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    Firewall Posture Analysis

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    Sold by: Rigor AI 
    Gartner estimates that 99% of all firewall breaches arise from misconfigurations. Rigor is building a pioneering cyber defense management platform, RigorOS, with a suite of operational, security, and compliance use cases. Our foundational use case, Formally Verified Policy Analysis, leverages formal mathematical models of your NGFW configurations to provide control gap findings and produce immediately actionable insights to assure your security posture against human error. F

    Overview

    RigorOS’s foundational use case, Formally Verified Policy Analysis, models firewall configurations exhaustively and identifies security gaps for posture hardening, conflicting rules, and optimization opportunities through redundancy elimination and rule consolidation. This foundational use case is already operational with and has been deeply impactful for paying customers across industries and sectors: financial services, critical infrastructure, state and local government, technology, and education. Our deep formal models provide a level of granular visibility into every defensive configuration that no other approach in industry can match. Through this, the platform automatically provides extremely detailed and specific types of findings to provide exhaustive coverage of all the customers' security posture. These findings can be used for policy reduction, hardening, and conflict resolution.

    Highlights

    • Mathematical Model of Computation: Models your firewall configuration exhaustively, identifies security gaps for: posture hardening, conflicting rules and optimization opportunities through redundancy elimination and rule consolidation.
    • Deep Fine-Grained Analysis: Resolves static objects, dynamic operational state including external objects/lists, users/groups, FQDNs, regular expressions, etc.
    • Findings and Remediation Workflows: Performs syntactic, semantic, behavioral, formal, NLP, and AI based analysis of NGFWs and provides a semantic chain of evidence without false positives and false negatives.

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    Deployed on AWS
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    Support Details: sales-ext@rigor.ai 

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