speed and agility of this next-gen adversarial AI.There are less than 10 deep learning frameworks in the world – despite other cybersecurity vendors’ bold, false claims on their promises of AI protection. And there’s only one <a href="https://www.deepinstinct.com/why-deep-instinct?_ga=2.237779200.1255878901.1702848544-667067167.1702335063" target="_self">deep learning model dedicated to cybersecurity</a>: Deep Instinct.The power of Deep Instinct rests in our ability to understand and identify the DNA of an attack – detecting and stopping it before it can execute on an endpoint. Its ability to self-learn is extraordinary. It is unmatched in its speed and accuracy to autonomously predict, detect, and prevent threats.We’re fighting dark AI with deep learning.In contrast, most traditional cybersecurity vendors are attempting to advance their machine learning models to fight back against emerging AI-based threats. But not all AI is created equal. You can’t fight advanced adversarial AI with basic machine learning, the technology most cybersecurity vendors hang their hats on. It’s the most basic form of AI and is unsuitable for the task.On a recent <a href="https://www.cnbc.com/2023/11/29/crowdstrike-ceo-says-ai-can-help-prevent-ransomware-attacks.html" target="_self">Mad Money segment, CrowdStike’s CEO George Kurtz told Jim Cramer</a> that using AI to fight sophisticated ransomware attacks is critical to combat the growing threat of dark AI.To address it, Kurtz pointed to the important need for prevention-first technologies that don’t rely on traditional signatures. And he reminded listeners that CrowdStrike has incorporated AI into its product for years.But here’s the catch: the AI advancements from IT security vendors like CrowdStrike are more of the same – they’re still fundamentally based on basic machine learning models and are, therefore, incapable of stopping rapidly evolving, AI-powered cyber threats in the wild.To counter today’s advanced adversarial AI, you need deep learning, the most advanced form of AI. We’re playing chess while other vendors are playing checkers.To learn more, I’d welcome you to check out the following:<ol><li>Read about the <a href="https://www.deepinstinct.com/glossary/deep-learning" target="_self">power of deep learning</a>, and why it is our core differentiator.</li><li>Listen to Deep Instinct’s CEO, Lane Bess, talking about this firsthand with Steven Rosenbush at the <a href="https://www.deepinstinct.com/videos?wchannelid=ysjgh8jbc8&wmediaid=miqn8ruai3" target="_self">Wall Street Journal CIO Network Summit in this video</a>.</li><li>Download our most recent <a href="https://www.deepinstinct.com/cyber-threat-reports" target="_self">2023 Mid-Year Threat Report</a>, which includes predictions about the growing threat of LLMs.</li></ol>Don’t base your organization’s security posture on false promises, or legacy vendors who are still in “catch up” mode.<a href="https://www.deepinstinct.com/contact-us" target="_self">Contact us</a> to learn how deep learning-powered predictive prevention can help your organization stay ahead of adversarial AI, during a time when it’s needed most.

Are Your Cybersecurity Vendors Really Fighting AI with AI?

How we’re protecting organizations’ most valuable asset 

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As artificial intelligence (AI) transforms nearly every industry, it’s also changing how cybercriminals approach their work.Threats have steadily become more sophisticated and commonplace, and fresh avenues for attacks are becoming more accessible for organized cybercrime. AI is arming hackers, nation-state actors, and fraudsters with means to carry out complex and calculated attacks faster, more efficiently, and more easily than ever before.All of this is occurring with more data than ever before. The average large enterprise has between seven and 17 petabytes of data stored in hybrid, cloud, or on-prem databases. With more data available – and vulnerable – and with AI-enabled tools that help cybercriminals create malware and malicious code, it’s more critical than ever for organizations to protect stored data.Breaches can cost millions of dollars to remediate, erode corporate reputation, send share prices tumbling, and anger customers. For enterprises to effectively safeguard critical data, preventing malicious files from landing in their storage is imperative. In an ever-evolving, AI-driven digital landscape, Deep Instinct can protect organizations and the integrity of their data.<h5>Introducing Deep Instinct Prevention for Storage</h5>Traditional storage solutions – whether in cloud environments or through network attached storage (NAS) vendors – focus on storage, not protection. While these solutions are successful at housing data, they lack the adequate protection necessary to protect in an increasingly sophisticated threat landscape. The legacy tools many organizations implement to supplement this lack of protection react to threats only once they’re in the environment, or interrupt workflows by sanitizing essential files into flat copies. And the tools that claim to be AI or machine learning (ML)-driven only detect <a href="https://info.deepinstinct.com/deep-learning-vs-machine-learning-in-cybersecurity" target="_blank">60 percent</a> of unknown attacks post-execution, allowing a zero-day threat or new malware variant time to execute and exhibit known bad behaviors before being caught. They also require human tuning and more time investment from security and IT teams. Organizations that take data protection seriously must leverage tools that actually protect their data. Deep learning (DL) is the solution.<a href="https://www.deepinstinct.com/prevention-for-storage" target="_self">Deep Instinct Prevention for Storage</a> (DPS) – part of our Deep Instinct Prevention Platform – applies a prevention-first approach to storage protection, stopping ransomware, known and unknown threats, and malware from reaching data and executing within the environment, wherever data is stored. Powered by Deep Instinct’s unique DL framework, DPS seamlessly integrates into NAS, hybrid, or public cloud environments while delivering unparalleled efficacy, accuracy, and enterprise-grade scalability. DPS provides proactive prevention that is scalable, saves time, offers ongoing security to comply with regulations, and quickly thwarts cyberthreats before they impact companies’ bottom line.With DPS, organizations can achieve the following:<ul><li>Improve SOC operations and lower TCO: DPS enables teams to reliably and quickly scan millions of documents per day, taking &lt;20 milliseconds per file – 750x faster than the fastest known ransomware can encrypt. It also helps teams confidently assess potential threats with a false positive rate of &lt;0.1% and &gt;99% efficacy in preventing unknown threats.</li><li>Manage solutions and maintain compliance: DPS natively integrates with storage infrastructure, including Dell CAVA and NetApp Vscan, and integration with SIEM and SOAR.</li><li>Streamline threat analysis: DPS automatically logs all file scans and generates detailed events for each malicious file, which are sent directly to the management console. Teams can control and manage remediation actions within storage, including quarantine or deletion of malicious files, as well as restore from quarantine, if needed. It also offers security status at-a-glance with single console management across all Deep Instinct products.</li><li>Ensure data privacy: Data never leaves an organization’s environment. They stay compliant with ensured data privacy and logs from every file scanned.</li></ul>As attacks increase in volume and velocity and emerging technologies like AI expand the threat landscape, a reactive or incomplete approach to data security is no longer sufficient. Organizations must continually scan data to account for the most advanced phishing, malware, and ransomware attacks. Only DL can offer that.You can learn more about this innovative new solution in the following ways:<ul><li>Read the new eBook, <a href="https://info.deepinstinct.com/ai-driven-cyberstorage" target="_blank">AI-driven Cyberstorage: Protecting Organizations’ Most Valuable Asset</a></li><li>Watch our webinar from Wednesday, November 1st, below:</li></ul>

Announcing Deep Instinct Prevention for Storage for cloud storage and NAS environments

Yariv Fishman

From Yariv Fishman.