framework
The confidence trap holding security back
Security leaders often feel prepared for a major cyber incident, but performance data shows a different reality. Teams continue to miss key steps during practice scenarios, …
Protecting mobile privacy in real time with predictive adversarial defense
Mobile sensors are everywhere, quietly recording how users move, tilt, or hold their phones. The same data that powers step counters and activity trackers can also expose …
Healthcare security is broken because its systems can’t talk to each other
In this Help Net Security interview, Cameron Kracke, CISO at Prime Therapeutics, discusses how the healthcare ecosystem can achieve cohesive security visibility. With …
A new way to think about zero trust for workloads
Static credentials have been a weak point in cloud security for years. A new paper by researchers from SentinelOne takes direct aim at that issue with a practical model for …
Everyone’s adopting AI, few are managing the risk
AI is spreading across enterprise risk functions, but confidence in those systems remains uneven, according to AuditBoard. More than half of organizations report implementing …
A safer way to break industrial systems (on purpose)
Cybersecurity teams often struggle to test defenses for industrial control systems without risking disruption. A group of researchers from Curtin University has developed a …
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 …
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