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In what ultimately became the winner of the Blackbox.ai developer tools track at the Lablab.ai Hackathon at the Raise Summit, we built the Security Copilot GitHub App powered by our proprietary remediation technology. The tool enhances developer workflows by intelligently identifying and suggesting fixes for vulnerabilities in pull requests, and offering targeted training to help developers understand and avoid similar mistakes, in a seamless, impactful, and automated way.
It’s not an overstatement to say that the Security Copilot redefines developer and code security. It does so by embedding education, context, and automation directly into the PR process. It eliminates the traditional friction between speed and security, empowering developers to get their work done and keep their work secure without a tradeoff. By meeting developers where they already work, Security Copilot becomes a trusted ally that’s always there to teach and improve the security of every commit.
This shifts security left in a way that’s actually usable and valuable for developers, as opposed to simply shifting the remediation responsibility. Instead of waiting for reviews post commit or relying on scattered training sessions for education, developers get instant, actionable insights that facilitate their workflow. The AI flags issues and suggests secure code changes to maintain speed, but it also explains them, teaching developers how to fix and prevent them on their own and raising the baseline of security judgement in a way that’s measurably impactful.
- Automated Security Summaries: Each time a PR is opened, developers receive a clear, AI-generated summary of any security issues identified instantly and automatically.
- AI-Powered Review on Demand: Request a detailed analysis of any specific vulnerability, or all vulnerabilities detected in the PR, to understand what’s wrong and why it matters.
- Micro-Training at the Moment of Need: Ask the Copilot for a quick, targeted lesson on a particular vulnerability so you never make the same mistake again.
- Conversational Assistance: Developers can comment directly on the AI’s feedback to ask follow-up questions, explore alternative fixes, or dive deeper into a security concept.
- Intelligent Remediation Suggestions: Our cutting-edge AI remediation engine proposes secure code changes in-line, enabling faster resolution without breaking the flow.
- Actionable Insights Portal: Access a centralized dashboard showing scan results across repositories to prioritize issues and track security posture over time.
Our entry impressed the judges for its technical sophistication, accuracy, and real-world applicability. Winning this track demonstrates and validates the practical value of giving developers AI-powered remediation and security training within their flow, so they can commit more secure code without slowing down.
If you want to learn more about Symbiotic's AI code security tool, or want to schedule a demo, click here.
