AI-Powered Remediation: Mend SAST Performs +46% Better Than Competitors
Security teams face limited resources and a growing attack surface while developers struggle with security responsibilities that feel burdensome, annoying, or seem to conflict with their first priorities. AppSec teams turn to static application security testing (SAST) tools to identify vulnerabilities in first-party code early in the software development lifecycle while developers can still fix issues before the code is old and forgotten about.
But SAST tools have a reputation for causing more pain than they solve. Lengthy scan times have frustrated many organizations, and high-rates of false positives have left developers to manually interpret findings and implement necessary fixes on their own—or, even worse, simply ignore SAST alerts altogether and leave their applications at risk.
As leaders in both securing AI models and using AI to build better application security tools, we are excited to announce we have added AI automated remediation to Mend SAST—validated by an independent third party to outperform our top competitors.
Mend SAST: better detection and better remediation
AI-powered automated remediation revolutionizes vulnerability management by streamlining workflows and significantly reducing developer burden. This approach delivers accurate code fixes that accelerates remediation and improves code security.
Powered by AI, Mend SAST effectively remediates vulnerabilities with speed and accuracy while providing the visibility and control organizations require.
Our AI-powered remediation reduces the error-prone manual remediation that leaves applications at risk. That means developer-time saved, faster releases, and better applications.
Our solution is fast and accurate. And it’s not just our marketing team saying that. We’ve got the numbers to back us up:
Mend SAST’s highly accurate scan engine produced findings with +38% better precision and +48% better recall than benchmark competitors. It also provides clear and actionable guidance with AI-based code fixes that are +46% more accurate than benchmark competitors—empowering developers to effectively resolve vulnerabilities fast.
Mend SAST: top of the stack
Benchmark testing conducted by an external third party found that Mend SAST performed on average +46% better than competitors at providing safe (non-build breaking) and accurate AI generated code fixes against actual issues.
| Language | Mend.io | Competitor Average |
|---|---|---|
| Python | 76.1% | 47.2% |
| Java | 88.2% | 31.0% |
| C# | 65.0% | 63.0% |
| JavaScript | 79.0% | 17.0% |
Stay tuned for a deeper analysis of these critical results to be published soon.
Mend SAST: stay secure from the start
Security teams are under immense pressure to protect their organizations from increasingly sophisticated cyberattacks. AI automated remediation provides a force multiplier, enabling them to strengthen their security posture and improve their ability to manage risk effectively.
Mend SAST with AI remediation allows security to increase developer accountability while decreasing developer frustration. Now teams can fix fast and see:
- Reduced Vulnerability Risk: AI helps proactively address vulnerabilities by providing instant remediation guidance, minimizing the window of exposure for exploits.
- Better Resource Allocation: Automation allows security teams to focus on more strategic initiatives and complex threats, instead of manually triaging and managing every vulnerability.
- Improved Developer Skills: AI-powered tools can act as a continuous learning aid for developers, providing real-time feedback and guidance on secure coding practices, thus upskilling the team over time.
- Faster Release Cycles: By accelerating vulnerability remediation, AI helps reduce delays in the SDLC, allowing for quicker releases and faster time-to-market.
*** This is a Security Bloggers Network syndicated blog from Mend authored by Lisa Haas. Read the original post at: https://www.mend.io/blog/mend-sast-ai-powered-remediation/
