AI code generation with embedded security enforcement and auto-remediation
Symbiotic Security built an AI coding agent that enforces security policies during code generation rather than after—catching and auto-remediating vulnerabilities before code is returned to developers. The stack (Python, Django, TypeScript, React, PostgreSQL, AWS) combined with active work on IDE plugins, real-time flaw detection, and systems to catch GitHub Copilot-introduced vulnerabilities signals a product moving from core engine toward platform breadth. Engineering-heavy hiring (4 senior engineers, 1 product role) and scaling challenges (monolithic architecture, synthetic dataset generation) indicate they're pivoting from MVP toward production-grade coverage.
Symbiotic Security is an AI coding company focused on embedding security validation directly into the code generation workflow. The product intercepts AI-generated code, applies organizational security policies, detects flaws, remediates issues, and revalidates correctness before returning it to developers. Founded in 2024 and based in New York, the company operates as a partnership with 11–50 employees. Current project focus spans SaaS platform expansion (IDE plugins for VS Code and GitLab), real-time vulnerability detection, and systems specifically designed to mitigate risks from large language model coding assistants like GitHub Copilot. The team is actively addressing architectural scale challenges and building synthetic datasets for training.
Core stack: Python, Django, TypeScript, React, PostgreSQL, AWS. They also use Docker, Terraform, Sentry, LangChain, RAG, and integrate with GitHub Copilot and Claude for AI capabilities.
Core projects: vulnerability detection and remediation engine, AI security protections against LLM-introduced flaws, IDE plugin development (VS Code, GitLab), synthetic dataset generation, real-time flaw detection systems, and platform expansion across languages and platforms.
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