Continuous Security Posture Validation Using Specialized Bots
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Solution Overview
Problem
The complexity of modern computer systems and dynamic changes introduce vulnerabilities that are difficult to assess and manage, leading to inefficiencies and errors in security posture validation, which is crucial for compliance with regulatory frameworks like NIST 800-53.
Innovation Solution
An intelligent bot framework with multiple bots trained for specific tasks automates security posture validation, selecting and implementing controls, and continuously monitors systems to ensure compliance, using data from various sources like log, AD, and machine data to generate a security posture assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated intelligent bots are deployed for security posture validation, then productivity and measurement precision are improved, but device complexity increases
Solution Approach 1:
The automation framework is divided into multiple specialized intelligent bots, each trained to perform specific security validation tasks. This segmentation allows the system to handle complex security posture validation through coordinated simple agents, improving productivity while managing complexity through modular design.
Solution Approach 2:
The patent introduces an automation framework as an intermediary layer between security assessment requirements and actual validation execution. This framework translates complex security requirements into automated bot actions, resolving the contradiction by providing a mediating structure that manages complexity while enabling high-productivity automated validation.
2Reliability
If continuous monitoring is implemented to detect dynamic vulnerabilities, then reliability is improved, but use of energy and loss of time increase
Solution Approach 1:
The intelligent bots perform security validation through periodic automated assessments rather than continuous monitoring. This periodic action maintains reliable security posture detection while reducing computational energy consumption by validating security controls at structured intervals triggered by system events or scheduled times.
Solution Approach 2:
The automation framework enables self-service security validation where the system automatically assesses and validates its own security posture without requiring continuous external computational resources. The intelligent bots autonomously execute validation tasks, reducing overall energy consumption while maintaining reliable security monitoring.
3Reliability
If comprehensive security controls are implemented to address all vulnerabilities, then reliability is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The intelligent bots automatically select, configure, and implement appropriate security controls based on assessed vulnerabilities, eliminating the need for manual control implementation. This self-service approach maintains comprehensive security protection while dramatically improving ease of operation by removing complex manual configuration requirements.
Solution Approach 2:
The system dynamically adjusts security control parameters based on real-time vulnerability assessment results. Rather than implementing all possible controls statically, the intelligent bots modify security parameters adaptively, maintaining high reliability while simplifying operation by applying only the necessary controls with optimized parameters.
Data Source
AI summary
A system may select, based on execution of one or more automated selection bots, a plurality of controls from among a plurality of families of controls, each family of controls having respective controls, wherein a control from among the plurality of controls specifies protection against one or more security threats. The system may perform, based on execution of one or more automated control implementation bots, a validation operation for each control from among the selected plurality of controls to implement each control. The system may include aggregate, based on execution of the one or more automated control implementation bots, a report package based on the implemented plurality of controls. The system may generate a security posture assessment based on the report package. The system may monitor, based on execution of one or more automated monitoring bots, performance of the evaluated system based on the implemented plurality of controls.