framework
Witness: Open-source framework for verifying how your software was built
Witness is an open-source command-line tool that records how software gets built, signs that record, and checks it against a policy before the software ships. TestifySec built …
Microsoft sets security and safety rules for its AI models
Microsoft AI has published the first draft of its Humanist AI Code of Conduct, a training manual outlining how it develops AI models and intends them to behave during …
AI is changing what Salesforce security needs to govern
Existing security and governance practices have largely focused on identities, permissions, access, configurations and controls. WithSecure’s Navigating Trust in the Modern …
18 ways to check whether data can be trusted for AI
ETSI has published TR 104 180, a technical report that defines 18 metrics for measuring data quality, giving companies a way to check whether their data is good enough for AI …
OpenAI puts major frontier AI training run on hold over cyber risks
OpenAI temporarily paused reinforcement learning (RL) training on its latest models intended for deployment for two weeks while it hardened and red-teamed research …
PR3TACK preemptive framework maps threats before attackers use them
Defensive frameworks in cybersecurity record what attackers have already done. Analysts study a breach, document the method, and build detections around confirmed activity. …
Researchers make the case for a cybersecurity AI scientist
Autonomous AI agents have started doing real security work. Language-model agents probe software for flaws, run penetration tests, and chain together attack steps that once …
Catching ransomware on the wire before it locks the file server
Corporate networks keep sensitive files off individual workstations and store them on shared servers that staff reach through mapped network drives. That arrangement hands …
How to use NIST and ISO frameworks to govern AI agents
Security leaders no longer need convincing that AI agents introduce risk. What’s missing is how to govern them once they move into production and begin operating autonomously …
Spotless compliance evidence can still hide a broken control
In this interview with Help Net Security, Marc Rubbinaccio, Head of Cybersecurity and Compliance at Secureframe, explains where security teams go wrong when preparing for CMMC …
One in four MCP servers opens AI agent security to code execution risk
Enterprise deployments of AI agents lean on two extension mechanisms that introduce risk at different layers of the stack. MCP servers expose deterministic code functions with …
Scenario: Open-source framework for automated AI app red-teaming
Enterprises running customer service bots, data analytics agents, and other AI-driven applications in production handle sensitive records and connect to core business systems …
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