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Submit #908323: java-json-tools jackson-coreutils 2.0 SSRF + BigDecimal Amplification Remote DoS [Accepted]
Внутри человека скрывается химическая «тёмная материя». ИИ начал её расшифровывать
Submit #908321: java-json-tools json-patch 1.13 Denial of Service via Unbounded Patch Operations and deepCopy [Accepted]
Submit #908319: java-json-tools json-patch 1.13 Stack Overflow DoS via Uncontrolled Recursion [Accepted]
ToolHive: The open-source way to run any MCP server securely
ToolHive is an open-source platform that runs Model Context Protocol servers inside containers. An MCP server is the connector that lets an AI client like Cursor or Claude Code reach an outside tool, and Stacklok ships ToolHive under Apache 2.0, so the runtime, the Kubernetes operator, and the registry cost nothing to self-host. A server you install by hand sits on the machine with the machine’s credentials and the machine’s network access. ToolHive drops each … More →
The post ToolHive: The open-source way to run any MCP server securely appeared first on Help Net Security.
Submit #908271: ggml-org llama.cpp master e9fa0781f Assertion [Accepted]
Zero trust AI agents demand a different kind of security
In this interview, Chris Webber, VP, Product Marketing at Teleport, explains why zero trust principles need to change for AI agents. He covers how agents act fast, unpredictably, and continuously, and why old ideas like least privilege and point-in-time verification fall short. Webber also discusses Teleport’s approach: trusted runtimes with zero starting privileges, and identity security that watches agent behavior in real time. He argues that security teams must move from spotting anomalies after the … More →
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ИИ придумал эксперимент, который физики не смогли объяснить
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 before they use it. The report defines each metric and includes the formulas needed to calculate it. The metrics fall into four groups. The first deals with the basics, whether data is complete, accurate, consistent, and free of duplicates. The second asks whether the … More →
The post 18 ways to check whether data can be trusted for AI appeared first on Help Net Security.