Chief Scientist Emeritus Fabian Yamaguchi and foundational Code Property Graph technology recognized with IEEE Test of Time Award

Advanced AutoFix for Your Code

AI Agents Collaborating to Analyze, Patch, and Test Software

Let our AI Agents Deliver a 95% improvement in time to fix

When vulnerabilities are discovered, our AI Agents take on the heavy lifting of analyzing, fixing, and testing around the clock. The result is that security teams and developers both get what they want. Developers that can focus on what matters most, building your products. And security teams are seeing risk levels reduce.

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Quickly Clear the Backlog

AI AutoFix efficiently clears accumulated security vulnerabilities. By automating the fix process, we eliminate bottlenecks and significantly reduce risks, resulting in a more secure codebase in less time than conventional methods.

Free Your Developers

Allow your developers to concentrate on innovation. AI AutoFix integrates seamlessly into existing workflows, addressing vulnerabilities efficiently. This approach minimizes downtime and maximizes development resources.

Code Compliance Made Easy

Meeting internal and external security policies is streamlined with AI AutoFix. Our system provides automated, timely fixes that address vulnerabilities on schedule, helping you stay ahead of compliance requirements and mitigate unnecessary risks.

One Platform, Complete Code Security

Unify your security processes from detection to resolution. Qwiet AI’s preZero platform offers a single, powerful solution for analyzing code vulnerabilities, prioritizing issues, and implementing fixes.

The Analyst AIs

Leveraging our innovative Code Property Graph (CPG) technology, the Analyst agent performs a deep, context-aware analysis of your code.

  • Examines vulnerability source, sink, and data flow
  • Provides a holistic view of the vulnerability’s impact
  • Prepares detailed instructions for fix generation

The Engineer AIs

Using the Analyst’s assessment, the Problem Solver generates accurate, context-appropriate code patches.

  • Utilizes advanced language models for fix generation
  • Collaborates with specialized sub-agents for optimization
  • Ensures fixes align with your code style and best practices

The Validator AIs

Our QA agent puts every generated fix through its paces, ensuring robustness and reliability.

  • Tests fixes against real-world attack scenarios
  • Verifies fix effectiveness and codebase compatibility
  • Generates test cases for ongoing monitoring

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FAQs

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Qwiet AI's AutoFix is an AI-powered code security solution that automatically analyzes, patches, and tests software vulnerabilities. Using a system of collaborative AI agents and Code Property Graph technology, it reduces fix times by 95% while maintaining code quality and security standards.

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Our AI autofix works through a multi-agent system that analyzes code vulnerabilities, generates appropriate fixes, and validates the solutions. We use proprietary techniques like our Code Property Graph analysis to generate context-aware fixes that don’t break your code.

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Vulns can be fixed accurately and reliably through a combination of deep code analysis, context-aware patch generation, and automated testing. Qwiet AI Autofix achieves this by using specialized AI agents that collaborate to analyze the full context of your code using our patented Code Property Graph, create non-breaking fixes based on our proprietary LLM, and validate those patches thoroughly, ensuring both security and code quality.

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Qwiet AI AutoFix integrates seamlessly into existing development workflows through CI/CD pipeline integration, working alongside current tools and processes. It operates continuously to identify and fix vulnerabilities while developers focus on core development tasks, requiring minimal changes to established procedures.

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AI AutoFix can address any security vulnerability in your code, including but not limited to SQL injections, cross-site scripting (XSS), authentication issues, or anything else that might be wrong with your code, even if it’s highly specific to your codebase.

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