One platform. One data model.
One source of truth.
Underneath every governance, risk, and compliance capability is a single connected data model — so policies, controls, risks, findings, and remediation steps live in one continuously updated graph. That's what makes everything else actually work.
Most GRC platforms are a collection of modules. ClearGRC is one connected graph.
Every entity in the platform — every policy, control, risk, finding, and remediation step — is a node in the same graph, linked to the others that gave it context. That's why AI can explain a recommendation. That's why reporting can drill down. That's why automation works.
AI gets context, not just text
An AI recommendation isn't a guess from a chatbot — it sees the connected graph. Every suggestion has the evidence behind it, by design.
Dashboards drill all the way down
Click a number on a board chart, follow it through assessment, control, and finding, and land on the source evidence. No exports, no rebuilds.
Automation knows what's connected
When a control fails an assessment, the right issue is created, the right risk is updated, and the right owner is notified — automatically, because the graph already knew the relationships.
Traditional GRC vs ClearGRC Platform
What changes when the data model is connected — and the platform is built around it.
The five pillars underneath every module.
Workflow, configurability, security, reporting, and scale — the platform fundamentals that turn modules into an enterprise system.
Workflow & Automation
Repetitive GRC work — review cycles, approvals, escalations — runs itself once configured.
- Configurable multi-stage workflows
- Approval chains with unanimous-review option
- Escalation rules per role
- SLA tracking & breach alerts
- Scheduled reviews & reminders
- Email + SignalR real-time notifications
Configurability
Adapt the platform to how your organisation already works — without writing code.
- Custom fields per module
- Custom forms & assessment templates
- Configurable scoring matrices
- Business rules & automations
- Custom taxonomies & categories
- Organisation hierarchy per tenant
Security & Access Control
Enterprise security baked in — every action accountable, every dataset isolated.
- Granular 8-flag RBAC per module
- Azure AD B2C single sign-on
- Multi-factor authentication
- Dual-layer immutable audit trail
- Encryption in transit & at rest
- Multi-tenant data isolation
Dashboards & Reporting
Reporting reads the same connected graph — so every chart can drill to the source.
- Executive & operational dashboards
- KPI & KRI tracking with thresholds
- Risk heat maps & compliance scorecards
- Scheduled reports & alerts
- Drill-down analytics across entities
- QuestPDF / Excel export anywhere
Built for Enterprise Scale
Designed for the operating shape of large organisations — multi-business-unit, multi-region, high-volume.
- Multi-tenant Azure-hosted architecture
- Multi-business-unit & multi-region support
- Hangfire background-job processing
- Redis distributed cache
- High-availability & horizontal scalability
- License & entitlement management
AI on Connected Data
AI doesn't compete with the data model — it consumes it. Recommendations sit on top of the same graph.
- Natural language search across entities
- AI summaries with source references
- Probable risk identification from findings
- Contextual recommendations across modules
- Explainable outputs, reviewable by humans
- Powered by Azure OpenAI in your tenant
AI is more powerful when it has context. This is that context.
Most "AI in GRC" is a chatbot bolted on top of disconnected modules — answering questions from a single document at a time. ClearGRC's AI reads the entire connected graph: the policy, the controls it maps to, the risks those controls cover, the assessments against those risks, the findings, the issues, the remediation.
That's why a single AI recommendation can link a policy gap to a risk to an audit finding to a remediation task — with the evidence backing every step.
See AI capabilities- Identify probable risks from assessment findings — with justification
- Explain why a control passed or failed — not just that it did
- Surface related policies and controls when one is updated
- Generate board reports backed by live evidence — not slides
- Answer natural-language questions across the entire programme
See the connected platform in action.
Walk through how the data model, workflows, AI, and reporting work together — not as separate modules, but as one integrated system. We'll show you the platform behind the platform.
Request Demo