Sophos alumni lead arrival of instinctive protection that detects what no one else can
Deep Instinct, the first company to apply deep learning to cybersecurity and the World Economic Forum’s Technology Pioneer of 2017, has arrived in Australia as part of its global expansion into the Asia Pacific region.
Disrupting the traditional cybersecurity market with unparalleled levels of accuracy, Deep Instinct detects threats others cannot find. It replaces legacy solutions based on manual analysis and detection methods, with an instinctive approach that identifies and blocks cyberattacks in real-time before any potential damage can occur.
Israeli-based Deep Instinct uses a proprietary neural network inspired by the brain’s natural ability to learn and is the first of its kind to be applied to cybersecurity. It scans 100% of data sets with unprecedented, industry leading precision to protect against zero-day threats and Advanced Persistent Threat (APT) attacks, while ensuring less false positives and an overall safer organisation.
Stuart Fisher, ex-Sophos APAC Managing Director and now Senior Vice President at Deep Instinct, is spearheading the start-up’s regional presence, with fellow alumnus Justin Peters as Senior Director, Sales Engineering and Professional Services, APJ.
“Cybersecurity threats remain one of the biggest challenges for the enterprise. They’re becoming more frequent and intelligent, and organisations are engaged in an arms race to protect themselves,” said Stuart Fisher, Senior Vice President, Asia Pacific, Deep Instinct.
“Every enterprise has a responsibility to protect data so it’s become an operational imperative that CISOs today deploy the most advanced, predictive AI algorithms for autonomous cyber protection. While new data regulations won’t solve the CISO’s challenge, they will make organisations more accountable and encourage the evaluation of superior AI solutions that are far more predictive, with a greater level of autonomous operation and minimal human intervention – and that’s where Deep Instinct excels.”
With millions of highly malicious and automated malware mutations created everyday, Australia has experienced a 26% increase in cybercrime costs since 2016. On average, each cyberattack within Australia costs an organisation USD$2.55m, indicating traditional cybersecurity solutions are no longer effective protection against ever evolving threats.
Deep Instinct’s neural network has stopped all threats like Spora, WannaCry, NotPetya and Badrabbit in their tracks, with zero input or updates required from SOC teams and before any customer impact. It operates in parallel with customers’ legacy systems, augmenting existing infrastructure and investments without the need to ‘rip out and replace’ as with most solutions. Deep learning deploys quickly to deliver an immediate increase in enterprise cyber protection.
“We provide the most advanced cybersecurity protection available to help enterprises protect their data, their brand and their profit. This gives them the confidence to innovate with new and emerging technologies that drive revenue growth, because they know their security is robust enough to detect and block any new threats,” said Stuart.
Deep Instinct is actively onboarding qualified Australian partners to support the increasing demand for its premium AI expertise and capabilities, focusing on the BFSI, manufacturing and education sectors.
About Deep Instinct
Deep Instinct is the first company to apply deep learning to cybersecurity. Leveraging deep learning’s predictive capabilities, Deep Instinct’s on-device, proactive solution protects against zero-day threats and APT attacks with unmatched accuracy. Deep Instinct provides comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device and operating system. For more information about Deep Instinct, visit: www.deepinstinctasia.com
