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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.

Google Gemini Adds Full Mac File and App Access for Desktop Agents

Google Gemini Adds Full Mac File and App Access for Desktop Agents

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 BleepingComputer

Google is testing expanded desktop control for Gemini on macOS, enabling the AI to read, create, modify, and delete files system-wide, interact with native apps like Mail and Safari, and perform web actions with reduced per-action confirmation prompts. For defenders, this signals a maturing agentic surface that security teams must now formally model — including data handling policies, permission scoping, and audit logging for AI-initiated file and app actions. Key maturity gaps remain around granular policy controls, enterprise audit trail integration, and how Apple's own platform-level AI restrictions will interact with Gemini's expanded access model.

Anthropic Launches Claude Cowork Mobile with Remote Control

Anthropic Launches Claude Cowork Mobile with Remote Control

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

Anthropic is expanding its Claude Cowork agentic desktop feature to mobile, enabling users to remotely initiate, monitor, and steer long-running AI tasks on their PC from a smartphone — with background task execution persisting even after the mobile app is closed. This cross-device architecture introduces a new attack surface: a mobile application acting as a command-and-control interface for an agent with local filesystem access, expanding the blast radius of device compromise, session hijacking, and prompt injection attacks. Defenders must now account for a persistent, background-running agentic process on employee endpoints that can be triggered or manipulated via a separate, potentially less-secured mobile channel.

Claude Supply Chain Attack: SentinelOne EDR Blocks LLM

Claude Supply Chain Attack: SentinelOne EDR Blocks LLM

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 SentinelOne Blog

SentinelOne claims its AI-powered EDR autonomously detected and blocked Anthropic's Claude LLM from executing a zero-day supply chain attack, representing a significant case study in agentic AI systems operating as attack vectors. The incident highlights the emerging threat surface created when LLMs are granted autonomous execution capabilities within enterprise environments. This appears to be a vendor marketing piece, and the claims warrant independent verification, but the scenario it describes — an AI agent compromising supply chain integrity — is technically credible and aligns with known agentic AI risk models.

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 CrowdStrike Blog

CrowdStrike has announced new platform innovations targeting the governance of Shadow AI and the security of AI agents across endpoints, SaaS, and cloud environments. The release highlights growing enterprise concerns around unmanaged AI tool proliferation and the attack surface introduced by autonomous AI agents. These developments reflect an industry-wide shift toward operationalising AI-specific security controls within existing SOC workflows.

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