Design and develop scalable AI-assisted threat modeling capabilities to produce high-quality security insights and audit-ready outputs.
Create and operationalize AI-driven frameworks for threat identification, attack path analysis, and system design mapping.
Integrate threat modeling processes into CI/CD pipelines and architecture workflows to enhance security posture.
Ensure AI outputs are validated, explainable, and aligned with enterprise security standards, mitigating risks such as hallucinations and incomplete coverage.
Automate validation of cryptographic standards, key management, and lifecycle controls to detect control drift pre-deployment.
What's Needed?
Deep expertise in application and cloud security, threat modeling, and cryptography.
Strong experience in developing abuse cases and attacker mindset modeling.
Proficiency in programming languages such as Python, Go, or similar, with experience in security automation.
Experience applying AI/LLM systems to threat modeling, code analysis, or security decision support.
Ability to map threats and controls to security frameworks, control objectives, and audit requirements