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FIRST LOOK Check Point Launches Dangerous Deviation Detection for AI Agents // HIGH CERT-In: AI Agents Breached Indian Orgs via Exposed Credentials // FIRST LOOK AWS Launches Trust in Depth Controls for Autonomous AI Agents // FIRST LOOK Anthropic Opens Employee-Level Access to METR Safety Researchers // FIRST LOOK Apate Launches AI Agents That Infiltrate Scam Networks for Intelligence // HIGH OpenAI Engineer Used Chatbot to Plan Covert Bug Planting // HIGH OpenAI Engineer Arrested for Planting Hidden Spy Device // FIRST LOOK Laplace Intelligence Launches AI Red-Teaming for Robots and AVs // FIRST LOOK AWS Launches AgentCore Payments with Anchor Browser for AI Agents // MEDIUM OpenAI Lean Proof Mistranslation Exposes AI Verification Risk //
DATA-GOVERNANCE

Data-Governance

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Microsoft Copilot Gains Local File Access via Hybrid Intelligence

Microsoft Copilot Gains Local File Access via Hybrid Intelligence

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.8 The Verge AI

Microsoft has announced Hybrid Intelligence for Copilot, enabling the AI assistant to access local files, execute multi-step OS-level actions, and coordinate between local and cloud AI models on Windows PCs. For defenders, this represents a meaningful evolution in understanding how agentic AI systems interact with endpoint data and OS surfaces — a pattern that security teams now need to account for in endpoint policy and data governance frameworks. The capability arrives without detailed disclosure of permission scoping, audit logging, or consent controls, leaving security teams with open questions about how to govern Copilot's access to sensitive local assets.

AWS Adds Native Access Controls for RAG via Amazon Quick and Bedrock

AWS Adds Native Access Controls for RAG via Amazon Quick and Bedrock

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 AWS Machine Learning Blog

AWS has introduced integrated access control capabilities for Retrieval-Augmented Generation (RAG) pipelines, combining Amazon Quick and Amazon Bedrock to enforce document-level permissions during AI-driven retrieval. This closes a meaningful gap for defenders: RAG systems have historically treated retrieval as a flat, permissionless operation, meaning users could receive AI-synthesised responses derived from documents they would not normally be authorised to read. Residual maturity questions remain around how granular these controls are at the chunk or passage level, whether they support complex identity federation scenarios, and how access policy drift is monitored over time.

OpenAI Training Opt-Out Setting Silently Re-Enabled for Users

OpenAI Training Opt-Out Setting Silently Re-Enabled for Users

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 OpenAI (via HN)

Multiple users report that OpenAI's 'allow training' opt-out setting is being silently re-enabled after they deliberately disabled it, raising serious concerns about data governance and user consent. A similar pattern has been observed on Anthropic's Claude platform, suggesting this may be a broader industry practice tied to TOS updates or subscription renewals. The behaviour undermines the integrity of privacy controls and means sensitive user conversations may be incorporated into training datasets without genuine informed consent.

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