We’ve developed an automated threat modeling solution using AI!
Our solution empowers your IT and development teams to threat model – with guidance from our detailed threat library and powerful AI.
How it works:
Your team feeds our automated threat modeling solution with existing technical diagrams of applications and IT systems (such as Visio, Draw io, or similar).
Using AI analysis, our automated threat modeling solution identifies your applications and IT systems' unique characteristics and individual components.
Subsequently, our automated threat modeling solution automatically assigns relevant threats based on an analysis of the characteristics and components identified earlier. The threats are assigned based on our detailed threat library and AI assignment.
Your team can verify the threats and determine which security requirements and countermeasures are required and can even use pre-defined security requirements based on industry best practices.
With existing threat modeling methods and techniques, teams have difficulty identifying relevant threats and security requirements.
Using a powerful threat library can push a team on the right path and identify relevant value-add threats.
Threat modeling can be time-consuming for two reasons:
Team members require threat modeling training, which is time-consuming.
Once trained, performing threat modeling requires time too.
Automated threat modeling limits the time needed to train a team, and limits time in performing threat modeling.
When rolled out at scale to dozens or hundreds of teams, using automated threat modeling can result in significant time savings (and thus costs), because the time spent per threat model is decreased.
Our solution allows for alignment with your company policies and standards. The advantage of this approach is that all threat modeling activities and the subsequent security requirements work align with existing requirements and existing policies.
The only thing your team needs to do is to input the existing policies and standards.
Initial responses from our partners have been extremely positive:
“Amazing time saver, we produced 25 threat models in less than a day and had teams reviewing threats and countermeasures right away”.
“We identified at least 10 new security requirements that we hadn’t considered but will do from now on. In fact, we’re updating our cloud policies as a result”.
“Our threat and security requirement dashboard is ready for consumption from day 1”.
We’ve made the following comparison highlighting the differences between manual and automated threat modeling.
Shifting to a Tech-Aligned and AI-Enabled Approach:Modern security solutions address these limitations by offering:Comprehensive Visibility: Gain a unified view across all environments, including cloud and APIs, with tech-aligned tools like Security Posture Management (SPM). This empowers informed decision-making and prioritisation of critical security needs based on a complete understanding of your attack surface.Automated Processes: Leverage AI-enabled automation to reduce human error and enable faster response to threats. Solutions like Cloud Security Posture Management (CSPM) automate routine tasks for cloud security, while Application Security Posture Management (ASPM) automates threat detection across the software development lifecycle.Proactive Approach: Move beyond reactive detection with AI-enabled threat identification integrated with threat intelligence across the entire attack surface. Adopt solutions like CSPM and ASPM that use AI to identify and address security issues and prioritise risks.Traceable Security & Compliance: Gain complete visibility and traceability through AI and industry frameworks. Use Threat Modeling Automation that leverages AI, MITRE ATT&CK framework, OWASP Top 10, and security conformity checks to map threats across your environments, including public clouds such as AWS and Azure, enabling efficient incident response and clear compliance demonstration.
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