Regulatory Gap Analysis (AI Act, GDPR, HIPAA, etc.)

AI regulations are evolving quickly, creating new expectations around privacy, transparency, explainability, security, accountability, and responsible use. Cogent Infotech's Regulatory Gap Analysis evaluates your AI practices against applicable requirements—including the EU AI Act, GDPR, HIPAA, and industry-specific regulations—to identify gaps and define a practical path toward compliance.

Common Challenges

Evolving Regulatory Requirements

New AI regulations and guidance continue to emerge, making it difficult to understand which requirements apply to your AI systems and business operations.

Unclear Compliance Responsibilities

Organizations may lack clear ownership, processes, and controls for managing AI-related privacy, security, transparency, and accountability requirements.

Limited AI Documentation

Incomplete documentation around models, data, decision-making, and risk management can make regulatory compliance difficult to demonstrate.

Compliance Gaps Across AI Systems

AI solutions may meet business requirements while overlooking regulatory expectations related to privacy, explainability, human oversight, or security.

We assess your AI environment against relevant regulatory and compliance requirements, identify gaps and areas of exposure, and provide a prioritized path toward stronger AI governance and regulatory readiness.

• Understand Applicable Requirements — Identify the regulations, standards, and obligations relevant to your AI environment.
• Identify Compliance Gaps — Evaluate current AI practices, controls, documentation, and processes against applicable requirements.
• Build Regulatory Readiness — Prioritize remediation actions and establish a practical roadmap for ongoing AI compliance.

What's Included

• Regulatory Applicability Assessment — Identify relevant AI, privacy, healthcare, industry, and data protection requirements.
• AI Governance Review — Evaluate policies, accountability structures, oversight mechanisms, and AI decision-making processes.
• Privacy & Data Protection Assessment — Review data collection, processing, storage, consent, and privacy practices associated with AI systems.
• Transparency & Explainability Review — Assess how AI decisions, outputs, limitations, and intended uses are documented and communicated.
• Security & Control Assessment — Evaluate safeguards for AI systems, models, data, access, and supporting infrastructure.
• Documentation & Evidence Review — Examine model documentation, data records, risk assessments, testing evidence, and compliance artifacts.
• Regulatory Gap & Remediation Analysis — Identify priority gaps and define recommended actions to improve compliance readiness.

What You Receive

• Regulatory applicability assessment
• AI compliance gap analysis
• Privacy and data protection findings
• Governance and accountability assessment
• Transparency and explainability observations
• Security and control gaps
• Regulatory risk prioritization
• Compliance remediation roadmap

Outcomes

Greater Regulatory Clarity

Understand which AI regulations and requirements apply to your systems, data, and business processes.

Reduced Compliance Exposure

Identify gaps before they become regulatory, financial, operational, or reputational problems.

Stronger AI Governance

Establish clearer controls, responsibilities, documentation, and oversight for AI initiatives.

Continuous Compliance Readiness

Build a practical foundation for adapting to evolving AI regulations and regulatory expectations.

Who This Is For

Organizations that:

• Are deploying or scaling AI across business functions
• Operate across multiple regulatory or geographic environments
• Need to assess AI Act, GDPR, HIPAA, or industry-specific requirements
• Are developing enterprise AI governance frameworks
• Need to identify AI privacy and compliance gaps
• Want to prepare for evolving AI regulations
• Need stronger documentation and regulatory evidence

Turn AI Compliance Into a Competitive Advantage

AI compliance shouldn't be an afterthought. Understand your regulatory obligations, identify gaps, and build the governance and controls needed to scale AI with greater confidence.