Control plane for agentic AI security on the endpoint
The native language of AI; in human terms, a protocol.
Stage
Not given
Startup
Founded
Not given
2026
Based in
US
CA
Pricing model
Freemium
Open source
Pricing
Kirin: Free ($0/mo) for individual developers and small teams (1-5 users), Team plan at $15/mo per user for growing teams (5+ users), Enterprise plan with custom pricing. AgentMesh: Free ($0/mo) with 300 items per category, Premium at $15/mo per user, Pro at $850/mo per user for unlimited API access
Not given
Key features
Policy enforcement before agent execution
Blocks prompt injections and rogue agent actions
Real-time detection of malicious behavior
MCP server scanning and blocking
Shadow AI discovery across organization
Secrets detection and prevention
Skills and extensions vetting
Dangerous artifacts rejection
Support for Cursor, Claude Code, GitHub Copilot, Windsurf
Minute-level deployment
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
What makes it different
Visibility into shadow AI across enterprise systems
Unified control plane for multiple coding agents and IDEs
Supply chain threat discovery before components run
Secure coding enforcement with threat modeling
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
Knostic
iLang Inc.