Token Security vs Ryph
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 Ryph
| Detail | 
Token Security | 
Ryph |
|---|
| What it does | AI Agent and Non-Human Identity Security Platform
| Open-source AI agent orchestration platform for incident response and automation
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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
| Open source
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| Pricing | Not given
| Not given
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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
| - Incident response with agent investigation and pull request generation
- Automated workflows triggered on schedules or webhooks
- Agent summoning from GitHub, GitLab and Radicle with /ryph command
- Semantic memory system for shared and persistent agent learning
- Credentials kept behind gateways with no access in sandbox
- Customized environments per repository with cached dependencies
- Browser use for agent interactions with live watching
- Artifacts and pages for reports and overviews
- Deployment options from laptop to Kubernetes
- Tool proxy with allowlisted MCP server integrations
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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
| - Agents work without holding real credentials or keys
- Changes ship as patches that require review before merge
- Runs on your own infrastructure from laptop to cloud
- Semantic memory learns across runs with deduplication and contradiction handling
- Built-in safety assuming agents can be manipulated or exploited
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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 |
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| DR (Domain Rating by Ahrefs) | 63 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 21 | 0 |
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| Citation Flow (Majestic) | 44 | 0 |
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| Referring domains (Majestic) | 680 | 0 |
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3 details filled in for both companies.
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