Keycard vs Clutch Security
Side-by-side comparison of identity tools. Sponsored placement is disclosed where applicable.
Quick answer
Keycard vs Clutch Security: which should you choose?
Short answer
Keycard vs Clutch 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
- Keycard: Engineering and security teams deploying autonomous or semi-autonomous AI agents (including MCP-based tooling) who need per-task credentials, policy enforcement, and audit trails. · Clutch Security: Identity security and IAM teams at mid-market to enterprise organizations that need visibility and governance over sprawling machine identities, secrets, and emerging AI agents.
- 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
- KeycardClutch SecurityIAM Stack FinderBuyer resources
| Attribute | ||
|---|---|---|
| Best for | Engineering and security teams deploying autonomous or semi-autonomous AI agents (including MCP-based tooling) who need per-task credentials, policy enforcement, and audit trails. | Identity security and IAM teams at mid-market to enterprise organizations that need visibility and governance over sprawling machine identities, secrets, and emerging AI agents. |
| Short description | Keycard is an identity and access platform purpose-built for AI agents, founded by former Snyk and Auth0 leaders (including the creator of Passport.js). It verifies agent identity, mints short-lived task-scoped tokens in place of static API keys, and enforces runtime policy with auditable logs. | Clutch Security is a non-human identity (NHI) security platform that maps service accounts, keys, tokens, and AI agents to their origins via its Identity Lineage graph, then layers on lifecycle management, posture, and threat detection. It added an Agentic AI Governance module for discovering and setting guardrails around AI agents and their credential usage. |
| Company size | Startup, Mid-market, Enterprise | Mid-market, Enterprise |
| Deployment | SaaS / Cloud-hosted | SaaS / Cloud-hosted |
| Source | Proprietary | Proprietary |
| Pricing model | Free tier + published subscription with usage-based overage | Contact vendor for pricing |
| Integrations | Okta, AWS, Kubernetes, SPIFFE/SPIRE, GitHub, Slack, Salesforce, Datadog | AWS, GCP, Azure, Kubernetes, Okta, Microsoft Entra ID, GitHub, Terraform |
| Categories | AI Agent Identity, Non-Human Identity, Authorization | Non-Human Identity, AI Agent Identity, Secrets / API Key Management |
| Claimed profile |
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