haiec-ai-agent-security-free-mcp
Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.
README
HAIEC Agent Security
Security checks for AI coding agents before code reaches production.
Status
PRE-RELEASE — UNDER ACTIVE DEVELOPMENT
This project is in early development. No security scanning capability is functional yet. Do not rely on this repository for production security checks.
What This Project Is
HAIEC Agent Security is a control surface for AI agent security. It defines four independent security checks that an AI coding agent can invoke when the situation calls for them:
| Check | Purpose | Status |
|---|---|---|
scan_ai_security |
Source-code security scanning for AI/LLM applications | Not yet integrated |
scan_tenant_isolation |
Cross-tenant boundary checks | Not yet integrated |
verify_llm_content |
LLM input/output verification | Not yet integrated |
check_deploy_security |
Release/deploy gate | Not yet integrated |
One Workflow, Four Independent Checks
SCAN AI CODE → scan_ai_security
CHECK TENANT BOUNDARIES → scan_tenant_isolation
CHECK MODEL INTERACTIONS → verify_llm_content
GATE THE RELEASE → check_deploy_security
These checks are independent. HAIEC does not automatically cascade every engine. Each check is selected on its own semantic merit:
- Source-code security →
scan_ai_security - Cross-tenant boundaries →
scan_tenant_isolation - Actual LLM input/output →
verify_llm_content - Merge/release/deploy →
check_deploy_security
Architecture
haiec-ai-agent-security-free-mcp/
├── src/
│ ├── contracts/ # Shared types: findings, results, tools, verdicts
│ ├── mcp/ # MCP server factory and tool definitions
│ ├── security/ # Output sanitization, path boundaries, secret redaction
│ ├── provenance/ # Canonicalization and digest utilities
│ ├── engines/
│ │ ├── ai-security/ # AI source-code security engine (not yet integrated)
│ │ ├── tenant-isolation/ # Tenant isolation engine (not yet integrated)
│ │ └── llmverify/ # LLM content verification engine (not yet integrated)
│ └── orchestration/
│ └── deploy-security/ # Release gate orchestration (not yet integrated)
├── tests/ # Unit and architecture tests
├── evals/ # AI tool-selection evaluations
└── rules/ # Rulepack metadata (no rule bodies published yet)
Engine Independence
Each engine is an independent product with its own execution path:
scan_ai_securitydoes NOT invoke LLMVerify or Tenant Isolation.scan_tenant_isolationdoes NOT invoke LLMVerify or AI security scanning.verify_llm_contentdoes NOT invoke source scanning or tenant scanning.- Only
check_deploy_securitymay intentionally compose engines, and it must disclose which engines ran, which did not, and why.
Current Capabilities
What exists today:
- TypeScript package scaffolding with MCP v2 structure
- Shared contracts (findings, results, tools, verdicts)
- Tool metadata with semantic "when to use" / "when not to use" descriptions
- Engine independence enforcement (architectural tests)
- Path boundary validation
- Secret redaction in outputs
- Output sanitization
- Canonicalization and provenance helpers
- AI tool-selection evaluations
- CI workflow
What does NOT exist yet:
- No security scanning engine is integrated
- No MCP tool is registered for execution
- No rule bodies are published
- No npm package is published
- No security guarantee is provided
Installation
This package is not yet published to npm. It is intended for local development only at this stage.
git clone https://github.com/subodhkc/haiec-ai-agent-security-free-mcp.git
cd haiec-ai-agent-security-free-mcp
npm ci
npm run build
npm test
License
License decision pending. Until a license is added, this repository should not be described as open source. The final license remains a founder/IP decision.
Contributing
This project is in pre-release development. Contributions are not yet solicited until the foundation stabilizes and a license is selected.
Related Projects
- LLMVerify — LLM content verification (independent product, separate repository)
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