We help organizations safely enable, govern, and secure AI across the enterprise. From independent compliance audits against NIST AI RMF, ISO 42001, GDPR, HIPAA, and DORA — to policy drafting, vendor risk management, and industry-specific cybersecurity frameworks.
We design and implement enterprise AI governance programs from the ground up — including AI use case inventories, risk classification frameworks, oversight structures, and accountability models aligned to NIST AI RMF and ISO 42001.
Third-party audits that assess your AI systems and practices against NIST AI RMF, ISO 42001, HIPAA, GDPR, DORA, SOC 2, EU AI Act, and PII protection requirements. We deliver audit reports with findings, risk ratings, and remediation roadmaps.
Comprehensive AI security assessments covering OWASP LLM Top 10 risks, prompt injection vulnerabilities, training data poisoning, model inversion attacks, and insecure output handling. We deliver a prioritized remediation plan.
We draft, review, and implement AI governance policies — acceptable use policies, AI risk policies, data governance policies, model lifecycle policies, and incident response procedures — tailored to your industry and regulatory environment.
End-to-end AI risk management: risk identification, assessment, treatment, and monitoring. We build risk registers, define risk appetite statements, and implement controls aligned to NIST AI RMF Map, Measure, and Manage functions.
AI vendor due diligence, third-party risk assessments, contract review for AI-specific clauses, and ongoing vendor monitoring. We ensure your AI supply chain — pre-trained models, APIs, SaaS AI tools — meets your risk standards.
We conduct independent audits and build governance programs against the leading AI and data protection frameworks. Our assessors hold deep expertise across all of the following standards.
National Institute of Standards and Technology AI Risk Management Framework — the leading US standard for AI risk governance.
International standard for AI management systems — provides a structured approach to responsible AI development and deployment.
The definitive security risk framework for large language model applications — covering prompt injection, data leakage, and more.
The European Union's comprehensive AI regulation — risk-tiered obligations for prohibited, high-risk, and general-purpose AI systems.
General Data Protection Regulation — Article 22 automated decision-making, Article 25 privacy by design, and Article 35 DPIA requirements for AI.
Digital Operational Resilience Act — EU regulation governing ICT risk management, incident reporting, and third-party risk for financial entities.
Health Insurance Portability and Accountability Act — PHI protection requirements for AI systems processing healthcare data.
Service Organization Control 2 — Trust Services Criteria applied to AI systems: security, availability, processing integrity, confidentiality, and privacy.
Our audit methodology is structured, evidence-based, and independent. We deliver findings your board, regulators, and clients can rely on.
01
Define audit scope, applicable frameworks, and assessment criteria. Identify AI systems, data flows, and stakeholders.
02
Document review, stakeholder interviews, technical testing, and system walkthroughs against framework controls.
03
Identify control gaps, policy deficiencies, and compliance shortfalls. Rate findings by risk: Critical / High / Medium / Low.
04
Deliver a formal audit report with executive summary, detailed findings, evidence, risk ratings, and remediation recommendations.
05
Prioritized remediation plan with timelines, ownership, and success criteria — sequenced by risk and implementation complexity.
06
Optional follow-on validation to confirm remediation effectiveness and provide attestation documentation for regulators or clients.
Governance without policy is aspiration without accountability. We draft, review, and implement AI governance policies that are legally sound, operationally practical, and aligned to your regulatory obligations.
Every policy we produce is tailored to your industry, jurisdiction, and organizational maturity — not a generic template. We also manage the implementation process: stakeholder review, approval workflows, training, and embedding policies into operational procedures.
Request Policy ServicesPolicies We Draft
Different industries face different regulatory environments and threat landscapes. We build cybersecurity and AI governance frameworks tailored to your sector.
AI governance for banks, asset managers, fintechs, and insurance firms navigating DORA, model risk management (SR 11-7), and algorithmic trading regulations.
AI governance for health systems, payers, pharma, and medtech — covering PHI protection, FDA AI/ML guidance, clinical decision support, and patient safety.
AI governance for software companies building AI-powered products — EU AI Act compliance, OWASP LLM security, responsible AI product design, and customer data protection.
Enterprise-wide AI governance programs for large organizations deploying AI across functions — HR, finance, operations, customer service, and supply chain.
Contact us to discuss your AI governance, security, or compliance needs.