Third-party risk, compliance frameworks, audit evidence, and control ownership on a single data model — with AI built into the workflows themselves, aware of your data and the page you're on. One unified view of risk that siloed tools can't match.
Every module shares the same schema and audit trail, so findings, controls, and evidence flow across them automatically — no CSV stitching. Open any module to see how it works.
Manage vendor assessments, lifecycle reviews, security findings, and risk decisions in one governed workflow.
Learn moreTrack vendor security posture, identify risk drivers, and connect rating changes to assessments and remediation activity.
Learn moreMonitor exposed assets, vulnerabilities, and external risk signals to understand where vendors may create security exposure.
Learn moreUse context-aware AI to analyze your organization's data across vendors, risks, controls, assessments, and evidence — directly from the workflow you are viewing.
Learn moreMap frameworks, assign control ownership, track evidence, and maintain audit-ready compliance activity across the organization.
Learn moreGive executives, risk teams, compliance owners, and auditors role-specific views of the data that matters most.
Learn moreConnect external systems through signed webhooks and structured data flows that support secure automation.
Learn moreGenerate executive reporting and audit-ready evidence packages with a traceable history of supporting activity.
Learn moreCentralize risk tracking, scoring, ownership, treatment decisions, and AI-assisted insights in one controlled register.
Learn moreContext-aware AI, organization-level data protection, a tamper-resistant audit trail, and controlled auditor access — the fundamentals are engineered into the platform itself.
The AI assistant understands the user's current page, workflow, and organization context. It can analyze platform data across vendors, risks, controls, evidence, and assessments to surface issues, answer questions, and guide the next step.
Each customer organization's data is isolated at the database layer with row-level security. This strengthens separation across customers and helps prevent application errors or misconfigured queries from exposing data across organization boundaries.
Critical activity is captured in append-only audit logs enforced below the application layer. This preserves traceability, protects audit integrity, and ensures key actions remain reviewable over time.
External auditors can be granted secure, limited access to the evidence and records they need. Access can be revoked when no longer required, and every auditor action is logged for accountability.
VeriGRC is a governance, risk, and compliance platform that connects third-party risk, vendor security ratings, external attack surface management, compliance workflows, audit evidence, and risk tracking on one data model. Each action is recorded in an audit trail so teams can see the work, evidence, and decisions behind every record.
VeriGRC includes connected modules for Third-Party Risk Management — with VeriSAQ vendor security assessments — plus Vendor Security Ratings, External Attack Surface Management, AI Assistant, Compliance & Control Hub, Role-Based Dashboards, Secure Integrations, Audit & Reporting, and Risk Register. These modules share context, so findings, controls, evidence, and risk decisions stay connected across the platform.
Spreadsheets and point tools often separate vendor risk, compliance work, evidence, and reporting into disconnected silos. VeriGRC keeps these workflows on one governed data model, helping teams reduce manual reconciliation, preserve context, and generate audit-ready outputs from connected records.
Yes. VeriGRC supports framework-based compliance workflows, including NIST CSF 2.0, ISO/IEC 27001, SOC 2, and PCI DSS. Teams can map controls, assign ownership, track progress, attach evidence, and maintain visibility into compliance activity across standards.
The AI Assistant is built into the platform experience, not added as a separate chatbot. It understands the user's current page, workflow, and organization context, and can analyze data across vendors, risks, controls, assessments, and evidence to answer questions, surface issues, and guide next steps.
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