Cloud Vulnerability Remediation Using Risk-Scored Security Posture
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Solution Overview
Problem
Traditional security approaches and siloed on-premises security solutions are inadequate for securing cloud-native applications, generating excessive alerts and failing to provide reliable protection for mission-critical infrastructure, and do not effectively integrate continuous automated risk assessment and security into cloud environments.
Innovation Solution
A cloud-based system that provides integrated security as a service, offering inline monitoring, zero-trust architecture, and multi-tenant security solutions to identify security risks, calculate risk scores, and recommend remediations based on scoring algorithms, while displaying remediation strategies through a GUI.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security approaches and siloed on-premises security solutions are used, then security coverage is provided, but excessive alerts are generated and reliability is insufficient
Solution Approach 1:
The patent combines multiple security functions (vulnerability management, threat detection, risk assessment, and remediation) into a single cloud-based security platform. This integration eliminates the siloed nature of traditional security solutions, reducing alert fatigue by consolidating security operations and providing a unified view of security risks across the cloud environment.
Solution Approach 2:
The system implements continuous automated risk assessment and feedback loops that monitor cloud environments, identify vulnerabilities, calculate risk scores, and provide remediation recommendations. This feedback mechanism reduces excessive alerts by focusing on prioritized, actionable risks rather than generating noise from multiple disconnected security tools.
2Extent of automation
If traditional on-premises security solutions are used, then some security functions are provided, but they fail to integrate continuous automated risk assessment into cloud environments
Solution Approach 1:
The patent replaces traditional mechanical on-premises security infrastructure with a cloud-based automated security platform. This substitution enables continuous automated risk assessment, threat detection, and remediation capabilities that are natively adapted to cloud environments, eliminating the need for physical security appliances and manual security operations.
Solution Approach 2:
The cloud-based security platform provides universal functionality across multiple cloud service providers and environments. It delivers continuous automated risk assessment, vulnerability management, and remediation capabilities that adapt to various cloud architectures (IaaS, PaaS, SaaS) and microservices environments, making it versatile across different cloud platforms.
3Measurement precision
If comprehensive security scanning is performed, then security risks are identified, but system complexity and resource requirements increase
Solution Approach 1:
The system changes the parameters of security assessment by using risk scoring methodologies that evaluate vulnerabilities based on multiple factors (severity, exploitability, business impact). This parameter-based approach maintains high measurement precision in risk identification while simplifying the presentation of results through prioritized risk scores rather than raw vulnerability data.
Solution Approach 2:
The patent extracts and separates the complex security analysis functions from the user interface. The cloud-based platform performs comprehensive security scanning and complex risk assessment in the background, then presents simplified risk scores and remediation recommendations to users. This extraction maintains measurement precision while reducing perceived system complexity for end users.
Data Source
AI summary
Systems and methods for providing efficient remediations for cloud environment vulnerabilities. The present systems and methods are configured to calculate the most efficient remediations to reduce cloud environments' risks, calculate a cloud environment's biggest risks and weaknesses, and provide a holistic overview of a cloud environment across different service providers. In an embodiment, steps include scanning a cloud environment for posture control data; identifying a plurality of security risk events based on the scanning; calculating a risk score for each of the plurality of security risk events; and determining and recommending one or more remediations based on the risk score of each of the plurality of security risk events and how efficient each remediation is.