AI Cyber Readiness Platform for Real-Time Incident Simulation
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Solution Overview
Problem
Current tabletop exercises fail to simulate actual incidents and often use disparate resources that may not be available during a crisis, posing access problems and making it challenging to incorporate feedback into incident response plans.
Innovation Solution
A single out-of-band platform is provided for hosting and collaborating on incident response plans, allowing users to run simulations in real-time and refine their plans based on captured inputs and outcomes, with dynamic permission management and AI-driven feedback loops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional tabletop exercises are used, then basic incident response planning can be conducted, but they fail to simulate actual incidents and use disparate resources that may not be available during a crisis
Solution Approach 1:
The patent merges multiple disparate resources (communication tools, collaboration platforms, incident response systems) into a single unified out-of-band platform. This integration ensures that all resources used during tabletop exercises are the same resources that will be available during actual crises, eliminating the discrepancy between training and real-world capabilities.
Solution Approach 2:
The unified platform serves multiple functions: hosting tabletop exercises, simulating actual incidents, providing real-time collaboration, enabling dynamic permission management, and facilitating feedback loops. This multi-functional approach ensures the system can handle both training scenarios and actual crisis response.
2Adaptability or versatility
If tabletop exercises use disparate resources, then flexibility in resource selection is maintained, but access problems occur during crisis when resources may not be available
Solution Approach 1:
The platform implements dynamic permission management that adapts access rights based on user roles, organizational context, and real-time needs. Permissions can be dynamically modified during both tabletop exercises and actual crises, ensuring that the right users have access to the right resources at the right time, eliminating access problems.
3Device complexity
If feedback from tabletop exercises is not incorporated, then exercise simplicity is maintained, but it becomes challenging to refine incident response plans
Solution Approach 1:
The platform embeds multi-layered feedback loops that automatically capture feedback from tabletop exercises, analyze it through AI agents, and incorporate insights into incident response plans. This continuous feedback mechanism ensures plans are continuously refined and improved based on actual exercise outcomes and organizational needs.
Solution Approach 2:
The system uses AI agents to automatically analyze feedback, generate insights, and update incident response plans without requiring manual intervention. This self-service capability simplifies the feedback integration process while maintaining high plan effectiveness through automated continuous improvement.
4Reliability
If real-time simulation is implemented, then user preparedness is enhanced, but system complexity increases
Solution Approach 1:
AI agents automatically evaluate user responses in real-time, analyze performance data, and generate feedback without requiring complex manual evaluation systems. This automation enhances user preparedness through real-time assessment while managing system complexity by using intelligent algorithms rather than complex procedural systems.
Data Source
AI summary
Systems and methods for providing continuous cybersecurity readiness are disclosed. An exemplary method begins with ingesting user data and an entity playbook. An adversary AI agent generates a cybersecurity threat scenario that is customized for the user. A digital collaboration room is established for an entity, where the entity has control to grant and modify permissions to a user and artificial intelligence (AI) agents regarding the digital collaboration room. User responses to one or more questions posed in the threat scenario are received, evaluated and analyzed by a user agent AI in real-time. The readiness of the user to respond to a cybersecurity threat and the effectiveness of the playbook are evaluated. Feedback is generated about the playbook. Finally, the playbook of the entity is updated, which includes incorporation of the generated feedback.