Third-party & Vendor Risk Management

Your AI ecosystem rarely stops at what you build internally. Vendors, foundation models, APIs, data processors, and external AI services can introduce risk that affects your security, compliance, and trust. Cogent Infotech's Third-Party & Vendor Risk Management services help you evaluate, monitor, and govern the external AI providers your organization depends on.

The Challenges We

Limited Vendor Visibility

It's often unclear how external AI providers actually handle your models, data, or sensitive information.

Hidden Dependencies

Third-party models, APIs, and platforms create dependencies that are easy to lose track of.

Inconsistent Reviews

Different vendors get assessed against different standards, leaving real risks uncovered.

Risk That Changes Over Time

A vendor's models, policies, or security posture can shift long after the initial assessment.

We build a structured approach to evaluating, onboarding, monitoring, and governing third-party AI providers throughout the relationship.

• Assess Before You Engage — Evaluate vendors, models, and platforms against defined criteria.
• Manage Ongoing Risk — Monitor vendor performance, security, and compliance over time.
• Strengthen Governance — Clear requirements, responsibilities, and escalation paths.

What's Included

• Vendor Risk Assessment — Security, privacy, compliance, and reliability evaluated across providers.
• Model & API Due Diligence — Review of external models, APIs, and technical dependencies.
• Data Processor Assessment — How vendors collect, process, and protect AI-related data.
• Security & Privacy Review — Vendor controls for data protection, access, and infrastructure.
• Compliance Assessment — Vendor alignment with applicable regulatory requirements.
• Contract & Control Requirements — AI-specific security and governance expectations, defined clearly.
• Ongoing Vendor Monitoring — Tracking changes, incidents, and performance over time.

What You Get

• A third-party AI risk framework
• Vendor assessment criteria
• A vendor due diligence process
• A model and API risk assessment
• Security and privacy findings
• AI-specific vendor control requirements
• An ongoing monitoring framework
• A vendor risk remediation roadmap

Outcomes

Better Visibility

Understand the risk profile of every AI provider and technology you depend on.

Reduced Third-Party Risk

Security, privacy, and ethical concerns caught before they create real exposure.

Smarter Vendor Decisions

Compare providers on consistent, AI-specific criteria.

Stronger Ongoing Governance

Third-party risk stays visible throughout the vendor relationship, not just at signing.

Govern the AI You Build and the AI You Buy

Third-party AI accelerates innovation, but it also expands your risk surface. Build a vendor governance approach that gives you real visibility and control over every external AI dependency.