The recognition of SafePaaS in the 2026 Market Guide for Identity Governance and Administration reflects a market where governance is becoming central to AI-era security planning. For cybersecurity leaders, the significance is less about a single vendor placement and more about the capabilities organisations now expect from an IGA platform.

AI agents intensify a familiar governance weakness: access can be granted faster than ownership and review processes can keep up. An agent may inherit permissions through an account, connect to several applications or create downstream identities. If those relationships are not visible, teams cannot reliably assess whether activity is authorised or excessive.

A modern IGA evaluation should begin with identity coverage. Buyers should ask whether a platform can discover identities across cloud services, enterprise applications and infrastructure, then correlate them with people, teams, business services and accountable owners. Inventory without context creates another dashboard; governance requires decisions and evidence.

Policy automation is equally important. Organisations need rules for least privilege, separation of duties, access expiry and high-risk changes. Those policies must be usable in request workflows and continuous monitoring, not limited to annual certification campaigns. Risk scoring can help reviewers concentrate on unusual privileges, dormant access and identities associated with sensitive data.

AI governance also raises questions about delegation. A platform should make it possible to distinguish an agent’s technical identity from the human or business process it serves. Approvals, tokens, delegated authority and purpose limitations should be recorded so that an incident can be reconstructed without ambiguity.

For cybersecurity leaders, the Market Guide signal is a prompt to connect IGA with the broader control framework. Success will depend on clean identity data, strong lifecycle automation and governance processes that can adapt as AI agents move from experiments into production operations.