Token Security Platform

Discovers all machine identities across the environment: TLS certificates (internal and public CA), SSH keys, code signing certificates, service account credentials, and cloud provider identity roles.

Tracks ownership and provides continuous observability for every machine identity - who owns it, what it accesses, how its credentials and privileges are used - across secrets, keys, certificates, and cloud identities.

Treats AI agents as first-class machine identities: unique identity per agent, short-lived purpose-bound credentials, fine-grained dynamic authorization, and linkage to a human owner or supervisor.

Manages cloud-native machine identities (AWS IAM roles, GCP service accounts, Azure managed identities, Kubernetes service accounts) alongside traditional PKI certificates.

Issues short-lived, on-demand credentials to workloads at runtime instead of relying on long-lived static service-account secrets, so credentials expire automatically and reduce the standing attack surface.

Discovers and enforces least-privilege access for non-human and AI-agent identities across systems and data.

Monitors AI-agent behavior at runtime to detect anomalous or malicious actions and policy violations.

Assesses the identities and service accounts that AI models, pipelines, and agents use, flagging over-permissioned non-human identities and access paths that violate least privilege. Reports identity risk as a posture finding, distinct from enforcing access policies at the model API at runtime.

Automatically discovers AI models, LLM API connections, ML pipelines, and AI-enabled SaaS applications in use across the organization, including those deployed without IT authorization.