Close Menu
geekfence.comgeekfence.com
    What's Hot

    Fishery Satellite Surveillance Redefines Ocean Oversight

    July 17, 2026

    Huawei’s purpose-built tourism LLM shines in Xi’an

    July 17, 2026

    The Right Amount of Spec for Agentic Development – O’Reilly

    July 17, 2026
    Facebook X (Twitter) Instagram
    • About Us
    • Contact Us
    Facebook Instagram
    geekfence.comgeekfence.com
    • Home
    • UK Tech News
    • AI
    • Big Data
    • Cyber Security
      • Cloud Computing
      • iOS Development
    • IoT
    • Mobile
    • Software
      • Software Development
      • Software Engineering
    • Technology
      • Green Technology
      • Nanotechnology
    • Telecom
    geekfence.comgeekfence.com
    Home»Software Development»Checkmarx Unveils Self-Healing Application Security in Assist Agent Family
    Software Development

    Checkmarx Unveils Self-Healing Application Security in Assist Agent Family

    AdminBy AdminJuly 17, 2026No Comments4 Mins Read0 Views
    Facebook Twitter Pinterest LinkedIn Telegram Tumblr Email
    Checkmarx Unveils Self-Healing Application Security in Assist Agent Family
    Share
    Facebook Twitter LinkedIn Pinterest Email


    AI is generating code faster than teams can review it. Checkmarx, the leader in agentic application security, today addressed that gap by introducing self-healing application security: autonomous agents that detect, fix, and verify vulnerabilities as developers code.

    Key Takeaways

    • Developer Assist now runs a continuous find-and-fix loop directly in AI coding tools through hooks, catching and fixing vulnerabilities as code is written with up to 70% less manual remediation effort.
    • Triage and Remediation agents autonomously prioritize what’s already in the codebase and generate merge-ready fixes, cutting manual triage and accelerating developer productivity.

    Closing the Loop from Code to Backlog

    According to Checkmarx’s 2026 Future of Application Security report, 96% of developers now use AI coding tools, but only 18% apply security continuously as they write code, a gap autonomous remediation is designed to close.

     

    In a study Checkmarx commissioned from independent researcher The Weather Report, published in July 2026, frontier models produced working code 83% to 95% of the time, but only 24% to 36% of that code was both secure and functional. Even a post-hoc security review lifted the secure-and-functional rate to only 47% to 56%, underscoring the gap that autonomous remediation is built to close.

     

    “Security teams have spent a decade trying to keep pace with how fast code gets written, and AI just moved that goalpost again,” said Harshil Parikh, VP of Product Management at Checkmarx. “The only way to close that gap is to stop treating detection and remediation as separate steps handled by separate tools and let the system fix what it finds.”

     

    “The goal is prevention – creating a continuous flow of clean code from the start and autonomous fixes before code reaches production,” said Jonathan Rende, chief product officer at Checkmarx. “With autonomous remediation, fixes are applied while developers are still writing code, before it’s ever checked in, and what’s in the pipeline gets prioritized and expedited without having to think about it.”

     

    Developer Assist now works as a single remediation loop pre-commit. While the IDE, it runs autonomously through hooks and MCP. It detects a vulnerability, retrieves context from Checkmarx One, generates a fix and verifies it before code is committed. Developers using IDEs like Cursor, Windsurf or Kiro or a command-line interface (CLI) with LLMs like Claude Code can get the same autonomous loop without switching tools.

     

    Once code reaches the backlog, Triage and Remediation agents take over. They isolate exploitable risk from severity noise using real-world reachability, what Checkmarx calls attackability, then generate merge-ready pull requests for the vulnerabilities that matter. Developers review and merge each fix; AppSec retains policy control and full traceability over every automated decision.

     

    Validated in Production at PatientPoint

    PatientPoint, a long-time Checkmarx customer in the healthcare technology space, has been an early user of Remediation Assist. Facing a growing vulnerability backlog as AI-assisted development accelerated the pace of code changes, the company’s application security team used the agent to translate a large volume of findings to a small number of merge-ready pull requests for developers.

     

    “Triage and Remediation Assist agents identified false positives and gave our developers the chance to review before merging; that’s exactly what we wanted,” said Femi Oyesanya, application security engineer at PatientPoint. “Our priority is to protect patient data, and this lets us do that without slowing developer productivity or driving up token costs.”

     

    Availability

    Developer Assist’s autonomous mode, along with Triage Assist and Remediation Assist, are generally available now with Checkmarx One. To learn more, visit Checkmarx.com.

    1 For dependency and package-upgrade work specifically, Developer Assist’s Safe Refactor capability models a representative reduction in manual remediation effort of about 70%, cutting a typical six-hour package upgrade to 1.8 hours, an estimated $420 in developer time at $100 an hour.

     

    SD Times Newswire



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

    Related Posts

    Top AI Legacy System Modernization Companies in 2026

    July 12, 2026

    The Hidden Infrastructure Challenge Behind Every AI-Generated Avatar

    July 11, 2026

    Experiences with local models for coding

    July 9, 2026

    A Guide to Medical Imaging

    July 6, 2026

    Software Engineering Intelligence: Measuring Engineering the Way Engineering Deserves to Be Measured: SD Times 100

    July 5, 2026

    How a teaching method built on outdated constraints and assumptions got mistaken for the best way to learn.

    July 4, 2026
    Top Posts

    Understanding U-Net Architecture in Deep Learning

    November 25, 202562 Views

    Hard-braking events as indicators of road segment crash risk

    January 14, 202631 Views

    Redefining AI efficiency with extreme compression

    March 25, 202630 Views
    Don't Miss

    Fishery Satellite Surveillance Redefines Ocean Oversight

    July 17, 2026

    In the eastern Indian Ocean, south of Java in the vast sea stretching toward Australia,…

    Huawei’s purpose-built tourism LLM shines in Xi’an

    July 17, 2026

    The Right Amount of Spec for Agentic Development – O’Reilly

    July 17, 2026

    New York data centre moratorium pause puts power under review

    July 17, 2026
    Stay In Touch
    • Facebook
    • Instagram
    About Us

    At GeekFence, we are a team of tech-enthusiasts, industry watchers and content creators who believe that technology isn’t just about gadgets—it’s about how innovation transforms our lives, work and society. We’ve come together to build a place where readers, thinkers and industry insiders can converge to explore what’s next in tech.

    Our Picks

    Fishery Satellite Surveillance Redefines Ocean Oversight

    July 17, 2026

    Huawei’s purpose-built tourism LLM shines in Xi’an

    July 17, 2026

    Subscribe to Updates

    Please enable JavaScript in your browser to complete this form.
    Loading
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    © 2026 Geekfence.All Rigt Reserved.

    Type above and press Enter to search. Press Esc to cancel.