AI Security
By leveraging AI organizations can empower their developers and AppSec teams to proactively manage application security.
AI for Security
Boost Productivity
Leveraging AI for application security can substantially improve the efficiency and effectiveness of the security process, empowering developers and AppSec teams to work smarter and faster.
Integrate AI-powered static application security testing (SAST) tools to detect vulnerabilities in the code during the development phase. Combining CodeSonar with GitHub Copilot allows developers to automatically fix identified vulnerabilities, streamlining the security workflow..
Take a look at our capabilities showcasing CodeSonar using VSCode and GitHub Copilot to help fix warnings easily. In addition, GitLab Duo, ChatGPT and Google Gemini are also compatible with CodeSonar warnings similar to GitHub Copilot.
Play videoSecurity for AI
Detecting Usage
Develop machine learning models that learn from past vulnerabilities and incidents to predict and recommend preventive measures for new applications.
Utilize CodeSentry to detect AI usage within your codebase or application. The resulting application intelligence mapping enables you to mitigate risks, enhance software security, and strengthen your overall security posture.
The integration of automated tools, intelligent systems, and personalized training cultivates a security-first mindset throughout the software development lifecycle.
Book a Demo
We’re ready to help you integrate SAST and BCA security into your DevSecOps flow. Get a personally guided tour of our solution offerings to ensure you are receiving the right solution for your development team.
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