Identity security vs. IAM and IGA in the AI era

At a glance

What this is: This analysis separates identity security from IAM and IGA and shows why AI and non-human identities require continuous, contextual control.

Why it matters: IAM teams need a broader operating model because AI copilots and non-human identities can turn previously acceptable access into material exposure.

By the numbers:

• 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, 46% confirmed and 26% suspected.

👉 Read Oleria Security's analysis of identity security vs. IAM and IGA

Context

Identity security is the practice of controlling who or what can access resources, in what context, and with what level of risk tolerance. That matters because IAM and IGA were built around stable users, roles, and review cycles, while AI copilots, connectors, scripts, and service accounts behave more like persistent infrastructure than like people.

Oleria Security uses the article to argue that IAM and IGA remain necessary but are no longer sufficient on their own. For NHI governance, the practical question is not whether an identity can log in. It is whether that identity should still retain the access it has, whether the access is actually used, and whether an autonomous system can amplify a small mistake into broad exposure.

That starting point is now typical across mature environments. Most organisations already have some IAM and some governance, but fewer have continuous visibility into the behaviour of non-human identities and AI agents.

Key questions

Q: How should security teams govern AI agents that act like non-human identities?

A: Treat AI agents as scoped identities with owners, purpose, expiry, and review requirements. Give them only the access they need, monitor what they actually use, and tie their permissions to explicit business processes. The key is to manage agent behavior as part of identity security, not as a separate automation problem.

Q: What is the difference between IAM and identity security?

A: IAM governs authentication and authorization, while identity security evaluates whether access remains appropriate in context and over time. IAM can tell you who signed in and what policy allowed it. Identity security tells you whether the resulting access is still justified, over-permissioned, or risky for the current environment.

Q: Why do non-human identities make access reviews less effective?

A: Non-human identities often have broader, longer-lived access than people, and their permissions can be hard to see in periodic reviews. If the identity is not being used as expected, a certification process may still approve it. Continuous usage analysis is needed to find stale or excessive access.

Q: Should organisations prioritise IGA or identity security first?

A: Both matter, but the sequencing depends on maturity. If basic authentication and governance are weak, start with IAM and IGA foundations. If those are already in place, add identity security to reduce real exposure, especially where service accounts, tokens, and AI agents have outgrown manual review.

Technical breakdown

How identity security extends beyond IAM and IGA

IAM answers whether an identity can authenticate and reach a resource. IGA answers whether that access was approved, reviewed, and documented. Identity security adds a third layer: continuous evaluation of whether access still makes sense in practice. That matters because roles and approval workflows describe intent, not usage. In modern environments, the same entitlement can be harmless for a person and dangerous for an AI agent or token that can traverse systems quickly. The architecture therefore needs unified identity data, access telemetry, and context such as time, location, and behavior.

Practical implication: Practitioners should treat IAM and IGA as inputs to a continuous control plane, not as the complete control model.

Why non-human identities change the access model

Non-human identities include service accounts, API keys, tokens, certificates, bots, and AI agents. They often have broader and longer-lived access than human users, and they operate without the judgment that a person might apply when something looks unusual. That creates a different failure mode. A human with excess access may trigger a review; an agent with the same access may simply act at machine speed. If those identities are not inventoried, owned, and scoped, least privilege becomes a policy statement rather than an enforceable condition.

Practical implication: Track ownership, scope, and expiry for every NHI before expanding automation or agentic workflows.

What continuous, risk-based access decisions require

Continuous identity security depends on correlating entitlement data with actual usage. The system needs to know which privileges are never touched, which combinations create excess blast radius, and which identities behave outside expected patterns. This is different from periodic certification because periodic review can validate stale entitlements without seeing live risk. In practice, the control model should feed back into deprovisioning, access reduction, and step-up scrutiny for sensitive paths. Without that loop, organisations keep refreshing the same access profile while the environment changes around it.

Practical implication: Use telemetry-driven reviews to remove unused access and flag out-of-pattern NHI behavior before it becomes exposure.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• ASP.NET machine keys RCE attack — 3,000+ exposed ASP.NET machine keys enabled remote code execution.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity security is becoming the operating layer that IAM and IGA never were. IAM remains the mechanism for authentication and authorization, and IGA remains the governance layer for approvals and auditability. But neither one answers whether access is still justified once systems, automations, and AI agents start using it at scale. The discipline now needs continuous context, not just static role assignment. Practitioners should treat identity security as the control layer that limits blast radius when legacy access models drift.

