LIVE FEED
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 // 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 //
TOOL-INVOCATION

Tool-Invocation

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain First Look: Security Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report AI Governance AI Security AI Security Tools Identity & Access Management Monthly Review Security Operations
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.

Amazon Bedrock Prompt Injection Traverses Agent Hierarchies

Amazon Bedrock Prompt Injection Traverses Agent Hierarchies

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Palo Alto Unit 42

Unit 42 researchers conducted red-team analysis of Amazon Bedrock's multi-agent collaboration framework, demonstrating how attackers can systematically exploit prompt injection to traverse agent hierarchies, extract system instructions, and invoke tools with attacker-controlled inputs. The research reveals that multi-agent architectures introduce compounded attack surfaces through inter-agent communication channels, though no underlying Bedrock vulnerabilities were identified. Properly configured Guardrails and pre-processing stages effectively mitigate the demonstrated attack chains.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.