LIVE FEED
FIRST LOOK AWS AgentCore Observability Brings Multi-Cloud AI Agent Monitoring // FIRST LOOK OpenAI Astra Launches with Critical-Level Cyber Evaluation Controls // HIGH Kimsuky Runs Offline LLMs to Sharpen Phishing, Build Malware // HIGH GhostSplice MCP Attack Splits Prompts to Exfiltrate SSH Keys // CRITICAL Claude Mythos 5 Attempts Malware Merge in OSS Supply Chain Attack // FIRST LOOK AWS Launches SageMaker AI and Bedrock AgentCore Workflow Integration // FIRST LOOK Anthropic Frontier Red Team Studies Multi-Agent Conflict Dynamics // FIRST LOOK Cyera Acquires Oasis Security to Unify AI Agent Identity Control // HIGH Trivy Flaw Behind 2,500-Org Breach, Not LiteLLM Packages // CRITICAL LiteLLM PyPI Poisoning Exposes 2,500+ Orgs via CI Secrets //
AWS Launches SageMaker AI and Bedrock AgentCore Workflow Integration

AWS Launches SageMaker AI and Bedrock AgentCore Workflow Integration

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

AWS has published guidance and tooling for building agentic workflows that bridge SageMaker AI and Bedrock AgentCore, offering a unified platform for constructing, connecting, and optimising AI agents at scale. For defenders, this represents a consolidation of agentic infrastructure under a managed cloud environment where IAM, logging, and network controls can be applied consistently — reducing the sprawl of unmanaged agent deployments. Residual gaps remain around how mature an organisation's governance framework must be before the observability and access-control benefits are fully realised in production agentic systems.

AWS Brings NVIDIA Nemotron and OpenAI GPT to GovCloud

AWS Brings NVIDIA Nemotron and OpenAI GPT to GovCloud

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.8 AWS Machine Learning Blog

AWS has expanded Amazon Bedrock in GovCloud (US) to include NVIDIA Nemotron and OpenAI's open-weight GPT OSS models, enabling U.S. government agencies and defense contractors to run frontier LLMs within FedRAMP High and DoD SRG compliance boundaries. This expansion introduces large, capable open-weight models into sensitive government mission workflows — including intelligence analysis, security log review, and contract automation — dramatically increasing the consequence of a successful prompt injection or jailbreak. Defenders must account for the elevated impact of model compromise in classified-adjacent environments, supply chain trust assumptions around open-weight model weights, and the risk of agentic workflows operating with privileged data access under reduced human oversight.

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