Regulatory Compliance (EU AI Act, GDPR, HIPAA)

AI regulations are evolving rapidly, making compliance complex. Cogent Infotech evaluates your AI systems against frameworks like the EU AI Act, GDPR, and HIPAA to find gaps, bolster controls, and maintain compliance.

The Challenges

Regulations Keep Moving

New AI and privacy requirements keep emerging, making it genuinely hard to know which obligations apply to your systems.

Compliance Gaps

Existing AI practices often don't fully cover transparency, privacy, documentation, or human oversight requirements.

Sensitive Data Exposure

AI systems can end up processing personal or regulated information without the right controls around it.

Limited Visibility

Without structured assessment and documentation, it's hard to actually demonstrate that your AI meets regulatory expectations.

We translate complex regulatory requirements into practical controls, processes, and documentation that support compliance throughout the AI lifecycle.

• Understand Your Obligations — Identify which AI, privacy, and industry requirements apply to you.
• Close the Gaps — Address weaknesses across data, models, governance, and documentation.
• Stay Prepared — Build compliance practices that evolve as regulations and systems do.

What's Included

• EU AI Act Assessment — Risk classification, transparency, governance, and documentation review.
• GDPR Alignment — Privacy, data processing, consent, and data rights for AI use cases.
• HIPAA Compliance Review — AI systems handling protected health information, assessed against applicable requirements.
• AI Documentation Review — Technical documentation, model records, and decision-making evidence.
• Privacy & Security Controls — Safeguards for sensitive data, access, processing, and storage.
• Transparency & Human Oversight — Explainability, user disclosures, and human review controls.
• Compliance Roadmap — Gaps prioritized, with practical next steps.

What You Get

• An AI regulatory compliance assessment
• EU AI Act, GDPR, and HIPAA findings
• A regulatory gap analysis
• Privacy and security observations
• AI documentation requirements
• Prioritized remediation recommendations
• A compliance control framework
• A regulatory readiness roadmap

Outcomes

Greater Readiness

Know exactly where your AI systems stand against applicable requirements.

Less Compliance Risk

Gaps addressed before they turn into regulatory, financial, or reputational problems.

Stronger Data Protection

Better handling of sensitive and personal data throughout AI workflows.

Confidence to Scale

Compliance built in from the start, not bolted on after the fact.

Build AI That's Ready for What's Next

AI compliance isn't a one-time exercise. As regulations, technologies, and use cases evolve, your approach needs to keep pace. Build a foundation that supports responsible AI adoption today, and holds up tomorrow.