Digital Asset Disposition via Trigger Event Monitoring
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Solution Overview
Problem
Incapacitation events associated with social data owners pose significant challenges in managing and disposing of digital assets across various social data stores, as existing systems lack efficient mechanisms for handling trigger events such as inactivity, death, or legal incapacitation, leading to potential data security and management inefficiencies.
Innovation Solution
A digital asset management service that monitors and responds to trigger events by transmitting actions to an asset manager, allowing customization and execution of disposal operations for digital assets, including social networking, financial, and professional data, ensuring compliance with legal jurisdictions and regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual management of digital assets is used, then flexibility in handling incapacitation events is maintained, but security risks and management inefficiency increase
Solution Approach 1:
The system performs preliminary actions by pre-defining disposition actions and trigger events before incapacitation events occur. Users configure rules in advance that specify what actions should be taken (e.g., transfer assets, delete data, notify contacts) when specific trigger events are detected (e.g., death, incapacitation, account inactivity). When a trigger event occurs, the corresponding pre-configured actions are automatically executed, ensuring secure and timely handling without requiring manual intervention during critical moments.
2Productivity
If automated disposition actions are implemented, then security and efficiency are improved, but system complexity increases
Solution Approach 1:
The system segments the digital asset management process into distinct components: trigger events (conditions to monitor), disposition actions (operations to perform), and asset categories (types of digital assets). This segmentation allows users to configure specific rules for different scenarios without overwhelming complexity. The modular structure enables the system to handle multiple incapacitation events and asset types through composable, independent rule definitions, improving manageability and scalability.
3Measurement precision
If comprehensive monitoring of digital assets is performed, then trigger event detection accuracy is improved, but resource consumption increases
Solution Approach 1:
The system applies local quality by monitoring digital assets according to their specific characteristics and risk profiles. Different asset categories (e.g., financial accounts, social media profiles, cloud storage) are monitored with appropriate levels of scrutiny and methods tailored to their nature. This targeted approach ensures high detection accuracy for critical assets while avoiding unnecessary monitoring of less sensitive assets, thereby optimizing resource consumption.
Data Source
AI summary
Digital asset management with disposition actions based on trigger events are provided. A management service transmits actions to an asset manager to prompt the asset manager to customize the actions. The actions include operations to dispose of digital assets of an asset owner based on a detection of a trigger event. The management service detects a customization and/or a selection of a subset of the actions by the asset manager and monitors the digital assets to detect the trigger event. Once the management service detects the trigger event, the management service executes the subset of the actions to dispose of the digital assets.