Deep Instinct is revolutionizing cybersecurity with its unique Deep learning Software – harnessing the power of deep learning architecture and yielding unprecedented prediction models, designed to face next generation cyber threats.

Deep Instinct partners with Cythera to provide Deep Learning Cyber Security against cyber attacks

Jun 19, 2019 |

Sydney, Australia 19, June 2019,  Deep Instinct, the first company to apply end-to-end deep learning framework purpose-built for cybersecurity, today announced a partnership with Cythera to offer Deep Instinct’s product line to customers all across Australia.

Deep Learning is a revolutionary step forward for cybersecurity. Deep Instinct’s deep neural network learns to predict and prevent all types of cyber threats, both file-based and file-less, and its prediction capabilities become instinctive. As a result, both known and first-seen malware and advanced persistent threat (APT) attacks are predicted and prevented in zero time.

Craig Joyce, Director at Cythera says, “In my past, as Telstra’s Security Practice Director, I could see a serious gap in the market for the same kinds of security services large enterprises protect themselves with, but bundled for easy consumption by smaller businesses – at a price point that didn’t break the bank.  At Cythera, we have designed our product offering around class leading, next generation security protection services that Australian businesses can consume through us for a predictable, low monthly cost.”

“Deep Instinct offers our customers a deep-learning based, cyberthreat protection platform that, during our extensive testing, was second to none. We have made this a key component of every one of our Security Protection bundles here at Cythera. We believe that the functionality Deep Instinct delivers, provides a critical protection layer to be secure from today’s new cyber threats, ransomware and malware.”

Deep Instinct is delivered with unmatched accuracy and speed anywhere in an enterprise ecosystem, leveraging the power of deep learning’s predictive capabilities to offer multi-layer protection across all servers, networks, mobile devices and operating systems (Windows, macOS, iOS, Android and ChromeOS). According to tests conducted by SE Labs, Deep Instinct had a 100 percent prevention and interception rate and zero false positives when a new virus or malware code was released, without interfering with system performance.

“Deep Instinct provides businesses with a predictive threat prevention solution with multi-layered protection against any known or unknown threat from any file or file-less attack, and prevents cyber threats others can’t find” said Chris Brown, Regional Sales Manager, Australia NZ at Deep Instinct. “We are delighted to partner with Cythera and excited to be working with Craig and his team to help expand the reach of our offering to businesses across the country.”

-ENDS-

For further information, please contact Lewis Khan at Allison + Partners on 0423 665 628 or at lewis[email protected]

 

About Deep Instinct

Deep Instinct is the first company to apply end-to-end deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial deep neural network brain learns to prevent any type of cyber threat, its prediction capabilities become instinctive. As a result, any kind of malware, known and new, first-seen malware, zero-days, ransomware and APT attacks from any kind are predicted and prevented in zero time with unmatched accuracy and speed anywhere in the enterprise—Network, EPP, Mobile—enabling a multi layered protection. To learn more, visit: https://www.deepinstinct.com.

 

About Cythera

Cythera’s cyber security solutions allow for the rapid deployment of Protection, Detection, Monitoring, Reaction and Assurance technologies to meet the security needs of Australian businesses, all delivered for a predictable, low monthly cost.  To learn more, visit: www.cythera.com.au