Threat modeling engine uses profiles to build contextualized attack tree and threat model.

Repo of security weakness found in threat modeling.

Developers get real-time help to understand the security issues and how to remediate them with the knowledge base (KB) embedded in the threat modeling sessions. KB is based on CWE and OWASP.

Users log into CyberSage with their Jira accounts. Seamlessly integrates security threat modeling into the development workflow.

Developers manage the life-cycle security tasks using their Jira development workflow.

Support risk-based software release management and CI/CD pipeline.

Support developers with security expertise by integrating with OpenAI ChatGPT. Need customer’s ChatGPT API account.

Prioritize remediation of security weaknesses. Risk rating considers both likelihood and impact to business.

Threat modeling engine uses risk and control facts to produce the accurate threat model. Security professionals certify these facts to be accurate so these facts are re-used in all threat modeling sessions to produce accurate results.

Repository for enterprise applications catalog along with their essential inherent risk info. Can be synchronized with the enterprise’s book of record.

Configure threat modeling profiles for applications when applications and business features change. (Configuration is done with out-of-box profiles set.)

Analyze risks to applications and their business features, establish impacts to business and impact ratings.

Graphic reports and charts for real-time security risk status and trends.