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FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel // HIGH Hidden Prompt Injection Attacks Hijack Autonomous AI Agents // FIRST LOOK Schneier and Raghavan Frame AI Agent Risk as a Genie Problem // HIGH ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel // FIRST LOOK Capsule Security Launches AI Circuit Breaker for Rogue Agents // MEDIUM Rogue AI Agents Drive Insurers to Rethink Cyber Risk // HIGH LLM-Assisted Intrusions Hit Latin American Orgs via NextChat // HIGH GPT 5.6-Cyber Breaks VM Sandboxes, Exposing Agent Limits //
AGENT-TELEMETRY

Agent-Telemetry

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AWS Adds Agentic Observability via OpenSearch Service MCP Apps

AWS Adds Agentic Observability via OpenSearch Service MCP Apps

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.5 AWS Machine Learning Blog

AWS has released agentic observability tooling through Amazon OpenSearch Service MCP Apps, providing structured visibility into the actions, tool invocations, and decision traces of AI agents running on AWS infrastructure. This closes a meaningful gap for defenders who previously lacked native, queryable telemetry over agent behaviour — a prerequisite for detecting anomalous tool use, privilege escalation patterns, and unexpected data access in agentic pipelines. Realising the full defensive value will require mature logging schemas, tuned detection rules, and integration with existing SIEM or SOAR tooling that most organisations are still building.

AWS AgentCore Observability Brings Multi-Cloud AI Agent Monitoring

AWS AgentCore Observability Brings Multi-Cloud AI Agent Monitoring

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.8 AWS Machine Learning Blog

AWS has launched AgentCore Observability, a capability within its AgentCore platform that extends AI agent monitoring to on-premises and multi-cloud environments, giving operators unified visibility into agent behaviour regardless of deployment location. This closes a significant blind spot for defenders who previously lacked consistent telemetry across heterogeneous AI agent deployments, making it harder to detect anomalous agent actions or policy violations at runtime. Realising the full security value will depend on integration maturity, the depth of observable signals exposed, and whether organisations have the operational processes to act on the telemetry produced.

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