Authored by santosh.kushwah@ibm.com and imran.khan36@ibm.com ,co-authored by vinikum3@in.ibm.com, manasan1@in.ibm.com , saloni.deepak.kumar.rathi@ibm.com , abhijeet.banawane@ibm.com ,abin.gadoo@in.ibm.com and rakesh.musturi@ibm.com

AI-powered policy summary and recommendations

We are excited to introduce AI-powered policy recommendations and summaryin the product, designed to help organizations effortlessly align their mobile policies with industry best practices and regulatory standards. Leveraging advanced Large Language Model (LLM) capabilities, this feature intelligently analyzes Android and iOS policies to provide tailored recommendations based on five key compliance and management templates: STIGS compliance, HIPAA compliance, Employee-Owned Devices, Corporate-Owned Devices. Applicable to Android Enterprise Settings (under Passcode and Restrictions) and iOS Device Settings (under Passcode and Restrictions), the feature ensures that recommendations are only generated when the current policy is not aligned with the selected template. For fully compliant policies, no suggestions will be shown.

Enabling the "MaasAI" Service in MaaS360

MaaS360 provides an option to enable AI-powered policy recommendations and summary feature, follow the steps below:

1. Log in to your MaaS360 account using valid credentials.

2. Navigate to the Setup section.

3. Under Services & Settings,click on Services to open the main Services page.
4. Locate MaaS360 AI service, then click on Advance Policy Management to enable the service.
5. Check Advance Policy Management  to enable MaasAI capabilities to the product by providing confirmation with credentials.
6. After confiramtion Service will be enabled to your account to use Ai capabilities

To utilize the Maas AI Service for policy summarization and recommendations, begin by creating a new Android or iOS policy. Provide the required details such as Policy Name, Policy Type(Androidor iOS) , and Start Date. Then, select "My Existing Policies" and click Continue to proceed to the Policy View page.

As Soon as you click on continue a policy will be created  and you will be redirected to policy view page as below to see Summarize and Recommendation options available

Summarize :

Click on Summarize to generate a summary of the policy based on the existing parameter configurations. A Summarization slider will appear, displaying the configured settings along with a concise summary of the policy.

Upon clicking on a specific setting in the summary, you will be redirected to the Review slider. Here, you can view the configuration details along with a brief description of the setting. A View Parameter link is provided to navigate directly to the respective parameter, where you can enable or disable it as needed.

Recommendations :

Click on Recommendations and choose a predefined template to generate recommendations for policy settings. A summarized view of these recommendations will be displayed to help you clearly understand the proposed changes.

Click on View recommendation and it will generate the recommendation for policy params 

A recommendation summary along with recommended params will be generated on the recommendation slider.

Note : user can generate new recommendation upon selecting different template under policy tag by choosing different predefined template.

Here’s how you can review and apply AI-generated policy recommendations:

• Along with recommendation, an Action option is provided.

• Click on Action and select Review and Apply to open the policy in edit mode.

• In edit mode, you can review all the recommended settings.

• Select the recommendations that are relevant to your requirements and apply the selected recommendations directly to the policy.

once the recommendation is applied to your policy you can save it and publish your policy with those recommendations.This will help you to easily configure policy with any prior knowledge on the param /fields to be configured in policy.

The displayed recommendations can also be exported to an Excel file for further reference or use in other policies. This export helps in easily identifying which suggested settings are already configured and which are not, enabling more informed decision-making across different policy configurations.

Feedback :

We have also provided a Feedback feature to help us understand your experience. You can share your feedback by:

• Clicking on the Like or Dislike button.

• Selecting from predefined label suggestions to categorize your feedback.

• Adding optional comments to let us know how you rate the feature and suggest any improvements.

Please note, this feature is available exclusively to Non-FedRAMP customers .

for more details follow this link

https://youtu.be/eeKk57BgwEY?si=2mFLQOHNKhAFWDYS

Conclusion :

The integration of AI-generated use cases into the product marks a significant step forward in simplifying policy management for customers. By leveraging advanced AI and LLM capabilities, the system can analyze existing policy configurations and generate context-aware recommendations tailored to specific compliance or operational needs. This helps customers quickly understand whether their policies align with industry standards—such as STIGS, HIPAA, or device management best practices—without the need for deep technical expertise. As a result, customers can reduce manual effort, accelerate policy optimization, and adapt to compliance requirements more efficiently, ultimately improving overall policy governance with minimal overhead.

To further enhance user experience, a Feedback feature is included, allowing customers to provide quick input on the AI-generated recommendations. Users can express their satisfaction through Like or Dislike options, select from predefined feedback categories, and add comments. This feedback helps continuously improve the accuracy and relevance of the AI suggestions, ensuring they better meet customer expectations and needs.