Token Security Platform

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.

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.

Registers each workload identity with an owner and purpose and manages it end to end: provisioning its accounts and credentials, tracking rotation and expiry, cataloging out-of-compliance workloads, and decommissioning orphaned or unused service accounts, keys, and tokens.

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.

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

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.

Assesses each workload identity for credential-centric risk (static or hardcoded credentials, never-rotated keys, excessive privileges, unowned identities, third-party workloads holding privileged access) and drives remediation such as rotation, privilege reduction, or replacement with a dynamic identity. Distinct from the ISPM rows, which assess entitlement hygiene across the whole human and non-human estate.

Continuously discovers and inventories machine identities and the workloads that use them across cloud and on-premises environments: service accounts, API keys, OAuth applications, cloud provider roles, Kubernetes service accounts, and AI agents, as well as TLS, SSH, and code-signing certificates and keys, so unmanaged and unknown identities are brought under management.