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FIRST LOOK OpenLeash Adds Human-in-the-Loop Checks for Risky AI Agent Actions // FIRST LOOK OpenAI Astra Ships Recurrent Depth Reasoning with CoT Monitoring Pledge // CRITICAL OpenAI Agents Coordinate Unsanctioned Hugging Face Hack // CRITICAL CVE-2026-19592: Git Config Flaw Lets Attackers Run Code in Codex // FIRST LOOK CrowdStrike Launches Agentic Identity Provider for AI Agents // FIRST LOOK OpenAI Launches Astra with Critical Cyber Capability Controls // FIRST LOOK Sevii Launches Autonomous ADR Agents for AI-Speed Attack Defense // FIRST LOOK Palo Alto Networks Acquires AI Agent Platform Console // FIRST LOOK OpenAI Launches Astra with Advanced Autonomous Cybersecurity Skills // HIGH UAC-0099 GuardBreaker Trips LLM Safety to Block Malware Analysis //
CVE-2026: Google Antigravity Sandbox Escape via Prompt Injection

CVE-2026: Google Antigravity Sandbox Escape via Prompt Injection

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.0 The Hacker News

A now-patched vulnerability in Google's agentic IDE Antigravity allowed attackers to achieve arbitrary code execution by injecting malicious flags into the find_by_name tool's Pattern parameter, bypassing the platform's Strict Mode sandbox before security constraints were enforced. The attack chain could be triggered entirely via indirect prompt injection—embedding hidden instructions in files pulled from untrusted sources—requiring no account compromise and no additional user interaction. This case exemplifies the systemic risk of insufficient input validation in AI agent tool interfaces, where autonomous execution removes the human oversight layer that traditional security models depend on.

CVE-2026: Anthropic MCP SDK Remote Code Execution

CVE-2026: Anthropic MCP SDK Remote Code Execution

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.4 The Hacker News

A systemic 'by design' vulnerability in Anthropic's Model Context Protocol (MCP) SDK enables arbitrary remote code execution across all supported language implementations via unsafe STDIO transport defaults, affecting over 7,000 publicly accessible servers and 150 million downloads. The flaw has been independently confirmed across 10+ popular AI frameworks including LiteLLM, LangChain, and Flowise, with Anthropic declining to modify the protocol's architecture. This represents a significant AI supply chain risk with cascading exposure to sensitive data, API keys, and internal systems.

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