MAM Policy Conflict Engine for Mobile Work Planning
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Solution Overview
Problem
Mobile Application Management (MAM) policies often negatively impact end-users' work without their awareness, as administrators may not consider the effects of these policies on user work plans, leading to conflicts that affect productivity and security.
Innovation Solution
A MAM policy conflict resolution engine communicates with work planning systems to detect potential conflicts between new or modified policies and user work plans, generating alerts for both administrators and users to adjust policies or plans accordingly, ensuring compliance and minimizing disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If MAM policies are implemented to enhance security, then security of mobile devices is improved, but user productivity and work efficiency deteriorate due to restrictions on application usage and data access
Solution Approach 1:
The system implements automated feedback loops where policy changes are communicated to users, user work plans are monitored for conflicts, and alerts are generated when conflicts are detected. This feedback mechanism allows continuous adjustment of policies to balance security requirements with user productivity needs.
Solution Approach 2:
The system performs preliminary analysis of policy changes against user work plans before policies are fully enforced. By proactively identifying potential conflicts and notifying users in advance, the system prevents productivity disruptions while maintaining security compliance.
2Productivity
If MAM administrators create policies without user input, then policy implementation speed is improved, but policy accuracy and user awareness deteriorate leading to unintended negative impacts
Solution Approach 1:
The system enables users to self-serve by automatically receiving notifications about policy changes that affect their work. Users can review the impacts and adjust their work plans accordingly without requiring administrator intervention, maintaining fast policy implementation while improving accuracy through user awareness.
Solution Approach 2:
Automated feedback mechanisms notify users of policy changes and their potential impacts on work plans. This feedback loop ensures policy accuracy by making users aware of restrictions before they execute tasks, allowing them to plan work around policy requirements.
3Adaptability or versatility
If end users plan work without awareness of MAM policies, then work planning flexibility is improved, but work compliance deteriorates as users may plan tasks that violate policies
Solution Approach 1:
The system performs preliminary checks of user work plans against MAM policies before tasks are executed. By identifying potential compliance issues in advance and notifying users, the system maintains work planning flexibility while ensuring policy compliance through proactive intervention.
Solution Approach 2:
The system provides continuous feedback to users about their work plans' compliance status with MAM policies. This real-time or near-real-time feedback allows users to adjust their plans to maintain both flexibility and compliance.
Data Source
AI summary
A method includes performing operations as follows on a processor: receiving a notification from a mobile application management server in an enterprise through which mobile device usage policies for the enterprise are managed that a policy change has occurred with respect to use of mobile devices in the enterprise, communicating with a work planning system in the enterprise to determine whether the policy change adversely affects work planned by an end user, and sending an alert to the mobile application management server responsive to a determination that the policy change adversely affects the work planned by the user.