The Challenges
AI agents introduce a new identity surface that traditional security tools are not designed to manage.
Certificates, keys, and secrets used by agents sprawl rapidly across cloud platforms, DevOps pipelines, APIs, and agent frameworks. Most CLM tools focus narrowly on certificates and lack the ability to govern agent credentials, enforce consistent policy, or provide audit-ready visibility into autonomous activity.
The result:
Unmanaged agent identities
Embedded or long-lived secrets
Inconsistent policy enforcement
Limited traceability for compliance and risk
Our Solutions
ISS treats AI agents as machine identities with full lifecycle requirements, governed through Identity Lifecycle Management (ILM) within the broader TLM platform.
Using a single trust policy framework, ISS discovers, issues, rotates, revokes, and audits every cryptographic asset – certificates, keys, and secrets – used by AI agents across cloud, container, DevOps, edge, and hybrid environments.
Organizations can start with their highest-risk agent workloads, integrate existing tools, and expand governance without replacing their current infrastructure – reducing security fragmentation while improving control.