Post-Deployment Audits & Remediation

AI deployment is just the start. As models, data, and regulations change, gaps in performance, security, fairness, or compliance can emerge. Cogent Infotech offers Post-Deployment Audits & Remediation to review live AI, uncover issues, and deliver structured fixes.

The Challenges

Reality Doesn't Match Expectations

Post-deployment performance often looks different from what was planned for at launch.

Emerging Risk

New risks surface as models and data evolve — even when nothing else has changed.

Outdated Controls

Compliance and governance controls that were fine at launch can quietly fall behind.

No Path to Fix What's Found

Identified issues often lack any structured way to actually get resolved.

We help you continuously evaluate deployed AI and turn audit findings into prioritized, controlled action.

• Assess Continuously — Review performance, risk, security, and compliance after deployment.
• Remediate Systematically — Prioritize and address gaps with controlled fixes.
• Maintain Trust — Keep AI aligned with evolving business and regulatory expectations.

What's Included

• Post-Deployment Performance Audits — How the system is actually performing now.
• Fairness & Bias Reviews — Checking for discriminatory or unfair outcomes.
• Security & Vulnerability Assessments — Identifying security gaps that have opened up.
• Compliance & Governance Reviews — Checking controls against current requirements.
• Data & Model Quality Assessments — Evaluating whether inputs and outputs still hold up.
• Remediation Planning & Implementation — Turning findings into fixes.
• Audit Documentation & Reporting — A clear, defensible record of the review.

What You Get

• A post-deployment audit framework
• An AI risk and compliance assessment
• Performance and fairness findings
• A security and governance gap analysis
• A prioritized remediation plan
• Corrective action tracking
• An executive-ready audit report

Outcomes

More Confidence

Greater assurance in AI that's already live and running.

Faster Risk Detection

Emerging issues caught sooner rather than later.

Less Exposure

Reduced compliance and operational risk over time.

Stronger Long-Term Reliability

Systems that stay dependable well past launch day.

Who This Is For

Organizations that:

• Have AI already in production
• Operate regulated AI systems
• Have AI governance and risk teams
• Have security and compliance teams
• Run data science and ML teams
• Are scaling AI across functions
• Need ongoing AI assurance

Don't Let Deployed AI Become Unmonitored AI

AI needs accountability throughout its lifecycle. Regular audits and structured remediation keep deployed systems reliable, compliant, secure, and aligned with changing business needs.