Spark AI in LogicGate’s Risk Cloud cuts the time spent on day-to-day GRC tasks like control mapping, evidence reviews, and manual data entry by more than half.
This guide gives you everything you need to confidently advocate for enabling Spark AI inside your organization: the business case, data-governance details, and examples of how other customers have successfully gained approval.
Built for Governance from the Start
Spark AI was designed for regulated industries that cannot compromise on data control or compliance. Every feature is opt-in, transparent, and auditable.
Key governance principles
Optional at every level: Spark AI is fully customer-controlled. Administrators decide which capabilities to keep active and can enable or disable them at any time. Certain Spark AI features include additional configuration options that let you control where they appear in your applications and which data fields are processed by AI.
Data privacy by design: Only specific fields are processed; never more than is needed. No customer data is used to train models.
Auditability: AI actions and configurations are logged within Risk Cloud.
Customer control: You may use LogicGate’s managed OpenAI key or your own API key for complete ownership of your data.
Aligned with enterprise compliance: OpenAI data retained for 30 days only and covered by OpenAI’s privacy commitments.
These safeguards mean you can meet governance expectations without sacrificing innovation.
How Spark AI Handles Your Data
| Topic | What Happens |
|---|---|
| Processing | Text entered in Spark AI fields is securely sent to OpenAI via encrypted API calls. |
| Storage | For LogicGate-managed keys, OpenAI retains requests/responses for 30 days only, solely for abuse monitoring. |
| Training | Data is not used to train any OpenAI models. |
| Visibility | Admins can see which features are enabled and can disable them instantly. |
| Subprocessors | Listed in the LogicGate Trust Center. |
How Other Customers Got It Approved
Fortune 100 Retail Customer: Approval granted after confirming the optional API key path satisfied internal requirements.
Technology Customer: Enabled Record Linking Recommendations and Text Assistant following a review of Spark AI's capabilities with their AI governance committee and making a business case for how Spark AI would allow them to map controls 5x faster.
The Business Case
Enabling Spark AI is both secure and is measurable productivity win.
5x faster and more accurate control mapping through Spark AI Record Linking Recommendations
10x faster form completion with Spark AI Text Assistant and Autofill
Fewer repetitive tasks for risk and controls owners
Get Started
When your team is ready, an administrator can enable Spark AI in Admin > Integrations > Spark AI. Each capability can then be configured individually. Learn more here.