Forge Orbital vs Token Security
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Forge Orbital compared with Token Security
| Detail |
Forge Orbital |
Token Security |
| What it does | AI accountability that grows into governance
| AI Agent and Non-Human Identity Security Platform
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - Governance: checks proposed AI actions against defined rules before execution
- Recorded decision records that can be reviewed, replayed and verified later
- Evaluation: compares AI agent performance using representative test cases and expected outcomes
- Optimization: recommends model and cache candidates based on usage, prices and evaluation evidence
- Regress detection identifies changed action paths and quality regressions
- On-premises and private cloud deployment
- Integration with existing AI tools via connectors and wrappers
- No model training on customer data; separate data boundaries from external AI providers
- Cost comparison and optimization across model and cache configurations
| - 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
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| What makes it different | - Independent accountability: checks run inside your systems, not asking another AI to audit AI
- Your people keep authority: Forge produces decision evidence, your business enforces results
- Recorded decision evidence that auditors and regulators can examine
- Designed for consequential work in regulated industries like financial services
- Not another dashboard: integrates into your workflow without replacing your AI tools
| - 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | 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) | Not checked yet ● no change since last check | 63 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 0 | 21 |
| Citation Flow (Majestic) | 7 | 44 |
| Referring domains (Majestic) | 22 | 680 |
4 details filled in for both companies.
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