AI Security Guard 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.
AI Security Guard compared with iLang Inc.
| Detail | 
AI Security Guard | 
iLang Inc. |
|---|
| What it does | Research-backed education and tools for securing autonomous AI agents
| The native language of AI; in human terms, a protocol.
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| Stage | Startup
| Startup
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| Founded | 2025
| 2026
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| Based in | US
| CA
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| Pricing model | Paid
| Open source
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| Pricing | Not given
| Not given
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| Key features | - AgentGuard360 dashboard and Agent Proxy Tool Interface
- Supply chain protection blocking 11,000+ known malicious pip and npm packages
- 14-phase device hardening scans with predictive risk analytics
- Machine-learning-aided runtime scanning of agent content
- Jailbreak detection and prompt injection prevention
- Privacy-first architecture keeps data on device by default
- 500+ model pricing with budget tracking
- Protection SDK with single function call content scanning
- Learning Center with guides, how-tos, and CVE analysis
- Original research on agentic AI and LLM cost optimization
| - 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 | - No PhD in security required to protect AI agents
- Free resources and research with optional paid tools
- Secure agents and environments in five minutes
| - 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) | 18 ● no change since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 2 | 7 |
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| Citation Flow (Majestic) | 27 | 27 |
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| Referring domains (Majestic) | 86 | 66 |
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7 details filled in for both companies.
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