Token Security vs iLang Inc.
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 iLang Inc.
| Detail | 
Token Security | 
iLang Inc. |
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| What it does | AI Agent and Non-Human Identity Security Platform
| The native language of AI; in human terms, a protocol.
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | US
| CA
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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
| - AI-native communication protocol with 88 verbs and two syntaxes
- AI See: give any AI model vision by pasting i.ilang.ai URLs
- Zero installation required, pure text format
- Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
- Loader available via pip and npm for automatic protocol injection
- Prompt compression: 67% reduction in tokens for typical instructions
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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
| - First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
- Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
- Open source and MIT licensed with no royalties or approval required
- Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
- Tested and benchmarked with public conformance results and DOI-registered research
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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 | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 21 | 7 |
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| Citation Flow (Majestic) | 44 | 27 |
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| Referring domains (Majestic) | 680 | 66 |
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4 details filled in for both companies.
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