Token Security
Capability scores
Methodology →- Authentication
- 3.0
- SSO & Federation
- 3.0
- Authorization
- 3.5
- Lifecycle & Provisioning
- 3.5
- MFA & Passwordless
- 2.5
- Governance & Audit
- 4.0
- Developer Experience
- 3.5
- Deployment Flexibility
- 3.0
- Pricing Transparency
- 2.5
- Support & Ecosystem
- 3.0
Scored 0–5 against a published rubric. Independent analysis, no vendor sponsorship.
Overview
Machine and service identities outnumber humans in most environments, and they are frequently the path attackers actually use. Token Security focuses on this non-human identity (NHI) problem, building a unified inventory of service accounts, secrets, workloads, and AI agents, then mapping their access and risk. It frames itself around a machine-first identity security model.
Capability deep-dive
Token Security's value is in consolidating fragmented NHI data into one inventory with ownership, usage, and risk context, which makes cleanup and least-privilege work tractable. Governance and audit are the strongest areas, with growing coverage for AI agents. Weaknesses follow from being young: it is not an IdP, so authentication and MFA sit outside the core, runtime issuance and rotation are limited compared with secrets-management tools, and the reference base is small. The non-human identity space is still forming, so expect rapid roadmap changes and treat the product as a discovery and governance overlay rather than an enforcement control plane.
Pricing
No public pricing. Enterprise subscription scoped by environment and connectors, sold through a sales-led motion with a proof of concept.
Bottom line
A credible early entrant for organizations that want machine and AI agent identity visibility now. Verify maturity against your specific environments before standardizing on it.