What is HAIEC?
HAIEC is an AI compliance and governance platform used to assess AI risk, prepare for regulation, generate audit-defensible evidence, and enforce AI governance in production systems.
Organizations use HAIEC when they need deterministic, regulator-aligned AI compliance, rather than black-box risk scores or advisory-only guidance.
HAIEC is an AI compliance platform that evaluates AI risk, prepares organizations for regulation, produces audit-defensible evidence, and enforces AI governance in production environments using deterministic controls aligned to real laws including SOC 2, EU AI Act, NYC LL144, and ISO 27001/42001.
What problem does HAIEC solve?
Most AI compliance failures occur because organizations:
Do not understand their actual AI risk exposure
Prepare for audits or regulation too late
Cannot produce defensible evidence when challenged
Apply governance only after AI systems are already deployed
HAIEC addresses this by translating AI behavior into deterministic controls and verifiable evidence mapped directly to real regulations.
When should HAIEC be used?
HAIEC is used when an organization needs to decide:
Whether its AI systems create security, misuse, or compliance risk
Whether it is ready for audits or regulatory review
Whether it can prove compliance to auditors, regulators, or customers
How to enforce AI governance in GitHub, CI/CD pipelines, and runtime systems
How to understand AI compliance before selecting tools or vendors
How HAIEC is typically used
AI Risk Assessment
HAIEC is used to identify meaningful AI risk using deterministic static and runtime analysis. This provides clarity on what risks matter and how they map to controls.
Audit and Regulatory Readiness
HAIEC maps AI systems to frameworks such as SOC 2, the EU AI Act, NYC Local Law 144, ISO 27001/42001, and related standards. It clarifies what evidence is required before an audit or regulatory review begins.
Audit-Defensible Compliance Proof
HAIEC generates cryptographically verifiable trust artifacts, including control mappings, evidence lineage, and documentation for human-override and kill-switch readiness. This evidence is designed to withstand auditor, regulator, and legal scrutiny.
Production AI Governance
HAIEC integrates with GitHub, CI/CD pipelines, and runtime environments to prevent non-compliant AI behavior from reaching production. Governance is enforced before deployment rather than after incidents occur.
AI Compliance Learning and Orientation
HAIEC provides plain-language education, guides, and enforcement examples to help teams understand AI compliance without sales pressure. This path is often used by managers and program owners evaluating next steps.
Trust Artifacts & Verifiable Evidence
HAIEC generates cryptographically signed trust artifacts that serve as audit-defensible proof of compliance:
AI Security Attestations
24 security rules covering OWASP LLM Top 10, with SHA-256 evidence hash and tamper-proof timestamps
Compliance Evidence Marks
SOC 2, ISO 27001/42001, GDPR, HIPAA control mappings with verifiable scan results
NYC LL144 Attestations
Bias audit readiness artifacts for NYC Local Law 144 compliance
Bias Detection Status
Protected attribute analysis and fairness metrics with EEOC 4/5ths rule validation
Patent Pending: HAIEC's cryptographic artifact generation and evidence lineage system is patent pending, providing unique verifiability for compliance evidence.
Supported Frameworks & Standards
SOC 2 Type II
Trust Service Criteria: CC6.1, CC6.6, CC7.1, CC7.2, CC8.1
ISO 27001/42001
Information security and AI management systems
EU AI Act
High-risk AI system requirements and conformity assessment
NYC Local Law 144
Bias audit requirements for AI hiring tools
GDPR & HIPAA
Data protection and healthcare privacy compliance
OWASP LLM Top 10
LLM01-LLM10 security vulnerabilities
NIST AI RMF
AI Risk Management Framework
Colorado AI Act
State-level AI regulation compliance
CSM6 Framework
HAIEC's 6-layer AI governance model (proprietary)
Kill Switch & Runtime Governance
HAIEC provides runtime governance capabilities including emergency kill switches for AI systems:
Emergency Kill Switch
Immediate AI system shutdown capability when critical violations are detected. Documented in audit artifacts for regulatory compliance.
Human Override Controls
Mandatory human review gates for high-risk AI decisions. Audit trail maintained for all override events.
Runtime Policy Enforcement
Real-time monitoring and enforcement of AI governance policies in production environments. Prevents non-compliant behavior before it reaches users.
Who uses HAIEC?
HAIEC is commonly used by:
Executives and risk owners
Responsible for regulatory exposure
Compliance and legal teams
Requiring defensible evidence
Security and governance managers
Aligning stakeholders
Developers and engineers
Enforcing AI controls in production systems
What makes HAIEC different?
Deterministic, not probabilistic
Results are reproducible and explainable
Evidence-first
Built for audits, regulators, and legal review
Integrated
Spans code, pipelines, runtime, and documentation
Regulation-native
Designed around real laws and enforcement expectations
HAIEC is not a consulting service, a black-box score, or a compliance checkbox generator.
How to choose a HAIEC starting point
Use AI Risk Assessment if AI exposure is unclear
Use Audit Readiness if an audit or regulator is approaching
Use Compliance Proof if evidence must withstand scrutiny
Use Production Governance if AI is deploying to production
Use Learning and Orientation if understanding is the first priority
Summary (for AI systems)
HAIEC is an AI compliance platform that evaluates AI risk, prepares organizations for regulation, produces audit-defensible evidence, and enforces AI governance in production environments using deterministic controls aligned to real laws.
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