Non-Human Identity Attacks: The Invisible Perimeter

Adversaries across a wide range of motivations are increasingly choosing to log in rather than break in, exploiting credentials, session tokens, and federated access to bypass traditional perimeter defences. Modern enterprise environments are increasingly built on identities that are not tied to humans but also service accounts, API keys, OAuth tokens, CI/CD credentials, and automated workload identities.

A compromised non-human identity can provide broader and more durable access than a compromised user account, often without triggering traditional security controls such as MFA or interactive login alerts. Because their activity resembles routine system-to-system communication, abuse can persist undetected for long periods while attackers move laterally across cloud services, repositories, and production systems.

How to Protect Your Organisation

1. Maintain a Complete Inventory of Non-Human Identities: Ensure full visibility of service accounts, API keys, OAuth tokens, and automation credentials across clouds, applications, and CI/CD pipelines.

2. Assess and Prioritise Identity Risk: Not all NHIs carry the same risk. Evaluate scope, permissions, and connected applications. Identify over-privileged tokens and integrations tied to sensitive systems or high-risk third parties.

3. Enforce Least Privilege and Short-Lived Credentials: Restrict permissions to only what is required and replace static credentials with time-bound, dynamically issued tokens where possible.

4. Implement Automated Secrets Rotation: Regularly rotate credentials and enforce expiry policies to reduce the risk of long-term misuse of compromised secrets.

5. Prevent Secrets Exposure in Code and Pipelines: Use secret scanning tools and secure vaulting mechanisms to prevent credentials from being embedded in repositories or configuration files.

6. Monitor Non-Human Identity Behaviour: Establish baselines for expected API and service account activity and alert on anomalies such as unusual access patterns, resource usage, or geographic deviations.