LIVE FEED
HIGH Rogue AI Agents Read Indian Org Data via Exposed Credentials // FIRST LOOK Microsoft Launches Guardian Agents to Monitor AI Agent Behaviour // FIRST LOOK NVIDIA Launches Nemotron 3.5 Super VL and Bolt Agent Models // FIRST LOOK Laminar YC S24 Launches flow-1 for AI Agent Trace Analysis // HIGH OpenCode Console Breach Exposes API Keys, Fuels AI Distillation Attack // CRITICAL AI Agent Army Used to Breach John Deere and SharkNinja // FIRST LOOK OpenAI Decisions API Brings Typed AI Triage to SOC Platforms // FIRST LOOK OpenAI, Meta and Google AI Agents Blocked by Major Web Services // MEDIUM Shadow AI: Personal ChatGPT Use Leaking Corporate Data at Work // FIRST LOOK Check Point Launches Dangerous Deviation Detection for AI Agents //
AGENT-GUARDRAILS

Agent-Guardrails

2 reports
All LLM Security Agentic AI Industry News Research First Look: Security Supply Chain Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report Monthly Review AI Governance AI Security AI Security Tools Identity & Access Management Security Operations
doxx.net Launches ADN Platform to Govern AI Agents Online

doxx.net Launches ADN Platform to Govern AI Agents Online

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.8 SecurityWeek

doxx.net has introduced its Agentic Defense Network (ADN) platform, designed to monitor and constrain AI agents operating on the internet under user-delegated authority, preventing unintended or out-of-scope actions. This closes a meaningful gap for defenders who currently lack runtime guardrails to supervise autonomous agents acting on behalf of users across external web surfaces. The platform's real-world maturity, integration breadth, and coverage of non-browser agentic channels remain open questions as the capability scales.

Brex CrabTrap: LLM Proxy Blocks Agentic AI Prompt Injection

Brex CrabTrap: LLM Proxy Blocks Agentic AI Prompt Injection

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 HN AI Security

Brex has open-sourced CrabTrap, an HTTP proxy that uses an LLM-as-a-judge architecture to intercept, evaluate, and block or allow requests made by AI agents in real time against configurable policies. The tool targets a critical gap in agentic AI deployments — the lack of runtime guardrails for autonomous agent actions — and represents a practical defensive control against excessive agency and prompt injection exploitation. Its production-oriented design positions it as a notable contribution to the emerging agentic AI security toolchain.

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