Collaborate Disseminate
A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior across the stages of the Cyber Kill Chain. The work explores how machine lear… Continue reading KillChainGraph: Researchers test machine learning framework for mapping attacker behavior
AIDEFEND (Artificial Intelligence Defense Framework) is an open knowledge base dedicated to AI security, providing defensive countermeasures and best practices to help security pros safeguard AI and machine learning systems. Practicality is at the core… Continue reading AIDEFEND: Free AI defense framework
Attackers have learned how to trick machine learning malware detectors with small but clever code changes, and researchers say they may finally have an answer. In a new paper, academics from Inria and the CISPA Helmholtz Center for Information Security… Continue reading New framework aims to outsmart malware evasion tricks
With sensitive information to protect and reputational risk always in the background, it isn’t easy for security leaders to have open conversations about what’s working and what isn’t. Yet strong peer networks and candid exchanges are critical for resi… Continue reading Finding connection and resilience as a CISO
Scam calls have long been a problem for consumers and enterprises, but a new study suggests they may soon get an upgrade. Instead of a human scammer on the other end of the line, future calls could be run entirely by AI. ScamAgent system architecture R… Continue reading ScamAgent shows how AI could power the next wave of scam calls
Scam calls have long been a problem for consumers and enterprises, but a new study suggests they may soon get an upgrade. Instead of a human scammer on the other end of the line, future calls could be run entirely by AI. ScamAgent system architecture R… Continue reading ScamAgent shows how AI could power the next wave of scam calls
AI infrastructure is expensive, complex, and often caught between competing priorities. On one side, security teams want strong isolation and boundaries. On the other, engineers push for performance, density, and cost savings. With GPUs in short supply… Continue reading Where security, DevOps, and data science finally meet on AI strategy
When analysts at RH-ISAC found themselves spending 10 hours a week just collecting threat intelligence, they knew their process wasn’t sustainable. They were manually tracking blogs, RSS feeds, and social media channels, but it took too long to separat… Continue reading Can AI make threat intelligence easier? One platform thinks so
A single prompt injection in a customer-facing chatbot can leak sensitive data, damage trust, and draw regulatory scrutiny in hours. The technical breach is only the first step. The real risk comes from how quickly one weakness in an AI system can trig… Continue reading AI Security Map: Linking AI vulnerabilities to real-world impact
AI is moving faster than regulation, and that creates opportunities and risks for compliance teams. While governments work on new rules, businesses cannot sit back and wait. In this Help Net Security interview, Matt Hillary, CISO at Drata, look at how … Continue reading How compliance teams can turn AI risk into opportunity