TL;DR: Security teams and MSSPs will have to deal with both agentic AI and non-human identities at once in 2026, underscoring that identity governance is now spanning machine credentials and autonomous behaviour, according to Keyfactor. The governance problem is no longer theoretical: access, auditability, and privilege boundaries are being stressed faster than traditional IAM cycles can adapt.
NHIMG editorial — based on content published by Keyfactor: Security Teams, MSSPs Will Wrestle with Agentic AI, Non-Human Identities in 2026
Questions worth separating out
Q: How should security teams govern AI agents that use non-human identities?
A: Security teams should govern AI agents as runtime actors that sit on top of non-human identities, not as ordinary applications.
Q: Why do non-human identities become more risky when agentic AI is involved?
A: Non-human identities become more risky because agentic systems can combine credentials, tools, and timing decisions in ways static provisioning did not anticipate.
Q: What do security teams get wrong about AI agent governance?
A: Teams often treat agent governance as a policy wrapper around a model or application.
Practitioner guidance
- Define agent-specific identity boundaries Document which tools, data sets, and downstream identities each agent may access, then bind those permissions to a named business owner and a defined runtime purpose.
- Tighten machine credential lifecycle controls Apply short-lived credentials, explicit revocation paths, and scope limits to every service account, token, and certificate an agent can use.
- Instrument end-to-end identity telemetry Log the initiating identity, credential used, tool invoked, and resulting action so that security and compliance teams can reconstruct behaviour after the fact.
What's in the full analysis
Keyfactor's full newsroom item covers the editorial context this post intentionally leaves at a higher level:
- The specific 2026 outlook framing behind the article's warning on agentic AI and NHI.
- The broader Keyfactor commentary on why security teams and MSSPs are being forced to address both topics together.
- The product and solution context that sits behind the newsroom statement, including where Keyfactor positions trust, compliance, and machine identity.
- The surrounding newsroom references that show how the vendor is linking AI, cryptography, and identity topics.
👉 Read Keyfactor's newsroom note on agentic AI and non-human identities in 2026 →
Agentic AI and NHI in 2026: what security teams are facing?
Explore further
Agentic AI turns identity governance from a provisioning problem into a runtime control problem. The central shift is that access is no longer only granted at setup and reviewed later. An autonomous actor can choose tools, chain actions, and change its effective privilege footprint during execution. That breaks the assumption that identity states are stable enough to certify after the fact. The practitioner conclusion is simple: review-based IAM alone cannot describe or govern agent behaviour.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: How can organisations prove accountability for agentic and machine actions?
A: Organisations prove accountability by capturing end-to-end identity telemetry that ties each action to a credential, an initiating identity, and a business owner. They also need revocation evidence and scope logs so investigators can see whether access stayed inside its intended boundary. Without that chain, audit and incident response both become guesswork.
👉 Read our full editorial: Security teams will wrestle with agentic AI and NHI in 2026