Automatically scans your codebase for vulnerabilities and applies AI-generated security patches before they reach production.
Added Dec 3, 2025
High opportunity (76%)
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AI coding assistants accelerate development but produce insecure, buggy code. Developers waste countless hours on manual security reviews, bug fixes, and tech debt management. Solo developers and small teams especially lack resources for thorough security audits, letting critical vulnerabilities slip into production.
An AI-powered SaaS? platform that continuously scans repositories for security vulnerabilities, bugs, and tech debt. It automatically generates tested patches and applies them with developer approval, integrating directly into CI/CD pipelines to catch and fix issues pre-production without slowing development velocity.
AI code generation tools like GitHub Copilot are exploding in adoption, but security tooling hasn't kept pace. Recent high-profile supply chain attacks have made pre-production security automation critical for development teams of all sizes.
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Architect and build AI-powered security applications and tooling — Design and implement LLM-based systems (leveraging Bedrock, SageMaker, and RAG patterns) for intelligent code scanning, severity assessments, and remediation alternatives. Transform manual processes – Reimagine and deliver change from low throughput, human-dependent processes into high volume, machine speed pipelines without sacrificing key quality metrics.
Administer and improve Agora's security tooling, including AI-assisted security tools, SAST, DAST, software composition analysis, container and infrastructure-as-code scanning, CSPM, security monitoring, and related capabilities. Integrate security controls into developer workflows and CI/CD pipelines; tune rules, reduce noise, improve coverage, and ensure findings lead to action.
You will build and operate the security systems that let Parallel ship quickly without creating avoidable risk. You will work across application security, secure defaults, AI-assisted security tooling, and the unique attack surface of agentic systems that consume untrusted web content. You will fix real vulnerabilities when they appear, then change the underlying systems so the same class of issue is harder to introduce again.
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