Continuous code scanning
Code scanning continuously analyzes your codebaseโhuman-written and AI-generatedโfor 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 resultsโand 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 developmentโespecially 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 issuesโwithout 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
Stop managing alerts.
Start reducing risk.
Join the teams reducing remediation effort by 75%.