Autonomous Bot Network for Detecting Network Control Gaps
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Solution Overview
Problem
Current methods are inefficient in identifying and addressing network control gaps in a timely and automated manner, which can compromise the security of customer-facing platforms.
Innovation Solution
Deploying a network of bots trained on various testing scenarios to test and diagnose the effectiveness of electronic controls, generate telemetry data, and enhance controls to prevent future attacks by using chatbots with middleware components to enrich data and emulate misappropriation attempts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to identify network control gaps, then thoroughness of control assessment is improved, but time consumption and operational efficiency deteriorate
Solution Approach 1:
The system employs autonomous bots that independently assess network controls without requiring manual intervention. The bots self-deploy, self-test, and self-diagnose control gaps, enabling the system to service itself and eliminating time-consuming manual assessment processes while maintaining thoroughness through comprehensive automated testing.
Solution Approach 2:
The patent replaces manual mechanical assessment processes with automated digital bots that programmatically test network controls. These bots simulate various attack scenarios and control conditions, substituting human operators with automated software entities that can continuously and rapidly assess controls without time loss.
2Productivity
If automated bots are deployed to test network controls, then identification speed and productivity are improved, but system complexity and device complexity increase
Solution Approach 1:
The assessment system is segmented into multiple independent bot instances, each specialized for testing specific control types or attack vectors. This segmentation allows parallel execution of diverse assessment tasks, improving productivity while keeping individual bot components relatively simple and modular rather than requiring a single complex monolithic system.
Solution Approach 2:
The bot framework is designed as a universal platform capable of performing multiple assessment functions through configurable test scenarios. A single bot infrastructure can test various control types (authentication, authorization, data protection) by loading different test scenarios, thereby achieving high productivity without proportionally increasing complexity through multi-functionality.
3Measurement precision
If comprehensive control testing is performed, then detection precision of control gaps is improved, but operational overhead and resource consumption increase
Solution Approach 1:
The system implements partial action by selectively testing only the specific controls and attack scenarios relevant to each organization's risk profile and infrastructure. Rather than universally testing every possible control combination, the framework allows customization to focus resources on high-risk areas, maintaining detection precision for critical controls while reducing overall resource consumption through targeted assessment.
Data Source
AI summary
Systems, computer program products, and methods are described herein for identifying network control gaps in an automated fashion. The present disclosure is configured to execute instructions to deploy one or more autonomous programs on a network infrastructure; continually monitor feedback data received from the one or more autonomous programs; based on the feedback data received from the one or more autonomous programs, determine that the one or more autonomous programs has circumvented one or more network control policies; analyze the feedback data to determine how the one or more autonomous programs has circumvented the one or more network control policies; and execute instructions to pause access to one or more systems or elevate one or more security requirements in response to determining that the one or more autonomous programs has circumvented one or more network control policies.