Agentic AI and Future of Secure Software Development – HCL AppScan RapidFix

During our recent webinar, Agentic AI and the Future of Secure Software Development, we discussed how agentic AI tools are reshaping the software development landscape. With the accelerating pace of AppSec innovation, these self-governing AI tools are now starting to transform code writing for testing and securing application vulnerabilities.

Even as technologies such as AI have evolved at breakneck speed, their application for triage and remediation so far is limited—just 27% of organizations are applying AI to code testing, according to Statista. Fewer still have implemented agentic AI itself. That leaves an enormous development potential for development teams to tap into new agentic-AI tools.

This webinar session, hosted by Colin Bell (CTO, AppScan) and Surag Patel (CEO, Pixee), presented specialist views on how agentic AI can strengthen security, simplify development workflows, and redefine best practices for software teams.

Lag Between Detection and Remediation

Easily the most stubborn issue in computer programming is bridging the gap from vulnerability identification to remediation. This is often slowed down by the need for communication between the development and security teams to review the issue, gauge its impact, and determine an appropriate response.

Agentic AI can speed this process with the utilization of autotriage, delivering rapid, precise analysis and applying a deterministic model to suggest actionable fixes. Through the inclusion of these more intelligent solutions in the development process, teams can accelerate remediation, shorten time-to-resolution, and attain high application security levels—without sacrificing release velocity.

Intelligent, Context-Aware Code Remediation

As development teams come under greater pressure to ship secure code more quickly, autofix capability is proving to be a lifesaver. Offering context-aware fix recommendations—along with the right bits of code—autofix technology enables developers to rapidly and accurately patch vulnerabilities.

Not only does this accelerate the detection-to-resolution timeline, but it also enables developers to devote more time to value-add activities, such as producing new features and crafting an improved user experience.

Security Debt: The Silent Obstacle to Agile Development

Remediation is not just about seeing threats—it's about making decisions on remediation in real-time. Legacy vulnerability scanning tools find a lot of potential problems, but these tools are not refined enough to differentiate between true threats and false positive scan results. That's where HCL AppScan RapidFix comes in, with trusted advice that enables teams to immediately determine if a threat is real and why it could be a false positive.

By minimizing noise and bringing actionable insights to the surface, teams can burn down their vulnerability backlog and achieve a tremendous jump in development velocity—all while having a robust security posture.

For more insights, click here to watch this enlightening conversation.

Check out our HCL AppScan RapidFix webpage to learn how an agentic AI solution, with triaged automation and trusted fix suggestions, can free developers and security teams from much of their monotonous manual efforts, eliminate security debt, and improve time to market.