Trust Chain TPRM: Transform Vendor Compliance Evidence into Verified Assurance
Trust Chain, an AI-driven third-party risk management (TPRM) platform, redefines vendor compliance by prioritizing verified evidence over self-reported data.
Trust Chain’s Approach to Vendor Compliance
Trust Chain, developed by Strike Graph, transforms vendor compliance evidence into verified assurance by mandating tangible documentation. Unlike traditional methods that rely on self-reported questionnaires, the platform requires vendors to submit compliance materials, which are analyzed using Verify AI technology. This ensures alignment with the requesting organization’s specific criteria, delivering verified compliance faster and at lower costs.
Integration with Strike Graph GRC Platform
The solution is embedded within the Strike Graph Governance, Risk, and Compliance (GRC) platform, consolidating vendor risk data with compliance frameworks, internal controls, and audit records. This integration eliminates the need for separate tools, streamlining risk management processes.
How Verify AI Works
Central to Trust Chain’s functionality is Verify AI, a patent-pending system that evaluates compliance evidence rather than merely collecting it. When vendors submit documents like penetration test reports or policy files, Verify AI cross-references them against the exact requirements of the requesting entity. It identifies gaps, inconsistencies, or incomplete scope, such as a penetration test covering fewer systems than mandated or a policy addressing only partial controls.
Automated Flagging and Review Process
Flagged items are automatically reviewed by compliance teams, reducing manual effort by 92%—from an industry average of over 40 hours per vendor to approximately 3.5 hours. Detailed explanations of why evidence falls short enable teams to review, annotate, and override decisions while maintaining an audit trail.
Continuous Monitoring and Real-Time Oversight
Trust Chain replaces the traditional annual assessment model with continuous monitoring. Compliance teams define evidence requirements through Evidence Request Libraries, which can be based on standard templates or customized from existing questionnaires. These requirements are applied uniformly or tailored to reflect risk levels, data access needs, or regulatory obligations.
Automated Document Management
Each requirement includes configurable expiration dates for documents like SOC 2 reports or penetration tests. As deadlines approach, Trust Chain automatically prompts vendors for resubmission without manual intervention. Real-time dashboards provide visibility into vendor compliance status, highlighting verified evidence, pending submissions, or unresolved gaps.
Benefits for Vendors
The platform simplifies compliance for vendors by replacing repetitive questionnaires with a centralized submission portal. Vendors can upload documentation such as access control policies, incident response plans, or audit reports to meet customer-specific criteria. Verify AI evaluates these submissions and shares results with the requesting organization, ensuring vendors retain control over their sensitive materials unless they choose to share them directly.
Efficiency and Response Rates
The platform’s efficiency is evident in its 84% vendor response rate, surpassing the industry average of 67%. This improvement stems from reducing the burden of outdated, repetitive questionnaires.
Industry Expert Perspectives
According to Chris Steffen, VP of Research at Enterprise Management Associates, Trust Chain’s approach fundamentally differs by validating evidence rather than accepting vendor claims.
According to Michael Rasmussen, founder of GRC 20/20 Research, AI tools focused solely on data aggregation risk creating false confidence. Verify AI addresses this gap by ensuring compliance evidence aligns with stated requirements.
Conclusion
By automating evidence validation, continuous monitoring, and streamlined vendor interactions, Trust Chain represents a critical advancement in third-party risk management. Its integration of AI-driven verification and real-time oversight positions it as a solution for organizations seeking to mitigate risks while adhering to evolving regulatory standards.
