Natoma vs Token Security
Side-by-side comparison of identity tools. Sponsored placement is disclosed where applicable.
Quick answer
Natoma vs Token Security: which should you choose?
Short answer
Natoma vs Token Security have overlapping use cases in identity and access management. The right pick depends on your company size, deployment model, integrations, and pricing tolerance — compare those attributes side-by-side below.
- Best for
- Natoma: IT, platform, and security teams rolling out AI agents and MCP-based tool access across a workforce and needing centralized governance instead of scattered local configurations. · Token Security: Security and IAM teams at cloud-forward mid-market and enterprise companies that want a dedicated, independent vendor for NHI and AI agent governance.
- When to choose
- Pick the option whose company-size fit, deployment model, and integrations most closely match your stack.
- When not to choose
- Skip a head-to-head if you haven't shortlisted a category yet — start with the IAM Stack Finder instead.
- Related tools & categories
- NatomaToken SecurityIAM Stack FinderBuyer resources
| Attribute | ||
|---|---|---|
| Best for | IT, platform, and security teams rolling out AI agents and MCP-based tool access across a workforce and needing centralized governance instead of scattered local configurations. | Security and IAM teams at cloud-forward mid-market and enterprise companies that want a dedicated, independent vendor for NHI and AI agent governance. |
| Short description | Natoma provides a governed way to connect AI agents and clients (such as Claude Code, ChatGPT, and Snowflake Cortex) to enterprise tools through a catalog of 100+ verified MCP servers, with identity-aware access policies, agent IAM, and audit trails. It began as a non-human identity management platform and has centered its product on secure agentic connectivity. | Token Security is a machine-first identity security platform that discovers non-human identities and AI agents across cloud, SaaS, and on-prem environments, then manages their posture, lifecycle, and threats. In March 2026 it introduced Intent-Based AI Agent Security, which aligns agent permissions with their stated purpose. |
| Company size | Startup, Mid-market, Enterprise | Mid-market, Enterprise |
| Deployment | SaaS / Cloud-hosted, Self-hosted | SaaS / Cloud-hosted |
| Source | Proprietary | Proprietary |
| Pricing model | Freemium with paid Pro and Enterprise tiers | Contact vendor for pricing |
| Integrations | Snowflake, Claude, ChatGPT, CrowdStrike, SAML SSO, SCIM, OAuth 2.1 | AWS, GCP, Azure, Okta, Microsoft Entra ID, GitHub, GitHub Actions, Snowflake |
| Categories | AI Agent Identity, Non-Human Identity | Non-Human Identity, AI Agent Identity, Machine Identity, Secrets / API Key Management |
| Claimed profile |
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