framework
What if your privacy tools could learn as they go?
A new academic study proposes a way to design privacy mechanisms that can make use of prior knowledge about how data is distributed, even when that information is incomplete. …
From theory to training: Lessons in making NICE usable
SMBs may not have big budgets, but they are on the receiving end of many cyberattacks. A new study from Cleveland State University looked at how these companies could train …
Researchers develop AI system to detect scam websites in search results
Scam websites tied to online shopping, pet sales, and other e-commerce schemes continue to cause millions in losses each year. Security tools can accurately detect fraudulent …
A2AS framework targets prompt injection and agentic AI security risks
AI systems are now deeply embedded in business operations, and this introduces new security risks that traditional controls are not built to handle. The newly released A2AS …
New framework sets baseline for SaaS security controls
Managing security across dozens or even hundreds of SaaS apps has become a major headache. Each tool has its own settings, permissions, and logs, and most third-party risk …
Cybersecurity AI (CAI): Open-source framework for AI security
Cybersecurity AI (CAI) is an open-source framework that helps security teams build and run AI-driven tools for offensive and defensive tasks. It’s designed for anyone working …
Building security that protects customers, not just auditors
In this Help Net Security interview, Nir Rothenberg, CISO at Rapyd, discusses global differences in payment security maturity and the lessons that can be learned from leading …
Can AI agents catch what your SOC misses?
A new research project called NetMoniAI shows how AI agents might reshape network monitoring and security. Developed by a team at Texas Tech University, the framework brings …
KillChainGraph: Researchers test machine learning framework for mapping attacker behavior
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 …
AIDEFEND: Free AI defense framework
AIDEFEND (Artificial Intelligence Defense Framework) is an open knowledge base dedicated to AI security, providing defensive countermeasures and best practices to help …
New framework aims to outsmart malware evasion tricks
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, …
What happens when penetration testing goes virtual and gets an AI coach
Cybersecurity training often struggles to match the complexity of threats. A new approach combining digital twins and LLMs aims to close that gap. Researchers from the …