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The Fastest Path to AI Compliance That Actually Works
Most teams fail AI compliance because they start with tools instead of decisions. HAIEC exists to remove uncertainty—with deterministic scanning, audit-ready evidence, and governance that runs where code lives.
🎯 Who Are You?
Choose your role to see your fastest path:
🔴 Executive Path
Make the Right Risk Decision
What decision are you trying to make right now?
"Are we exposed by our AI systems?"
"Are we ready for an audit or regulator?"
"Can we prove compliance if challenged?"
"Can we safely deploy AI in production?"
1. AI Risk Snapshot
Decision you unlock:
"I can clearly explain our AI risk to leadership—with evidence, not guesses."
What HAIEC does:
- 24 security rules covering OWASP LLM Top 10
- 3-Tier scanning: GitHub → Static → Runtime
- Zero AI guessing, 100% reproducible
- Cryptographic proof included
2. Audit Readiness
Decision you unlock:
"We know exactly what evidence is required—before the audit starts."
What HAIEC does:
- SOC 2, ISO 27001/42001, EU AI Act, NYC LL144
- CSM6 Framework 6-layer governance
- Law Finder: Which regulations apply?
- Pre-audit checklists included
3. Audit-Defensible Proof
Decision you unlock:
"I can confidently say yes to auditors, customers, or regulators—and prove it."
What HAIEC does:
- Cryptographically signed Trust Artifacts
- SHA-256 hashed evidence packages
- Public verification URLs
- Kill switch documentation included
4. Production Governance
Decision you unlock:
"Risky AI will not ship without visibility or override—enforced automatically."
What HAIEC does:
- GitHub App: Every PR gets scanned
- CI/CD pipeline enforcement
- Runtime monitoring with kill switch
- Continuous compliance evidence
🟡 Manager Path
Get Clarity, Then Recommend
This path exists to reduce confusion and speed internal alignment—not to sell prematurely.
What do you need most right now?
Understand AI compliance well enough to brief leadership
Align stakeholders around a clear recommendation
Prepare for an upcoming audit or review
1. AI Compliance Orientation
Decision you unlock:
"I understand the landscape and can explain it without jargon."
- AI Compliance 101 guide
- CSM6 Framework primer
- AI Penalty Tracker (real fines)
- Framework comparison matrix
2. Internal Alignment Pack
Decision you unlock:
"Our stakeholders agree on next steps—no more debate spirals."
- Free compliance guide (PDF)
- Visual explainers for presentations
- Real examples from other companies
- Security playbook templates
3. Pre-Audit Readiness
Decision you unlock:
"We know where we stand before involving auditors—no surprises."
- Self-audit gap analysis
- Evidence expectations by framework
- Readiness dashboard
- Remediation priority ranking
This path is intentionally low-pressure. Its purpose is to help you make the right recommendation, not rush a purchase.
🟢 Developer Path
Enforce Governance Where It Counts
Where do you want control?
Code, prompts, and model calls
CI/CD and deployment
Runtime behavior
Evidence and reporting
1. Code & Prompt Safety
Goal:
Prevent risky AI logic from entering the codebase.
- 24 deterministic security rules
- Prompt injection pattern detection
- PII and API key detection
- 100% local validation (llmverify npm)
npm install llmverify2. CI/CD Enforcement
Goal:
Fail builds when AI governance rules break.
- GitHub App for automated PR scanning
- Policy-as-code configuration
- Pipeline templates (GitHub Actions, GitLab)
- SBOM generation (CycloneDX, SPDX)
# See CI/CD templates3. Runtime Control
Goal:
Detect and intervene when AI behaves unexpectedly.
- Kill Switch SDK (5-layer shutdown)
- Real-time anomaly detection
- OpenTelemetry integration
- Human-override hooks
npm install @haiec/kill-switch-sdk4. Audit-Ready Evidence
Goal:
Generate proof without manual reporting.
- Cryptographically signed Trust Artifacts
- ISAF Logger (EU AI Act Article 12)
- Compliance badges (47 variants)
- Automated reporting on every deploy
pip install isaf-loggerStill Unsure?
If you're unsure which path applies, that uncertainty itself is a governance risk.
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