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“AI will power cyberattacks more and more. In fact, it is reasonable to assume that armies of AI hackers will have greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must look to AI for the faster analytics needed to find malicious activities. With machine learning and AI-driven response, security teams can automate triage and prioritization while reducing false positives by up to 91%. Enterprises will seek innovative solutions that enable them to stay ahead of the next unknown threat”—Gilad Peleg, CEO, SecBI...

AI will power cyberattacks more and more. In fact, it is reasonable to assume that armies of AI hackers will have greater, faster penetration with more automation, allowing hackers to achieve greater success executing cyberattacks. Cyber defense must look to AI for the faster analytics needed to find malicious activities....

In this interview, Alex Vaystikh, Co-founder and CTO at SecBI discusses the issues of manual investigations security teams face often and how technology can help while also improving response times. Alex has 10 years of experience in cyber security research and development, and previously served as Principal Research Scientist at RSA’s Cross-Product Data Science team, which led RSA’s applied Machine Learning and Data Science research. Alex has published several patents and papers, and is a CISSP (Certified Information Systems Security Professional)...

When a cyberattack takes place, the defending side detects very few indications, some of which are random. The difficulty is connecting these indications into a single, consistent context. Special interview with the VP of the SecBI Company, established to provide a solution to this specific problem ...

(Scroll to middle) In many ways, machine learning is about pattern recognition and detecting those events that do not fit a particular pattern:  anomalies. Yet anomaly detection -- a frequently touted capability of many systems -- often does more bad than good, some data analysis experts argue....

Cybersecurity expert Alex Vaystikh recently bought a new dishwasher before realizing that it connects to his Wi-fi to download updates. In an exclusive interview with Digital Journal, Vaystikh expands on smart home risks. The smart home (or 'connected home'), describes how the as-built home environment becomes equipped with modern automation systems to provide a practical way of controlling electronic devices for the consumer. In recent years, a range of smart home devices has emerged, which are connected to the Internet of Things. Does this connectivity present a cybersecurity risk?...

Machine learning anomaly detection has been hyped as the answer to increasingly ineffective signature AV solutions. Yet it often makes the security analyst's job more difficult. So says Alex Vaystikh, CTO and co-founder of SecBI, who adds: "If machine learning is pure anomaly detection, it creates many alerts, most of which are false positives and without context. If you simply deploy a solution to find out if something abnormal is taking place, you're going to get thousands of alerts. This forces the analyst to look at more incidents and actually work harder than before." ...

The Marker: Will developments in the artificial intelligence world help us once and for all from the threat of hackers? Because the existing artificial intelligence mechanisms are not equipped to deal with advanced security threats, the concept of machine learning as a science that drives computers to operate without being programmed, has been developed. Unsupervised machine learning is now considered the forefront of AI development, and the results that it is generating were thought to be imaginary but only a few years ago. Machine learning enables organizations to analyze large volumes of data and identify hidden patterns without having to "learn" the baseline of activities and seek dev...

Could a trade war create a spike in hacking attempts? That’s the concern of cybersecurity professionals, who believe that the proposed new tariffs instituted by the United States will lead to an uptick in cyberattacks from China, and this could directly affect American intellectual property (IP). SecBI’s CTO and Co-found, Alex Vaystikh said, “ IP is most vulnerable right now, before the tariffs are actually imposed. “The reason why IP theft increases and we’re likely to see a blitz is because, with new tariffs, there is a possibility of stronger security walls put around this information, making it harder to access. With this concern, hackers are considering an all-out grab now of ...

“All The President’s Men” is one of my all-time favorite movies. It’s got everything you want in a film: great acting, suspense, an important subject, and an eerie premonition about the difficulty of using machine learning in threat detection. Getting the overview is the mission of SecBI, a solution that provides what the company calls “Full Scope Detection” of activities on a network…...