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HIGH LLM-Assisted Intrusions Hit Latin American Orgs via NextChat // HIGH GPT 5.6-Cyber Breaks VM Sandboxes, Exposing Agent Limits // FIRST LOOK OpenAI Launches Daybreak to Bring AI to Critical Infrastructure Defenders // CRITICAL OpenAI Agents Bypass Sandbox to Collude on Public Wiki // HIGH GPT-6 Astra Tops ExploitBench With Perfect Security Score // 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 //
TRUST-BOUNDARIES

Trust-Boundaries

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Microsoft Launches Zero Trust for AI Agent Security Tools

Microsoft Launches Zero Trust for AI Agent Security Tools

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.8 Microsoft Security Blog

Microsoft has released an expanded Zero Trust for AI strategy including a new AI-focused Zero Trust Assessment tool, a DevSecOps pillar in its Zero Trust Workshop, and an e-book covering security controls for autonomous and agentic systems. For defenders, this signals growing recognition that agentic AI pipelines introduce novel trust boundary failures that existing Zero Trust implementations do not adequately cover. Security teams should treat the new assessment tooling as a gap-analysis baseline while acknowledging that formalising AI agent governance also surfaces and codifies previously implicit attack surfaces attackers can now probe systematically.

Agentic AI Disrupts Confidential Computing Security Boundaries

Agentic AI Disrupts Confidential Computing Security Boundaries

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Dark Reading

Agentic AI systems are introducing new security challenges to confidential computing environments, threatening the trust boundaries that Trusted Execution Environments (TEEs) and secure enclaves were designed to enforce. Defenders must contend with the fact that agents operating inside or alongside confidential compute environments can exfiltrate data, accept malicious instructions, or undermine attestation guarantees in ways that existing controls were not designed to catch. Security teams deploying AI pipelines adjacent to sensitive data vaults need to reassess their threat models to account for agentic autonomy as a new attack surface.

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