A SaaS tool that automates AI-assisted threat modeling, CI/CD security reviews, and threat intelligence correlation for engineering teams.
Added Jun 12, 2026
Last signal 5h ago
Security teams are being asked to secure fast-moving CI/CD pipelines, AI-assisted engineering workflows, and increasingly fragmented threat intelligence sources. The job signals point to a recurring need to turn vulnerability feeds, indicators of compromise, and threat modeling outputs into actionable guidance for both security teams and developers.
The product would ingest CI/CD metadata, vulnerability feeds, security tool findings, and threat intelligence indicators, then correlate them into prioritized risks and developer-ready remediation actions. It would provide AI-enabled security reviews and threat modeling workflows directly tied to code changes, pipelines, and detection playbooks.
Companies are explicitly hiring for AI-enabled security reviews, agentic engineering workflow security, and scalable analysis pipelines. As AI-assisted development enters production engineering, security review and threat intelligence workflows need more automation and tighter integration into CI/CD.
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Develop threat models and security controls that influence architecture and engineering decisions. Build security into CI/CD pipelines through automation, policy-as-code, and DevSecOps practices.
Lead architecture reviews, threat modeling, code reviews, and penetration testing for high-risk applications and services Design and build AI agents throughout the SDLC for automated threat modeling during design, AI-driven secure code generation and review, and reducing AppSec toil
Stand up the daily security-health and vulnerability-management metrics dashboards leadership uses to run the business, and drive monthly vulnerability reporting. Build security workflows that run on AI plugins by default, so coverage checks and evidence collection happen automatically instead of by hand.
You will define and drive our approach to secure development: setting threat modeling strategy, owning security architecture and secure code reviews, and designing the controls that live inside our SDLC. Just as importantly, you will use automation and AI to scale that work, turning security from a manual checkpoint into something engineers experience as fast, clear, and genuinely useful.
* Integrate, operate, and scale SAST and SCA tools within CI/CD pipelines to enable automated vulnerability detection and compliance. * Embed shift-left security practices across build, test, and deployment pipelines.
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