LIVE FEED
FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel // HIGH Hidden Prompt Injection Attacks Hijack Autonomous AI Agents // FIRST LOOK Schneier and Raghavan Frame AI Agent Risk as a Genie Problem // HIGH ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel // FIRST LOOK Capsule Security Launches AI Circuit Breaker for Rogue Agents // MEDIUM Rogue AI Agents Drive Insurers to Rethink Cyber Risk // HIGH LLM-Assisted Intrusions Hit Latin American Orgs via NextChat // HIGH GPT 5.6-Cyber Breaks VM Sandboxes, Exposing Agent Limits //
RUNTIME-SECURITY

Runtime-Security

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OpenLeash Adds Human-in-the-Loop Checks for Risky AI Agent Actions

OpenLeash Adds Human-in-the-Loop Checks for Risky AI Agent Actions

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 SecurityWeek

OpenLeash has released a security tool that intercepts potentially dangerous AI agent actions in real time, automatically blocking clear threats and escalating ambiguous actions to a human reviewer for approval. This directly closes the excessive-agency gap — one of the most pressing risks in agentic AI deployments — by inserting a verifiable human control point before consequential actions execute. Residual maturity questions remain around policy definition, latency tolerance in high-throughput agent workflows, and integration breadth across diverse agent frameworks.

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.

AGENTIC AISecurityWeekMEDIUMAI Agent Prompt Injection and Data LeakageThreats Rise

AI Agent Prompt Injection and Data Leakage Threats Rise

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 SecurityWeek

Capsule Security, an Israeli startup, has emerged from stealth with $7 million in seed funding focused on runtime security for AI agents, continuously monitoring their behaviour to detect and prevent unsafe or malicious actions. This positions the company within the rapidly growing agentic AI security space, where autonomous agents executing actions on behalf of users represent a significant and underexplored attack surface. The funding signals growing investor recognition of the risks posed by unmonitored AI agent behaviour, including prompt injection, excessive agency, and unintended tool use.

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