AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems

Agentic AI systems retrieve private context, invoke tools, write files, call external services, coordinate with other agents, and may act without human approval. Existing bill of materials artifacts improve transparency for dependencies, model metadata, and training provenance, but leave an agent...

Large Language Models As Explainable Cyberattack Detectors for Energy Industrial Control Systems

In modern energy systems, industrial control systems ICS and power-system SCADA require intrusion detection that is not only accurate but also auditable by operators. The ICS intrusion-detection landscape is currently dominated by established supervised detectors. In this paper, we study whether ...

Why Serverless Risk Demands Identity-Aware Security at Cloud Scale

Key Takeaways Serverless shifts security risk from infrastructure to identity, permissions, and configuration, where small design choices can have an outsized impact. Short-lived cloud credentials reduce persistence but remain powerful; when exposed, they enable authenticated access, escalation,...