Overview of Spark AI Record Linking Recommendations (Beta)
Spark AI Record Linking Recommendations, the newest AI addition to Risk Cloud, leverages generative AI to automatically identify and link data across key GRC elements within your Risk Cloud environment. It streamlines historically complex and labor-intensive control cross-mappings and empowers holistic GRC management by identifying relationships and linking Risks, Controls, Policies, and Incidents. This helps organizations bridge data and team silos, gain real-time risk insights, and stay compliant in a rapidly evolving regulatory landscape.
Two main use cases of Spark AI Record Linking Recommendations are:
- Control Cross-Mapping: If you're working on an internal control record and need to find related controls across different frameworks (such as SCF, NIST, SOC2), Spark AI Record Linking Recommendations will suggest relevant controls with a click.
- Holistic GRC data elements linking: You can generate recommendations across various GRC data elements. The more modules you have enabled in your Risk Cloud environment, the more diverse and extensive the recommendations will be. For example, from a Risk record, Spark AI Record Linking Recommendations will suggest Controls that mitigate the risk and by linking them you can monitor your risk posture real-time. You can also get recommendations to link Regulation Requirements with Policies that serve as evidence for a control and gain confidence in regulation compliance.
How to Enable the Record Linking Recommendations (Beta)
System Administrators can navigate to the Risk Cloud Spark AI card on the Integrations page to enable Spark AI and its features. This includes a toggle for Record Linking Recommendations BETA. You will see this toggle if your Account Team has enabled the BETA in your environment.
In the current Beta Release, you will receive recommendations for all records linked workflows across your Risk Cloud environment. This means Spark AI will access and process text, text area, and text concatenation fields from all linked records to generate recommendations.
In the future release, you will have more granular builder configurations to control specific workflows to receive linking recommendations.
As a Beta customer, you not only gain early access but have the opportunity to partner with us in shaping its future by sharing your feedback. Please fill out this Spark AI Beta Customer Interest Form if you are interested. Our Customer Success and Services Team will reach out and assist you with activation.
Using the Record Linking Recommendations
Once you enabled Spark AI Record Linking Recommendations, you can follow these steps to get started:
Step 1: Access the Recommendations Tab
- Navigate to the record where you want to generate linked record recommendations and have linked workflow set up in the step configurations.
- You will see the Recommendations (Beta) tab as an option within the linked record section. Click on this tab to access the recommendations feature.
Step 2: Generate Recommendations
- On the Recommendations (Beta) tab, click the Generate Recommendations button. Spark AI will automatically provide top suggestions based on your current record within seconds.
Step 3: Link Records and Regenerate Recommendations
- After reviewing the automated recommendations, you can link any records by licking "Link" button. Then you will see this record in the "View linked records" tab.
- You can always refresh the record page to re-generate top recommendations at any time.
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