LIVE FEED
FIRST LOOK Microsoft Copilot Gains Local File Access via Hybrid Intelligence // FIRST LOOK AWS Adds Native Access Controls for RAG via Amazon Quick and Bedrock // HIGH DPRK npm Supply Chain Worm Uses Web3 C2 to Steal Cloud Keys // FIRST LOOK Rein Security Launches $25M Runtime Guard for AI Agents // HIGH APT Uses AI-Generated Lures in Google AitM Phishing on Taiwan // CRITICAL Tensorlake npm Package Hijacked by Shai-Hulud Worm // FIRST LOOK Meta Launches Open Standard to Authenticate AI Agents on the Web // FIRST LOOK Anthropic Launches 3-Tier Cyber Verification Program for AI Access // FIRST LOOK CrowdStrike Maps LLM Safety Classifier Evasion for Defenders // HIGH OpenAI Adds Training Monitors After Medicare Data Breach //
AUTHORIZATION

Authorization

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
Outerlimit Launches Decentralized AI Agent Authorization Layer

Outerlimit Launches Decentralized AI Agent Authorization Layer

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

Outerlimit has emerged from stealth with $16 million in pre-seed funding, offering a decentralized authorization layer designed to discover, observe, and block harmful autonomous AI agent actions at runtime. This directly closes a critical defender gap around excessive agency — the absence of a principled, enforceable control plane that sits between AI agents and the real-world actions they attempt to execute. The primary maturity question is whether the platform can achieve the broad agentic ecosystem coverage needed to enforce policy across heterogeneous multi-agent environments in production.

AWS Adds Defense-in-Depth Authorization for MCP Tools on Amazon Q

AWS Adds Defense-in-Depth Authorization for MCP Tools on Amazon Q

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 AWS Machine Learning Blog

AWS has published guidance and implementation patterns for defense-in-depth authorization controls applied to Model Context Protocol (MCP) tools within the Amazon Q platform, addressing the authorization gap that emerges when AI agents are granted access to external tools and services. This closes a meaningful defensive gap for enterprises deploying agentic AI: the risk of excessive or unverified tool invocation authority, which has been a persistent blind spot in MCP-based agent architectures. Realising the full benefit will require organisations to have mature IAM governance, MCP server inventory discipline, and operational runbooks for agent permission scoping already in place.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.