Holistic AI Ethics & Compliance - HAIEC

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HAIEC "Holistic AI Ethics & Compliance" is an AI governance, security and compliance platform built for organizations that need to prove how their AI systems are controlled, tested and documented. The platform helps teams identify AI exposure across source code, system architecture and runtime behavior. Its capabilities include static AI security analysis, adversarial endpoint testing, bias-risk indicators, governance assessments, evidence collection and generation of reproducible compliance artifacts. HAIEC’s core differentiator is its deterministic approach. Instead of relying solely on one probabilistic AI system to judge another, HAIEC produces traceable and repeatable findings tied to defined rules, technical evidence and regulatory requirements. Outputs can include timestamped records, cryptographic hashes, gap analyses, control mappings and evidence packages. HAIEC supports governance work associated with frameworks and requirements such as the NIST AI Risk Management Framework, EU AI Act, NYC Local Law 144, Colorado AI requirements, SOC 2, ISO standards, GDPR and HIPAA, depending on the selected assessment and organizational context. Technical teams can use HAIEC to detect risks such as prompt injection, missing authorization, unsafe tool access, data exposure, RAG poisoning and tenant-isolation failures. Compliance and executive teams can use the resulting evidence to evaluate exposure, assign remediation work and prepare for customer reviews, audits and regulatory inquiries. HAIEC does not merely provide a generic compliance checklist. It connects governance requirements to system evidence so organizations can move from unsupported compliance claims to documented, defensible AI controls. Core Differentiators • Deterministic and reproducible AI-system assessments • “No AI testing AI” methodology • Evidence tied to specific technical findings • Static source-code and configuration analysis • Runtime adversarial testing • Signed and timestamped evidence artifacts • Regulatory and control-framework mapping • Developer-first GitHub and CI/CD workflows • Combined AI security, governance and documentation • Self-service platform with managed assurance options Technical outputs for developers and executive outputs for decision-makers