Ship AI You Can Defend with
AI Governance
Regulators are catching up. Your AI systems need explainability, bias monitoring, access controls, and audit trails — not as afterthoughts, but as architecture. We help you build AI that's secure, compliant, and defensible from day one.
Access Control
Bias Monitoring
Explainability
Data Privacy
Where AI Compliance & Security Matter Most
If your AI makes decisions that affect people or money, these are the compliance scenarios you need to prepare for.
Credit Decisioning Compliance
Ensure your AI lending models meet fair lending requirements, provide adverse action explanations, and pass regulatory model risk management reviews.
Banking & LendingHealthcare AI Governance
Clinical AI needs FDA-level documentation, patient consent tracking, bias monitoring across demographics, and explainable predictions for physician review.
HealthcareAdversarial AI Defense
Protect your models against prompt injection, data poisoning, model inversion, and evasion attacks that can manipulate outputs or steal training data.
All IndustriesGDPR & Data Privacy for AI
Ensure your AI systems handle personal data lawfully — right to explanation, data minimization, consent management, and automated decision-making compliance.
EU OperationsInsurance Underwriting Fairness
Monitor AI underwriting models for proxy discrimination, ensure rate-setting transparency, and generate documentation for state insurance regulators.
InsuranceAI Security & Compliance Capabilities
From model-level security to enterprise governance — a complete framework for responsible AI deployment.
Model Explainability
Deploy SHAP, LIME, and custom explainability layers that translate model decisions into human-readable reasons — critical for regulated decisions and customer-facing AI.
Bias Detection & Mitigation
Continuous monitoring for demographic bias across protected classes. Automated alerts when model outputs show disparate impact, with mitigation recommendations.
AI Security Hardening
Protect against prompt injection, jailbreaking, data extraction attacks, and adversarial inputs with input validation, output filtering, and model isolation.
Model Risk Management
Full MRM frameworks aligned with SR 11-7, EU AI Act, and industry-specific regulations. Model inventory, validation, documentation, and ongoing monitoring.
Audit Trail & Documentation
Automated generation of model cards, decision logs, training data lineage, and performance records — ready for internal audits and regulatory examinations.
Data Governance for AI
Enforce data access policies, consent tracking, anonymization requirements, and data retention rules across your AI pipeline — from training to inference.
How We Secure & Govern Your AI
AI Risk Assessment
We catalog your AI systems, classify them by risk level (EU AI Act tiers), and identify compliance gaps, security vulnerabilities, and governance blind spots.
Framework Design
We design a governance framework tailored to your regulatory environment — policies, roles, processes, and tooling for the full AI lifecycle.
Technical Implementation
Deploy explainability layers, bias monitors, security controls, access management, and audit logging integrated into your existing AI infrastructure.
Testing & Validation
Red team your AI systems against adversarial attacks, bias scenarios, and edge cases. Validate compliance posture against applicable regulations.
Ongoing Monitoring
Continuous dashboards tracking model fairness, security events, compliance status, and drift — with automated alerts when thresholds are breached.
Your AI Is Only as Strong as Its Governance.
Book a free AI security assessment — we'll identify your top 5 compliance and security risks in one session.
Book Free ConsultationAI your regulators, auditors, and customers can trust.
Compliance isn't a checkbox — it's competitive advantage. Companies with strong AI governance ship faster, face fewer regulatory delays, and build deeper customer trust than those scrambling to bolt on compliance after launch.
Governance That Enables, Not Blocks
The best governance frameworks don't slow teams down — they give teams clear lanes to move fast within. We build frameworks that protect the business without turning every model deployment into a 6-month review.
Why Teams Choose OpenMalo for AI Compliance
We've helped 50+ organizations pass regulatory reviews on the first try. Our frameworks are battle-tested, not theoretical.
Secure Your AI Systems Today
Tell us about your AI systems and regulatory environment — we'll respond with a risk assessment and compliance roadmap within 48 hours.
Zero Regulatory Findings on First OCC Examination
AI Governance Framework for a Digital Lender
How we built a complete AI governance framework for a digital lending platform — covering model risk management, bias monitoring, explainability, and documentation — that passed its first OCC examination with zero findings.
OCC exam approaching with no AI governance in place
A fast-growing digital lender had 12 AI models in production — credit scoring, fraud detection, income verification, and more — but zero formal governance. With an OCC examination 4 months away, they needed a complete MRM framework, bias documentation, and explainability tooling implemented and operational before examiners arrived.
Our Approach: Full SR 11-7 aligned MRM framework with model inventory, risk tiering, validation protocols, and ongoing monitoring. Implemented SHAP-based explainability for all credit models, demographic bias monitoring across 6 protected classes, automated model card generation, and a governance dashboard for the CRO — delivered in 14 weeks.
Frequently Asked Questions
We work across SR 11-7 (US banking model risk), EU AI Act, GDPR, CCPA, HIPAA, PCI-DSS, SOC 2, state insurance regulations, RBI guidelines, and industry-specific frameworks. We tailor the governance approach to your specific regulatory environment.
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