A segmentation approach that applies control through existing infrastructure rather than installing software on every endpoint. It matters when legacy systems, IoT devices, and constrained workloads cannot host agents, because coverage must still reach those assets if the control is to be complete.
Expanded Definition
Agentless enforcement is a control model that uses switches, firewalls, hypervisors, cloud policy points, or other shared infrastructure to apply segmentation and access decisions without installing software on each workload. In NHI and IAM environments, it is often chosen where endpoints are too diverse, too constrained, or too brittle for an onboard agent. That makes it especially relevant for legacy servers, industrial devices, ephemeral containers, and managed services that still need policy coverage.
Definitions vary across vendors because some products call any centrally enforced policy “agentless,” while others reserve the term for enforcement that occurs entirely outside the protected asset. NHI Management Group treats the term more narrowly: the control must remain effective even when the workload cannot host persistent software. This distinction matters because agentless enforcement is not the same as passive monitoring, nor is it a substitute for identity-aware policy. It should be aligned with segmentation logic described in the OWASP Top 10 for Agentic Applications 2026 and evaluated through the operational lens of NIST AI Risk Management Framework when autonomous systems are part of the traffic path.
The most common misapplication is treating an agentless dashboard as enforcement, which occurs when policy is observed centrally but never actively blocks or restricts lateral movement on the network path.
Examples and Use Cases
Implementing agentless enforcement rigorously often introduces dependency on network architecture and control-plane visibility, requiring organisations to weigh broad coverage against reduced locality and some loss of host-level granularity.
- A hospital segments infusion pumps and imaging devices through network policy, because the devices cannot support a traditional endpoint agent.
- A manufacturing plant applies identity-aware segmentation to SCADA-adjacent systems using shared infrastructure controls, reducing exposure without modifying vendor-certified firmware.
- A cloud team enforces east-west restrictions for ephemeral containers through the platform layer, using the same policy plane that already governs routing and service connectivity.
- A security team applies agentless control to high-risk service accounts identified in the Ultimate Guide to NHIs — 2025 Outlook and Predictions, ensuring that access constraints still apply even when the workload is not instrumented.
- A response team reviews the patterns highlighted in CoPhish OAuth Token Theft via Copilot Studio and then shifts controls to the network edge to stop repeat token abuse.
These use cases are easiest to justify where the protected assets are numerous, fragile, or vendor-managed, and where installing software would create operational risk. They are also reinforced by the broader identity lessons in OWASP NHI Top 10, which emphasise that control points must follow the identity, not just the endpoint.
Why It Matters in NHI Security
Agentless enforcement matters because non-human identities frequently outnumber human users and often operate on systems where agents are impractical. When segmentation depends on software that cannot be deployed, critical service accounts, API-driven workloads, and embedded devices can become blind spots. NHI Management Group research shows that 97% of NHIs carry excessive privileges, which means weak enforcement at the infrastructure layer can quickly become broad lateral movement.
This is also where governance and resilience intersect. The Ultimate Guide to NHIs notes that 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, which is consistent with the direction of the NIST AI Risk Management Framework and the OWASP Agentic AI Top 10 when autonomous tooling is involved. Agentless enforcement becomes especially important after compromise because it can still constrain a workload that is already suspected, isolated, or too legacy to instrument quickly.
Organisations typically encounter the need for agentless enforcement only after a breach, device limitation, or emergency containment event, at which point the control becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10, CSA MAESTRO and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-05 | Agentless segmentation limits lateral movement across non-human workloads. |
| NIST CSF 2.0 | PR.AC-5 | Network access restrictions and segmentation support controlled communications. |
| NIST Zero Trust (SP 800-207) | SA-8 | Zero Trust requires policy enforcement independent of device trust or location. |
| CSA MAESTRO | MAESTRO emphasizes control points around agentic systems, not just on the agent itself. | |
| OWASP Agentic AI Top 10 | A2 | Agentic systems need containment when tools or execution paths become compromised. |
Use infrastructure controls to verify and restrict each connection regardless of endpoint instrumentation.
Related resources from NHI Mgmt Group
- What is the difference between shift left and runtime enforcement for container security?
- What is the difference between GRC documentation and runtime enforcement?
- How should security teams combine agentless and agent-based Kubernetes scanning?
- When does agentless scanning create more risk than it reduces?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on July 10, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
