Continuous code scanning
Code scanning continuously analyzes your codebase—human-written and AI-generated—for security vulnerabilities, hardcoded secrets, and coding errors, so you can fix flaws before attackers exploit them.
Challenges
Why code scanning fails in practice
Code scanning should be more than a compliance checkbox. But when scans are slow, noisy, or bolted on outside developer workflows, teams stop trusting the results—and stop using the tool.
Developer frustration
High false positives, missing context, and long feedback loops train developers to ignore findings. If scan results aren’t accurate and actionable, adoption dies.
Implementation issues
Tools that require special builds, full-repo rescans, or manual handholding can’t keep pace with modern development—especially at AI-assisted coding speed.
Fragmented visibility
Custom code, open source, containers, and AI-generated code often get scanned by disconnected tools, leaving security teams without a unified view of code risk.
Opportunities
Solve for different needs
Effective code scanning starts with the realization that dev and sec teams have different, but complementary needs. To meet both, scanning has to work where each team lives.
Integrate
Prioritize
Cut through the noise with solutions that offer prioritized, near real-time results so devs focus on the most important issues—without a wait.
Unify
Give your sec team a unified view of application risk across various environments and other security tools.
The solution
Mend SAST: code scanning built into developer workflows
Secure proprietary code with AI powered fixes, 10x faster with +50% accuracy.
Discover Mend SAST
“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.”
“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.”
“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.”
FAQs
How does Mend.io approach continuous code scanning?
Mend SAST scans proprietary code across repositories, pull requests, CI/CD pipelines, and IDEs delivering prioritized, near real-time results to developers in their own environment with AI powered fixes attached.
Can Mend SAST keep up with developer velocity?
Yes. Scan results arrive in near real time with automated AI powered fix options, so scanning runs continuously without blocking commits or forcing developers to wait on security.
How does Mend.io cut through SAST false positives?
Mend SAST prioritizes high-confidence findings and provides code locations, data-flow traces, endpoint context, and remediation guidance. Agentic SAST Triage can also classify supported findings as likely true positive, false positive, or inconclusive, with an explanation.
For how static analysis works under the hood, read the SAST guide.
Does Mend.io’s code scanning include remediation?
Yes. Developers receive remediation guidance, AI powered fixes, training resources, and code-flow evidence directly in their workflows, cutting fix time from hours to minutes.
Can Mend.io scan code on premises?
Yes. Mend.io supports on-premises scanning or private cloud deployments for teams with data residency or regulatory requirements.
Stop managing alerts.
Start reducing risk.
Join the teams reducing remediation effort by 75%.
