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What researchers learned about building an LLM security workflow

What researchers learned about building an LLM security workflow

Security operations centers are running into the same wall everywhere. Detection tools generate more alerts than analysts can work through, and the early stages of any investigation involve pulling together logs from several sources to decide whether something is worth escalating. Vendors have spent the past two years pitching LLMs as the answer, with a steady stream of copilots and AI assistants aimed at alert triage. A new paper from researchers at the University of … More →
The post What researchers learned about building an LLM security workflow appeared first on Help Net Security.

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Pipelock: Open-source AI agent firewall

Pipelock: Open-source AI agent firewall

AI coding agents run with shell access, environment variables containing API keys, and unrestricted internet connectivity, creating a single point of failure where one compromised