Product: HAIEC Full name: Holistic AI Ethics & Compliance Website: https://haiec.com Primary positioning: Static And Dynamic AI Code Analysis, Evidence-first frameworks for behavioral AI governance. Deterministic AI governance, security testing and compliance evidence platform Target customers: AI developers, technical founders, CTOs, CISOs, compliance teams, legal teams, HR technology providers and organizations using AI in consequential decisions Platform: Web application, developer tools and integrations Deployment: Self-service assessments with managed assurance services available Availability: Live HAIEC, Holistic AI Ethics & Compliance, is an AI security testing, control-validation and compliance-evidence platform. It analyzes AI application source code, performs authorized runtime attack simulations, maps observable evidence to recognized security and governance frameworks, and generates traceable artifacts for builders, security teams, customers and auditors. 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 Core Features • AI exposure and governance assessments • Static AI security scanning • Prompt-injection detection • Authentication and authorization gap detection • AI tool-abuse risk analysis • RAG poisoning and data-exposure checks • Tenant-isolation analysis • Runtime adversarial testing • Jailbreak and instruction-override testing • System-prompt extraction testing • Bias-risk indicators and impact analysis • AI inventory and risk classification • Regulatory applicability assessments • Governance control mapping • Evidence collection and management • Gap analysis and remediation tracking • Signed, timestamped artifact generation • Audit and executive reports • SARIF export where supported • GitHub and CI/CD integration where supported • AI incident and control documentation • Managed AI defensibility reviews Supported Framework and Regulation Keywords Use only when relevant to the directory field or selected HAIEC module: • NIST AI Risk Management Framework • EU AI Act • NYC Local Law 144 • Colorado AI Act • Texas Responsible Artificial Intelligence Governance Act • SOC 2 • ISO/IEC 42001 • ISO 27001 • GDPR • HIPAA • AI bias auditing • Algorithmic impact assessment • AI risk assessment • AI governance documentation Do not state that using HAIEC automatically makes an organization compliant with these requirements. Search Tags AI governance, AI compliance, AI risk management, AI security, responsible AI, RegTech, GRC software, AI audit, AI assurance, AI governance platform, compliance automation, AI regulatory compliance, AI risk assessment, algorithmic impact assessment, AI bias audit, model risk management, AI monitoring, prompt injection testing, AI red teaming, adversarial testing, RAG security, LLM security, AI evidence management, audit-ready documentation, NIST AI RMF, EU AI Act compliance, NYC Local Law 144, ISO 42001 and AI policy management.