A DevSecOps platform that continuously finds, prioritizes, and automates remediation workflows for security vulnerabilities across code and infrastructure.
Added May 28, 2026
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High opportunity
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Security teams are repeatedly asked to identify exploitable vulnerabilities, track recurring risks, and turn assessments into mitigation plans. The signals point to a workflow gap between scanning, prioritization, follow-up, and actual remediation, especially across codebases, infrastructure, and system lifecycles.
The product would combine AI-assisted vulnerability scanning, penetration-test findings intake, risk scoring, and remediation orchestration in one workflow. It would automatically log vulnerabilities, detect recurring patterns, generate mitigation plans, assign owners, and trigger scripted fixes or ticket-based follow-up where automation is unsafe.
Companies are explicitly hiring for AI-assisted vulnerability scanning, automated security monitoring, and continuous risk mitigation. Security teams want to find weaknesses before attackers do while reducing manual triage and remediation overhead.
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Design, develop, test and ship high-quality technical solutions that scale across multiple GitHub services. Build the platform that collects security findings from container image, cloud, host, and code scanning, matches each finding to the team that owns it, and tracks remediation through risk scoring, SLAs, and exceptions.
Vulnerability management - AI driven detection, triage and workflow management of vulnerabilities from code to components to applications to infrastructure Launch readiness - shifting security analysis left to proactively address security needs as far upstream from product launch as possible
Triage and prioritize findings by risk and attack path; drive remediation with application and platform teams, and track SLAs and risk reduction metrics. Integrate security into CI/CD pipelines: IaC scanning (Terraform, CloudFormation, ARM), SAST/SCA, secrets detection, and container image scanning.
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