Mend.io Launches Highly Accurate AI Remediation for Mend SAST

TEL AVIV, Israel and BOSTON, MA, January 28, 2025 – Mend.io, an innovative leader in application security, today launched AI automated remediation, a feature validated by an independent third party to outperform competitors, to their static application security testing tool, Mend SAST.

Mend SAST with AI-powered automated remediation significantly reduces developer burden and accelerates remediation, improving code security and release cycle times.

Validated by an independent third party, 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.

“SAST tools in general have been necessary for application security but unpopular with developers because they are often highly inaccurate, so their findings need to be interpreted manually,” said Rami Sass, CEO and co-founder of Mend.io. “Our Mend SAST engines were already making huge leaps in improving accuracy, but with AI automated remediation alerts are even more accurate and fixes can now happen extremely fast. This workflow streamlining significantly reduces friction both for developers themselves and between developers and security teams.”

Staying 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 the following benefits:

• 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.