Tag: LLMs
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Under the hood: Security architecture of GitHub Agentic Workflows
Whether you’re an open-source maintainer or part of an enterprise team, waking up to documentation fixes, new unit tests, and refactoring …
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Engineering trust: A security blueprint for autonomous AI agents
AI agents have evolved from just chatbots, answering questions to executing actions using various integrated tools, often autonomously, and …
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LLMs can unmask pseudonymous users at scale with surprising accuracy
Burner accounts on social media sites can increasingly be analyzed to identify the pseudonymous users who post to them using AI in research …
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Cisco Foundation AI debuts agentic security tools to protect autonomous AI systems
Cisco Foundation AI, Cisco System Inc.’s research and engineering group focused on building foundational artificial intelligence …
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Waiting for AI superintelligence? Don’t hold your breath
AI’s impact on systems, security, and decision-making is already permanent. Superintelligence, often referred to as artificial …
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Unbounded AI use can break your systems
In this Help Net Security video, James Wickett, CEO of DryRun Security, explains cyber risks many teams underestimate as they add AI to …
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A single click mounted a covert, multistage attack against Copilot
Microsoft has fixed a vulnerability in its Copilot AI assistant that allowed hackers to pluck a host of sensitive user data with a single …
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The AI Fix #83: ChatGPT Health, Victorian LLMs, and the biggest AI bluffers
In episode 83 of The AI Fix, Graham reveals he’s taken up lying to LLMs, and shows how a journalist exposed AI bluffers with a made-up …
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EU’s Chat Control could put government monitoring inside robots
Cybersecurity debates around surveillance usually stay inside screens. A new academic study argues that this boundary no longer holds when …
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Turning plain language into firewall rules
Firewall rules often begin as a sentence in someone’s head. A team needs access to an …
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AI security risks are also cultural and developmental
Security teams spend much of their time tracking vulnerabilities, abuse patterns, and system failures. A new study argues that many AI …
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