Branching Security Analysis for Real-Time Vulnerability Remediation
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Solution Overview
Problem
Conventional cyberattack solutions are high-cost, complex, and provide historical, not real-time information, failing to address the growing frequency and complexity of cyberattacks, and are limited to reviewing software vulnerabilities, leaving organizations unprepared to defend their environments.
Innovation Solution
A comprehensive, integrated platform utilizing infinitely branching automation to identify and remediate security vulnerabilities in real-time, covering core pillars of the cybersecurity Risk Management Framework (RMF), including Software Vulnerabilities, Security Controls, Asset Lifecycle, and Operational Process, with a security module that dynamically adjusts to understand use-case scenarios and applies corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security solutions are used, then security vulnerability review is provided, but real-time information and adaptive response are not achieved
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple logic flows and decision trees that automatically execute when security events are detected. These pre-established analysis paths enable immediate response without waiting for manual assessment, thus reducing response time while maintaining reliable security detection.
Solution Approach 2:
The system implements continuous feedback loops where security module outputs are fed back into the logic flows for ongoing analysis. This real-time feedback mechanism allows the system to continuously monitor and respond to security threats, providing both timely detection and sustained reliability in security defense.
2Measurement precision
If conventional security tools are deployed, then vulnerability assessment is performed, but system complexity and cost increase
Solution Approach 1:
The security system is segmented into distinct functional components: a security module for data collection, multiple specialized logic flows for different analysis dimensions, and a decision engine for final determination. This segmentation allows each component to focus on specific tasks, improving detection accuracy through specialized analysis while managing overall system complexity through modular architecture.
Solution Approach 2:
The logic flows are designed with multi-functionality to handle various security assessment tasks using a unified framework. The same logic flow structure can analyze different types of security data and apply multiple assessment criteria, reducing the need for separate specialized tools and thereby decreasing overall system complexity while maintaining comprehensive detection capabilities.
3Loss of information
If historical security data is analyzed, then past vulnerabilities are identified, but real-time security posture is not visible
Solution Approach 1:
The security module continuously collects data from assets and the logic flows continuously analyze security posture in real-time. This continuous operation ensures that both historical trends and current security states are captured, providing complete security information without time delays. The uninterrupted analysis maintains up-to-date security visibility while preserving historical context.
4Measurement precision
If manual security review processes are used, then detailed analysis is possible, but productivity and scalability are limited
Solution Approach 1:
The system performs self-service through automated logic flows that independently execute security analysis without manual intervention. The decision engine automatically processes security data, evaluates multiple criteria, and generates security posture determinations. This automation maintains deep analysis capability through comprehensive logic flow evaluation while dramatically increasing assessment throughput and enabling scalable deployment across numerous assets.
Data Source
AI summary
Systems for identifying vulnerabilities in an environment are provided, The system includes a security module that receives information from one or more assets in a target environment, wherein the security module has a underlying knowledge of details associated with each of the one or more assets; evaluates the received information from each of the one or more assets to identify any security vulnerabilities; applies one or more rules to received information provided by assets having identified security issues, wherein the one or more rules trigger a plurality of logic flows that analyze the received information provided by assets having identified security issues, the logic flows configured to infinitely branch during analysis of the received information until a decision is determined for each of the assets having identified security issues; and generates a remedial process to address the identified security issues based on the determined decision for each of the assets.