Ephemeral least-privilege identity management for AI agents
Build identity and access-management infrastructure that provisions narrowly scoped identities and permissions for AI agents only when needed, limits them to the required action and time period, monitors their behavior, and removes their identities afterward.
online B2B Deep Tech / Infrastructure
From IBM Technology — Can you social engineer an AI? Plus: AI worms and the nonhuman identity problem at 26:32
Problem: Non-human identities can remain active indefinitely, escape regular monitoring, accumulate excessive privileges, and be abused without anyone noticing. Agents running under a primary or root user account can cause significant damage when they make mistakes.
For: Organizations operating AI agents, service accounts, APIs, or other non-human identities.
Products from this video
Examples
- OpenClaw was described as allowing anyone to run an agentic framework on a laptop; the panel warned that such agents may run under the main or superuser account and could make a large mess if they make a mistake.
Other takes on AI security infrastructure
- Agentic consent governance layer for autonomous AI systems
- Enterprise agentic last-mile identity and access control layer
- Identity-based security infrastructure for multi-agent AI systems
- AI-agent security and control infrastructure for enterprises
- A guardrail tool that enforces strict test-driven development and other engineering rules for AI coding agents
- AI-powered scam-interception and threat-intelligence service
All AI security infrastructure ideas →