IBM Adds Governed Identity and Credential Controls to AI Agents

IBM has announced new identity and credential management capabilities specifically designed for AI agents, addressing one of the core enterprise blockers to agentic deployment: how to govern what an agent is allowed to authenticate as and what resources it can access. The system brings fine-grained identity controls into agent workflows, allowing organizations to apply the same IAM policies to agents that they apply to human users. This is a significant enterprise tooling development as agentic systems increasingly need to call external APIs, access databases, and act on behalf of users in production environments. For developers building enterprise agents, IBM's approach provides a reference model for how credential scoping and audit logging can be integrated into agent architectures. This fills a gap that most agent frameworks currently leave to the application developer to solve ad hoc.