Token Security vs RELAI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Token Security compared with RELAI
| Detail |
Token Security |
RELAI |
| What it does | AI Agent and Non-Human Identity Security Platform
| The continual learning engine for AI agents
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - AI Agent and MCP Server Discovery
- Over 1,000 Built-In Integrations
- Intent-Based Permissioning
- Identity Threat Detection and Response
- Lifecycle Management
- Accountability and Traceability
- Compliance and Auditability
- Security Posture Management
- AI-Driven Automation and Remediation
- Token MCP Server
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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| What makes it different | - Identity-first approach built for AI agents, not human-centric tools
- Unified identity graph correlating agents, humans, secrets, permissions, and data
- Intent-aware least-privilege enforcement across agent lifecycle
- Deep continuous discovery across on-prem, hybrid, and cloud environments
- Native AI capabilities with Token MCP Server and AI Agent
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 63 ▲ +1 (up) since last check | 23 ● no change since last check |
| Trust Flow (Majestic) | 21 | 13 |
| Citation Flow (Majestic) | 44 | 25 |
| Referring domains (Majestic) | 680 | 79 |
3 details filled in for both companies.
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