Coverbase & Crowe team up on AI vendor risk checks

Coverbase has agreed a strategic collaboration with Crowe, with a focus on third-party risk management work that includes vendor security reviews and procurement processes.

The two organisations said they have worked together on programmes in financial services, banking, insurance and healthcare. The expanded relationship adds Coverbase's software into Crowe engagements where clients review and monitor third parties.

Vendor risk

Companies have increased their use of external suppliers and service providers across IT, business operations and customer-facing systems. This trend has pushed third-party risk management into a more central role for security, compliance, procurement and internal audit teams.

Both firms framed artificial intelligence as a factor that changes the risk profile of supplier ecosystems. They also framed AI as a potential method for handling the volume of assessments and evidence reviews that large organisations face.

Crowe said its third-party risk management specialists will incorporate Coverbase's assessment and monitoring tools into advisory and implementation engagements. The firms positioned the approach as an alternative to manual work and large-scale system replacements.

Coverbase described its product as an AI-first platform for risk-aware procurement and third-party security reviews. The company said its software covers third-party assessments, continuous monitoring, contract intelligence and lifecycle governance.

How it works

The companies described the collaboration as an overlay to existing third-party risk management systems. They said Coverbase can operate alongside established platforms. They cited automation features, decision workflows and faster review cycles.

They also placed emphasis on human review in the workflow. Coverbase said its product design assumes AI models make mistakes and requires confirmation at each step. The firms linked that approach to auditability and defensibility in regulated environments.

The statement also highlighted a model configuration approach aimed at risk functions rather than engineering teams. The companies said non-technical users can train, calibrate and refine decision models without writing code.

Regulated sectors

The two firms said their joint work has already included highly regulated industries. Those sectors typically face requirements for vendor due diligence, ongoing monitoring, evidence collection and documentation. They also face scrutiny around how decisions get made, especially where automation affects risk outcomes.

In that context, Coverbase and Crowe placed weight on transparency and governance in the use of AI for third-party risk management. They positioned accountability as a central requirement for adoption in the sectors where both firms operate.

"Many enterprises are tired of throwing more headcount, spreadsheets, or system migrations to manage vendor risk. They want meaningful results without adding operational burden," said Clarence Chio, CEO and Co-founder, Coverbase.

Chio linked the collaboration to deployments in environments with higher compliance expectations. "Working closely with Crowe allows us to bring practical, human-validated AI into some of the most sophisticated, highly regulated programs in the world," said Chio.

One of the stated themes in the collaboration is the role of AI in judgement and decision-making. Crowe framed that issue as a precondition for wider use of automation in third-party risk processes.

"AI has enormous potential in third-party risk management, but only when it is applied in a way that is transparent, governed and defensible," said Brad Gilliat, Principal and leader of Crowe's TPRM practice, Crowe.

Gilliat described a model where AI does not replace decision-makers. "This initiative with Coverbase allows us to help clients adopt human-centered AI that enhances judgment rather than replacing it, especially in highly regulated environments where accountability matters," said Gilliat.

Coverbase said the collaboration centres on responsible and sustainable adoption of AI in complex risk programmes. It said the product approach includes human confirmation of AI outputs and configuration by non-technical risk teams.

"Our collaboration centers on impact," said Chio. "Crowe's clients are leaders in critical industries - they need efficiency, they need rigor, and they need AI that they can govern. Together, we are raising the standard of what third-party risk management should look like," said Chio.

The companies said Crowe teams will use Coverbase in advisory and implementation work, with a focus on due diligence, evidence validation and ongoing monitoring across third-party relationships.