Securing their products is a challenge for businesses. Teams are inundated with false positives from current Static Application Security Testing (SAST) technologies, and those identifying vulnerabilities cannot be fixed. Meet ZeroPath, a GitHub app that detects, verifies, and issues pull requests for security vulnerabilities in your code.
The ZeroPath tool not only automatically identifies vulnerabilities in your code but also confirms them and provides solutions to fix them. By reducing the time and cost per vulnerability fix, engineers can seamlessly integrate their existing SAST tools with ZeroPath for validation and triage. This feature allows developers to concentrate on their core tasks, using natural language commands to communicate with @zeropath-ai in pull requests.
How ZeroPath Works?
The user must first integrate with GitHub to scan pull requests for vulnerabilities and regularly run vulnerability scans of the source code. To drastically cut down on false positives, ZeroPath uses sophisticated LLMs, and it also creates fixes for vulnerabilities that are found. It also sends out pull requests to fix them automatically.
Key Features for ZeroPath
ZeroPath can eliminate 85% of false positives and connect it with your current SAST. With the simple addition of the @zeropath-ai tag to pull requests, vulnerability remediation time can be cut by as much as 90%, and patches can be modified using natural language. Moreover, ZeroPath safeguards against SAST vendor lock-in and effortlessly handles complicated, multi-file modifications.
In Summary
ZeroPath, a GitHub software, simplifies the process of securing your code. It scans for security flaws, validates them, and then submits pull requests to fix them. It also identifies and fixes vulnerable security flaws in web applications without the need for complex configurations. When it comes to security tool setup and management, ZeroPath provides a user-friendly experience. With just a few clicks, the user can enable scheduled and PR scans. The introduction of ZeroPath is a game-changer for developers, offering enhanced codebase security, improved efficiency, and reduced expenses through its automated vulnerability identification and remediation.
Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone’s life easy.
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