Static Application Security Testing
Secure proprietary code 10x faster with +46% accuracy
Secure human and AI-generated code pre-commit. Mend SAST delivers near real-time feedback and AI-powered fixes directly in the repo so vulnerabilities get resolved before they reach production.
Trusted by enterprise teams
The problem
Custom code risk management can’t keep up with AI-driven development
Unreviewed AI-generated code
AI code assistants are shipping vulnerabilities into your repos faster than security teams can review them, turning velocity into exposure.
Alert fatigue from legacy SAST
Traditional scanners bury developers in false positives, pushing real risks to the bottom of the backlog and stalling remediation.
Security reviews that block AI velocity
Slow, out-of-band scans force context switches, delay merges, and put security and engineering at odds just when speed matters most.
The solution
Smarter, faster SAST built for AI-driven development
Agentic SAST support for AI code assistants
Autonomously find and fix code flaws, whether human or AI generated, before committing it to the repo.
Mend SAST feeds vulnerability information into AI code assistants to automatically remediate custom code flaws directly in the AI workflow.
Cut noise, focus on what matters
Shows only new findings from your last commit — 38% more precise, 48% better recall than competitors — with actionable fixes and education, all in your repo.
Accelerate MTTR with AI-powered remediation
AI-powered code fixes — 46% more accurate than competitors — empower developers to fix fast without writing a single line of code.
Near real-time feedback
Obtain accurate results directly to the repo 10 times faster than traditional SAST scanners that slow down development.
Keep source code on premise
Scans on-prem and performs analysis in the cloud, so your source code never leaves your premises.
“One of our most indicative KPIs is the amount of time for us to remediate vulnerabilities and also the amount of time developers spend fixing vulnerabilities in our code base, which has reduced significantly. We’re talking about at least 80% reduction in time.”
“Mend.io is a great fit for enterprises that need an all-in-one solution for security, license, and operational risk as well as supporting services.”
“When the product you sell is an application you develop, your teams need to be fast, secure and compliant. These three factors often work in opposite directions. Mend provides the opportunity to align these often competing factors, providing Vonage with an advantage in a very competitive marketplace.”
“Mend.io’s new pricing strategy is a strength: It offers one price for all products and services, including SCA, dependency updates, SAST, container security, and AI security, and it reflects the vision that customers need a holistic view of the application stack.”
“The biggest value we get out of Mend is the fast feedback loop, which enables our developers to respond rapidly to any vulnerability or license issues. When a vulnerability or a license is disregarded or blocked, and there is a policy violation, they get the feedback directly.”
Frequently asked questions
I do not want to share my code with a cloud vendor. Would your SAST still work for me?
Our SAST product uses a hybrid architecture. It scans your software locally, so your source code never leaves your premises. Prioritization and triage of the results, auto-remediation, reporting and other functions are done in the cloud base on source code snippets to give you the necessary context.
This gives you the best of both worlds — peace of mind of an on-premises scanner, with no administrative or maintenance headaches.
How does Mend SAST secure AI-generated code?
Mend SAST feeds real-time vulnerability context into AI code assistants, so flaws in AI-generated code get caught and fixed inside the same AI workflow — pre-commit, before the code ever reaches the repo. For issues that do land in the repo, AI-powered remediation suggests validated fixes that are +46% more accurate than competitors, keeping AI-driven development fast without creating a security backlog.
What makes Mend SAST different from other SAST tools?
Mend SAST helps you proactively reduce risk with:
- +38% better precision and +48% better recall than benchmark competitors.
- AI-powered remediation that is +46% more accurate than the competition
- A repo-centric approach – findings appear on-commit with differential results, training, and remediation guidance where developers already work
How does AI-powered remediation work in Mend SAST?
Mend SAST uses generative AI to automatically suggest or apply fixes for detected vulnerabilities. These fixes are validated to avoid breaking builds, dramatically reducing developer effort and remediation time.
Which programming languages does Mend SAST support?
Mend SAST supports Python, Java, JS, C/C++, C#, TypeScript,Go, PHP, Ruby, Swift and more. See our documentation for the full list.
AI-powered remediation is available for: Java, JavaScript, Python, and C#.
How accurate are the scan results and code fixes?
In third-party testing Mend SAST provided the most accurate results across all benchmarked languages.
For example, in JavaScript, Mend SAST delivered 79% true positives with good fixes, outperforming Snyk (14.3%) and SonarCloud (0%).
How does Mend SAST help developers?
Saves Time: Automates the fix process so developers spend less time on security patching.
Improves Skills: Offers guidance and secure code suggestions, serving as a learning tool.
Accelerates Releases: Reduces security bottlenecks, allowing faster time-to-market.
Get started
See how Mend.io secures AI-driven development in your stack
Mend.io offers an enterprise suite of application security tools to help you detect and remediate vulnerabilities in your open source while maintaining full visibility into your entire security risk posture.
Here’s what to expect after filling out the form:
- Talk to an expert who understands the risks of AI-generated code and embedded AI models
- Get a tailored plan to secure the AI in your apps and your AI generated code
- See how our platform works across your stack: AI, dependencies, containers, and custom code
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