ThreatModeler 7.2 bolsters threat modeling with AI-powered WingMan, CVSS scoring, and expanded cloud support for AWS and Google Cloud.
ThreatModeler, a leader in automated threat modeling and securing cloud infrastructure from design to code to the cloud, announces the release of version 7.2, an update enriching its robust suite of cybersecurity tools. This release deepens its functionality across several key areas to streamline threat modeling processes and enhance cloud security management.
The release significantly improves ThreatModeler WingMan, ThreatModeler’s Virtual Security Architect. First introduced in version 7.0, ThreatModeler WingMan offers enhanced predictive analytics capabilities, leveraging historical data from templates and threat models to suggest security enhancements. These advancements help users proactively strengthen their defenses, streamlining threat modeling and freeing time for developers and security teams to focus on strategic security analysis and process development.
Version 7.2 enhanced WingMan with a wizard-based approach to threat model creation, simplifying the process through a guided series of intuitive questions. This enhancement allows users to efficiently add components, update threats, and adjust risk and security requirement statuses, making the complex threat modeling process more accessible.
Another notable WingMan feature in this update is the ability to build threat models and prioritize findings interactively. WingMan can read transcripts of meetings or analyze Word documents describing your application’s architecture, automatically creating detailed threat models. The AI component intelligently recommends optimal compensating controls and identifies the best locations within your architecture to place them, ensuring maximum protection and efficiency.
The update also introduces a CVSS Score Calculator, providing users with a comprehensive tool to assess and prioritize potential threats based on base, temporal, and environmental scores. This feature supports more informed decision-making in vulnerability management by offering an overall CVSS score for standardized vulnerability assessment.
Expanding its cloud capabilities, ThreatModeler Version 7.2 enhances CloudModeler’s support for cloud configuration across AWS and Google Cloud platforms. The latest feature allows users to map and diagram pre-existing Google Cloud environments with a single click, track changes in the environment, and mitigate identified threats effectively. Improved functionalities for AWS include managing security settings across multiple accounts via IAM roles. This integration strengthens ThreatModeler’s ability to provide comprehensive security assessments across major cloud platforms.
Also Read: Explained: Generative Model
Further integration with widely used tools includes compatibility with Draw.io, facilitating effortless conversion of diagrams into the native ThreatModeler format. This enhances the usability of pre-existing diagrams, allowing for incorporating security controls and WingMan capabilities within the modeling process.
Archie Agarwal, CEO & Founder of ThreatModeler, added, “This latest update to ThreatModeler exemplifies our dedication to innovation and leadership in cybersecurity. By continuously enhancing our platform, we empower our clients to stay ahead of the curve in a rapidly evolving threat landscape. Version 7.2 is all about providing tools that are not only powerful but also user-friendly and effective in real-world applications.”
