Gain Clarity on Vendor-Driven AI Risks

Evaluate vendor AI faster and deeper, surfacing the risk signals and transparency gaps that manual reviews miss.

What Is Third-Party AI Governance?

Third-party AI governance is the process of evaluating and overseeing AI systems provided by vendors, partners, or embedded in SaaS tools. It focuses on transparency, risk signals, regulatory exposure, and ongoing accountability for AI an organization doesn’t directly build or control.

The Third-Party AI Problem

Many of the most significant AI risks come from systems organizations don’t develop themselves:
Without structured third-party AI governance, organizations inherit risk they can’t clearly see or defend.

How Trustible Helps You Govern Third-Party AI

Know What You're Actually Buying

Trustible applies standardized, expert-designed evaluations to every vendor and model, assessing transparency, governance practices, risk signals, and regulatory readiness before third-party AI is approved.

Catch What Manual Reviews Miss

Trustible uses AI-assisted analysis of vendor documentation, including privacy policies, terms of service, security materials, and trust pages, to surface gaps, ambiguities, and risk signals that spreadsheet-based reviews routinely overlook.

Evaluate Vendor AI the Same Way You Evaluate Internal AI

Trustible applies a unified risk and impact framework across internal and third-party AI, creating a shared language for evaluating risk regardless of where AI originates.

Keep Oversight Active After Approval

Trustible supports periodic reviews, reassessments, and status tracking as vendor usage expands, models change, or new obligations apply. Governance doesn’t end at onboarding.

Adapt as Vendors Evolve

Launch periodic reviews and executive visibility into vendor AI risk.

Platform Capabilities Supporting Third-Party AI Governance

Expert-Led Vendor Evaluations

Standardized reviews designed by AI governance experts to assess transparency, governance practices, and regulatory readiness.

AI-Assisted Documentation Analysis

Analyze privacy policies, terms of service, security documents, and trust pages to surface risk signals and gaps that manual review misses.

Unified Risk and Impact Assessments

Apply the same framework to third-party AI as internal systems for consistent, comparable decisions.

Lifecycle-Based Oversight

Govern third-party AI beyond onboarding with periodic reviews, reassessments, and change-triggered evaluations.

Integrated Procurement Workflows

Embed AI evaluations directly into procurement, renewal, and material change processes.

Inventory and Decision Traceability

Centralized record of vendor AI, decisions, risk status, and governance history with executive visibility.

Measurable Outcomes for Third-Party AI Governance

Organizations using Trustible make faster, more defensible vendor AI decisions, catch high-risk or opaque systems earlier, and align procurement, risk, and legal teams around consistent evaluation criteria.

Your First 90 Days of Third-Party AI Governance

30 Days

60 Days

90 Days

Day 30: Establish Vendor AI Visibility

Identify AI-enabled vendors and standardize assessment criteria.

Day 60: Embed Governance in Procurement

Trigger AI-assisted evaluations during onboarding, renewals, and changes.

Day 90: Operationalize Ongoing Oversight

Launch periodic reviews and executive visibility into vendor AI risk.

Third-Party AI Governance FAQs

Does Trustible replace traditional vendor risk management tools?
Trustible complements existing vendor risk processes by adding AI-specific evaluations, documentation analysis, and governance workflows tailored to AI risk and transparency.
Yes. Trustible supports governance of AI embedded in third-party software using expert-led evaluations and AI-assisted review of vendor documentation.
Trustible supports periodic and event-driven reviews informed by risk level, usage changes, vendor updates, and evolving regulatory expectations.
AI vendors introduce unique challenges: model behavior can change without notice, documentation standards vary widely, and regulatory expectations for AI transparency are increasing. Trustible is built to evaluate these AI-specific risks alongside traditional vendor concerns.