Automated Threat Modeling for Network Services
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Solution Overview
Problem
Network-based services face challenges in maintaining accurate and up-to-date threat models due to their complexity and frequent changes, leading to exposure to security threats like side-channel attacks and SQL injection attacks, as manual text-based threat models become outdated and difficult to monitor.
Innovation Solution
An automated system-security service generates and continuously updates machine-readable threat models by scanning network-based services, identifying changes, and detecting violations of system-level security constraints, enabling automatic notification and mitigation of security threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual text-based threat models are used, then ease of operation is improved, but measurement precision and reliability deteriorate due to outdated information and difficulty in monitoring
Solution Approach 1:
The patent replaces manual text-based threat modeling with an automated machine-readable threat modeling system. The system automatically generates and updates threat models by scanning network-based services, detecting changes, and identifying security threats without requiring manual intervention. This substitution of mechanical manual processes with automated computational processes resolves the contradiction by maintaining ease of operation through automation while significantly improving measurement precision through continuous, accurate monitoring.
Solution Approach 2:
The system performs self-service by automatically scanning network-based services, detecting changes, updating threat models, and identifying security threats without requiring manual security analysis. The automated system serves itself by continuously monitoring and maintaining accurate threat models, eliminating the need for manual updates while ensuring high accuracy and reliability in threat detection.
2Adaptability or versatility
If frequent changes are made to network-based services, then adaptability is improved, but reliability deteriorates due to increased security threats and difficulty in maintaining accurate threat models
Solution Approach 1:
The system implements continuous feedback by automatically scanning network-based services, detecting changes, updating threat models, and identifying security threats in real-time. This feedback loop ensures that threat models remain accurate and up-to-date despite frequent service changes, maintaining security reliability while allowing high adaptability. The system continuously adapts to service modifications and provides immediate security assessments.
Solution Approach 2:
The automated system provides continuous monitoring and updating of threat models without interruption. The continuous scanning and analysis process ensures that security threats are identified immediately upon service changes, maintaining reliable security posture even during periods of frequent adaptation and modification.
3Measurement precision
If automated machine-readable threat models are implemented, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single automated scanning mechanism to perform multiple tasks: detecting changes in network-based services, updating threat models, identifying security threats, and providing continuous monitoring. This universal approach consolidates multiple security functions into one system, improving measurement precision while managing complexity through functional integration rather than multiple separate systems.
Data Source
AI summary
This disclosure describes techniques for automating a system-level security review of a network-based service. The techniques may include generating and utilizing a machine-readable threat model to identify system-level security threats to the network-based service. The network-based service may be scanned upon being provisioned in a service-provider network, and the machine-readable threat model may be generated based on results of the scan. The machine-readable threat model may represent components of the network-based service, system-level security constraints configured to identify system-level security threats to the service, and mitigations to remedy violations to the system-level security constraints. The network-based service may be continuously, or periodically, scanned to identify changes in the network-based service. The techniques further include updating the machine-readable threat model to account for the detected changes to the network-based service, and analyzing the updated machine-readable threat model to determine whether the changes to the network-based service violate a system-level security constraint.


