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Search: “llm security”

3 stories in the last 24h

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CategoryAllAI safety & security 2AI tools & infra 1
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16 governance tools for securing your AI fleet

CSO Online reviews 16 AI governance and security tools, including Collibra, Credo AI, F5/CalypsoAI, Fiddler AI, and Guardrails AI, for managing LLM risks.

CSO Online surveys 16 vendors in the emerging AI governance and guardrails market for keeping production LLMs in check. Featured products include Collibra's AI Command Center, Confident Security's OpenPCC, Credo AI's Govern AI Assistant, F5's acquired CalypsoAI, Fiddler AI's control plane, and Guardrails AI's Snowglobe simulator. The tools address hallucination tracking, PII leakage, prompt injection and jailbreak defense, and compliance with frameworks such as the EU AI Act, SOC2, ISO-42001, and GDPR.

CSO Online · 4h agoAI tools & infra

CaMeLoT: CaMeL orchestrated with Temporal logic for static verification and liveness

Researchers present CaMeLoT, extending CaMeL with CTL model checking that statically rejects unsafe LLM agent plans before any tool executes.

CaMeLoT adds a static verification layer to CaMeL, a runtime defense against prompt injection in tool-using LLM agents. It translates a generated plan into a finite-state transition system, labels it with tool calls, provenance, and taint information, and checks it against CTL temporal policies using the nuXmv model checker before any tool is invoked. Failed checks return counterexamples for plan repair, avoiding LLM calls, tool calls, and sandbox teardown. Evaluation covers policies derived from AgentDojo, SOC workflows, and prompt-extraction experiments.

arXiv cs.CR · 22h agoAI safety & security

Google’s new agent security system detects tool misuse, loops and rogue behaviornew

Google launched Agent Anomaly Detection in private preview, flagging agent tool misuse, prompt injection, privilege abuse, loops and rogue behavior in Security Command Center.

Agent Anomaly Detection is a reasoning-based oversight and audit layer for autonomous agents on Agent Runtime in the Gemini Enterprise Agent Platform, built with the Agent Development Kit (ADK) for Python (2.1.0 recommended), available in Private Preview. It detects selected OWASP agentic Top 10 risks including tool misuse, indirect prompt injection, identity and privilege abuse, agentic cascading failures, and rogue agents, plus operational risks like resource exhaustion. Analysis is layered: a statistical first pass over all traffic, an LLM-based reasoning layer for flagged sessions, and invocation-level analysis; findings publish to Security Command Center with severity, probability, rationale, and recommended actions.

Help Net Security · 38m agoAI safety & security