AI Governance & Risk Management (ISO 42001 Alignment)
- Evaluate AI governance structures, accountability models, and cross-functional risk ownership.
- Assess AI risk management practices in alignment with ISO 42001, NIST AI RMF, and enterprise security policies.
- Ensure AI systems adhere to transparency, fairness, explainability, and human oversight principles.
AI Security & Model Integrity
- Identify adversarial AI risks, model poisoning, and data manipulation threats.
- Evaluate AI supply chain risks, including third-party AI models, APIs, and cloud-based AI services.
- Assess secure software development lifecycle (Secure SDLC) practices for AI models.
AI Privacy & Data Protection Compliance
- Ensure AI data collection, processing, and storage comply with GDPR, CCPA, and global privacy laws.
- Assess data minimization, anonymization, and synthetic data strategies for AI training.
- Review AI-driven automated decision-making for compliance with data subject rights (DSARs, right to explanation, and bias mitigation).
Bias, Explainability & Ethical AI Review
- Assess AI models for bias detection, fairness constraints, and mitigation strategies.
- Ensure AI-generated outputs are explainable, reproducible, and auditable for regulatory compliance.
- Evaluate AI systems against ethical principles, including human-in-the-loop (HITL) decision-making.
AI Model Lifecycle Security & Monitoring
- Review AI/ML deployment security, including MLOps and continuous monitoring controls.
- Assess model drift, degradation, and robustness over time.
- Implement AI incident response planning, including model rollback strategies in case of failures.
Third-Party & Vendor AI Risk Management
- Evaluate AI services, SaaS platforms, and third-party AI APIs for compliance, security, and ethical considerations.
- Review AI procurement policies and vendor AI security & governance controls.
Assessment Deliverables
✔ AI Governance & Risk Assessment Report – Identifies ISO 42001 compliance gaps, security vulnerabilities, and regulatory risks.
✔ AI Security & Privacy Audit Findings – Analyzes data protection, model integrity, and adversarial AI risks.
✔ Bias & Explainability Analysis – Assesses AI fairness, transparency, and accountability controls.
✔ AI Regulatory & Compliance Readiness Report – Maps AI practices to ISO 42001, NIST AI RMF, GDPR, CCPA, and upcoming AI laws.
✔ Remediation & Implementation Roadmap – Provides a step-by-step action plan to enhance AI security, governance, and compliance.
Why Choose Us?
✔ Certified AI & Privacy Auditors – Experts with ISO 42001, CISA, CISM, CISSP, CIPM, CDPSE, and AIGP certifications.
✔ AI Security & Risk Expertise – Specialized in adversarial AI, AI model security, and ethical AI assessments.
✔ ISO 42001 & Regulatory Alignment – Ensuring compliance with AI governance frameworks and global privacy laws.
✔ Cross-Industry AI Experience – Serving finance, healthcare, manufacturing, government, and AI startups.
✔ Vendor-Agnostic, Risk-Based Approach – Providing unbiased, strategic AI risk mitigation recommendations.