Compliance Management
Risk Management
Third Party Risk Management
Data Privacy Management
Internal Auditing
Business Continuity Management
Continuous Control Monitoring (CCM)
Trust Center
The stack has four layers, each designed to feed the one above it and ensure Gracie and our products deliver with the necessary context for modern teams.
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An event-sourced data layer
SureCloud begins with a scalable event store that captures every change as an immutable, time-stamped event.
- When a control is added to mitigate a risk, that event is appended to the risk record.
- When that risk is later associated with a vendor managing the control, the event is appended again.
The result is an organised, relational, built-up history of everything that has happened across the platform.
In practice, a question like "which third parties were processing this regulated data when control X was last tested, and what changed in the six months before?" is one query for Gracie AI, not a day’s project.
API-first orchestration
Every action in SureCloud is API-driven whilst no-code process automation handles data capture and workflows.
Bi-directional REST integrations connect to any system in near real-time and our out-the-box library includes more than 150 pre-built connectors, with customers even able to easily build their own.
A secure, dynamic, multi-model AI layer
Gracie AI is built on four architectural parts:
- Agents give Gracie reach across SureCloud products, workflows, and records to perform fully autonomous tasks in the background, with humans there to validate at each desired stage.
- Personas define the role each agent fills: E.g Risk Manager, Control Tester, Internal Auditor. An agent acting in a Risk Manager Persona can only see and do what a Risk Owner is entitled to see and do. So instead of just asking an agent to do something, each Persona acts as a lens, providing context and insight to do the job the way a specialist would.
- Skills encode 20 years of SureCloud GRC expertise, and each customer's own way of working, into reusable, governed activity templates. Skills are markdown-based and built no-code. A Skill can call another Skill.
E.g A ‘Custom GDPR guidance’ Skill to provide specific criteria tailored to your organization's policies or an ‘Audit findings’ Skill to format raw observations into severity and impact. - A dynamic Gracie interface that provides support on active tasks that agents aren’t doing in the background. E.g Updating a specific set of records, creating a reactive report, gathering breaking insights.
Underneath, our AI runs on Amazon Bedrock with dynamic model selection routed by activity complexity: E.g lightweight models for record creation, premium reasoning models for multi-framework gap analysis. All tasks are region-locked and no customer data is used for training or sent back to the model provider. Every request is routed through MCP first, so the model receives only the relevant, structured, tenant-scoped context it needs to give a precise answer.
A product layer enriched with 20 years of GRC expertise
SureCloud provides a series of pre-built GRC products across Risk, Compliance, TPRM, Business Continuity & Resilience, Internal Audit, Privacy, Continuous Controls Monitoring (CCM). But users can engage with our no-code model to customize these or even create their own Custom applications.
This is the layer most buyers see first. It is also the layer that benefits most from the three underneath it, because every solution shares the same event-sourced data model, the same API surface, and the same Gracie capabilities.