NHI governance is now inseparable from agent governance. AI agents and service identities do not simply increase identity counts. They increase the number of identities that can act without human intervention, which changes how risk accumulates. That is why a governance model built only around human access reviews will miss the most dangerous exposures. Security teams need ownership, lifecycle controls, and behavior monitoring for every non-human identity, especially where autonomous execution exists.

Ephemeral access without governance creates trust debt. Short-lived credentials reduce exposure windows, but they do not solve the underlying problem if the identity behind them is over-scoped or poorly monitored. The security question shifts from how long access lasts to how much damage it can do during that window. That makes entitlement minimization and usage review more important than credential format alone. Practitioners should measure trust debt, not just token lifetime.

The highest-risk environments are the ones that confuse compliance with control. Periodic access reviews can satisfy audit requirements while leaving broad, unused, or machine-exploitable permissions in place. That gap grows when AI tools can discover and chain access paths faster than governance workflows can remove them. Mature programmes should use IGA to prove accountability, but use identity security to prove reduction in actual exposure. Practitioners should not accept audit-ready as risk-ready.

Identity security is now a board-level resilience issue, not a tooling category. When AI assistants inherit broad access, the impact is no longer limited to one system or one team. Access becomes an enterprise blast-radius problem that touches data protection, resilience, and operational trust. The field is moving toward unified identity governance across human and non-human actors, and teams that delay that shift will accumulate unmanaged privilege. Practitioners should align identity security with enterprise risk ownership.

From our research:

• Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, compared to nearly 1 in 4 for securing human identities, according to The State of Non-Human Identity Security.
• 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, which shows how quickly delegated access can outgrow governance.
• For lifecycle controls, see NHI Lifecycle Management Guide and align reviews to the identity paths most likely to drift.

What this signals

Identity security programmes will increasingly be judged by how well they control non-human behaviour, not by how many reviews they complete. The operational challenge is shifting from approval volume to exposure reduction, especially where bots and AI agents can reuse existing entitlements faster than teams can re-certify them. A useful benchmark is that 72% of organisations have experienced or suspect a non-human identity breach, according to the 2024 ESG Report: Managing Non-Human Identities. That level of exposure means continuous control is now the minimum expectation for mature programmes.

Identity blast radius is the right mental model for the next phase of governance. The question is no longer only whether access exists, but how far an identity can move if it is compromised or misused. Teams should map the paths that matter most, then reduce standing permission where agentic workflows or delegated access can reach sensitive data. For the broader control model, anchor your programme to the NIST Cybersecurity Framework 2.0 and the OWASP Non-Human Identity Top 10.

For practitioners

• Implement continuous entitlement review Correlate active usage with assigned permissions across human and non-human identities, then remove unused access on a recurring basis. Prioritize systems where AI assistants, connectors, or service accounts can reach sensitive data.
• Inventory and own every NHI Assign a business owner, technical owner, and expiry condition to each service account, API key, token, certificate, bot, and agent. Unknown ownership should be treated as a control failure, not a documentation gap.
• Separate approval from enforcement Keep IGA workflows for attestations and approvals, but feed their outputs into enforcement controls that can actually reduce privilege, rotate secrets, or disable stale identities.
• Add behavior-based controls for agents Monitor access paths, timing, and anomalous combinations of resources for AI agents and other NHIs. Use the signals to trigger step-up review when an identity behaves outside its normal operating envelope.

Key takeaways

• IAM, IGA, and identity security solve different problems, and modern AI environments need all three.
• Non-human identities create higher governance pressure because they are harder to review and easier to over-scope.
• The practical goal is to reduce standing access and continuously verify whether each identity still needs what it has.

Key terms

• Identity Security: Identity security is the practice of controlling access based on context, behavior, and risk, not just login status. It combines identity data, entitlement data, and usage signals to keep access right-sized as systems, users, and automations change over time.
• Non-Human Identity: A non-human identity is any machine- or software-based identity that can authenticate and access resources, including service accounts, API keys, tokens, certificates, bots, and AI agents. These identities often outlive the tasks they were created for, which makes ownership and rotation essential.
• Identity Blast Radius: Identity blast radius is the amount of damage an identity can cause if it is misused or compromised. It depends on scope, privilege breadth, and the number of systems the identity can reach, so shrinking it means removing excess access and limiting lateral reach.
• Continuous Access Review: Continuous access review is the practice of evaluating identity permissions using live usage and behavior signals instead of relying only on periodic certifications. It helps teams find stale access, unusual patterns, and over-permissioned identities before those conditions become incident paths.

Deepen your knowledge

Identity security vs. IAM vs. IGA is a core topic in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are trying to turn that distinction into a working governance model, it is worth exploring.

This post draws on content published by Oleria Security: Identity Security vs. IAM vs. IGA. Read the original.