RAD Security Launches First AI-Powered Incident Investigation with Behavioral Detection & Response Platform

San Francisco, CA, August 6, 2024 — Today, as RAD Security takes the stage as a finalist in the Black Hat Startup Spotlight Competition, it unveils the first-ever AI-powered incident investigation capability for behavioral detection and response. Today, cloud security is based almost exclusively on signature-based detections, which are notorious for burdening security teams with false positives.  RAD Security is the first to combine AI-powered incident investigation with behavioral, signature-less detections, to significantly reduce false positives and provide much-needed relief for overburdened security teams.  

“By definition, signatures are stateless, making investigations based on the signature-focused approach inaccurate and tedious,” says CTO and Co-Founder Jimmy Mesta.  “By adding AI-powered investigations to behavioral detection, which is already a step ahead of signature-based detection in accuracy, security teams can quickly get light years ahead in the accurate assessment of incidents.” 

RAD’s behavioral approach and AI-powered investigations result in the lowering of false positives on their own; but by putting these two capabilities together, RAD enables security teams to achieve a multiplier effect. The enhanced accuracy of behavioral methods versus signature-based methods is easily demonstrated using multiple examples of attack tactics like reverse shells, access to sensitive data, and a Sudo CVE. In these examples, while signatures can be easily bypassed by avoiding the exact parameters, they are detected by RAD’s behavioral solution.  By the same token, a behavioral drift event is not always a malicious event, so the addition of the AI investigation capability ensures additional accuracy. AI is particularly suited for looking across large sets of data and quick contextualization, making it a natural investigation tool and engine to analyze benign versus malicious drift.