Active Directory Identity Risk Scoring for Misconfiguration Exposure
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Solution Overview
Problem
Organization networks are often misconfigured or configured with bad practices, making identities, domains, and trusts vulnerable to takeover by attackers and susceptible to malicious use due to their complexity.
Innovation Solution
A method for determining security risks in an organization network by scanning an active directory, extracting identity attributes, analyzing risks, and assigning scores to identities based on identified vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organization networks are configured with complex security policies and structures, then security coverage and control capabilities are improved, but configuration errors and vulnerabilities increase due to complexity
Solution Approach 1:
The system performs self-diagnosis by automatically scanning Active Directory configurations, extracting attributes, and identifying vulnerabilities without requiring external security audits. The automated risk scoring and reporting enable the organization to self-assess and self-correct security configurations.
Solution Approach 2:
The system provides continuous feedback through risk scoring (0-10 scale) and detailed vulnerability reports that highlight specific misconfigurations. This feedback loop enables security teams to prioritize remediation efforts based on risk severity and verify the effectiveness of security improvements over time.
2Measurement precision
If comprehensive security scanning and analysis are performed on all identities, then vulnerability detection capability is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies different analysis depths and risk scoring weights to different identity types and configurations. High-risk identities (e.g., domain administrators, service accounts) receive more intensive analysis, while lower-risk identities receive standard scanning, optimizing the balance between detection accuracy and processing time.
Solution Approach 2:
The system dynamically adjusts scanning parameters and risk thresholds based on organizational context. The risk score calculation incorporates multiple attributes (account age, privilege level, password strength, MFA status) with varying weights, allowing flexible tuning of detection sensitivity versus processing overhead.
Data Source
AI summary
A method for determining risks associated with an identity in an organization network, including scanning an active directory for a network including a plurality of identities, to extract a plurality of attributes of the identities and their corresponding values. analyzing the extracted attribute values for an identity in the network to identify one or more risks associated with that identity, which an attacker can exploit, assigning a score to each risk identified by said analyzing, and further assigning a score to the identity based on the scores of the one or more risks associated with the identity.