A Peek into AIID2026: AI Agents Are the New Insider Threat
Attackers increasingly target AI assistant session tokens, gaining the user’s identity, context, and tool authority without facing MFA or device checks. Human-centered insider controls like UEBA, session monitoring, and segregation of duties fail under agent speed, blended roles, and weak monitoring inside trust boundaries. Key attack paths include session theft, scalable prompt injection, consent-based social engineering, and poisoned supply chains. Immediate priority: inventory agents, ownersh
Jonathan Care
Oct 05, 2026
AI Identity and Agentic Trust
An autonomous agent can commit the act while no human clearly holds the guilty mind. That gap turns identity and access governance into a core safety control. The text shows how to trace authority from deployer to instruction to credential use, and why the most revealing agent outputs are “I can’t,” “I won’t,” and “I need authorization.”
Mike Small
Sep 29, 2026
Workload Identity & Cloud-Native Trust
Non-human identities can outnumber human accounts by 20 to 90 times, and many exist for seconds. That volatility breaks traditional governance and turns long-lived API keys into high-value impersonation targets. Strong cloud-native trust shifts to attested workload identity, short-lived credentials, and explicit authorization. Agentic AI raises the stakes further by adding delegated authority and decision-making workloads, demanding traceable chains of “who acted, for whom, and with what permiss
Mike Small
Sep 21, 2026