Analyst Report

Real-Time Security For Real-Time AI Code Generator

Gartner report shows how AI agents deliver autonomous, real-time security that matches the speed of AI code generation.

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AI code generation is accelerating development, but 76% of AI-generated code requires security fixes. The new Gartner® report “How AI Agents Will Disrupt Software Engineering” reveals how autonomous AI agents go beyond simple code assistance to act as security autopilots. 

This comprehensive Gartner® analysis shows how AI agents can address the critical gap between AI coding speed and security quality. Unlike basic AI assistants that only suggest code, autonomous AI agents actively prevent security risks from entering your development pipeline.

We believe this report provides essential guidance on implementing AI agents that enhance developer experience while addressing security threat knowledge gaps – a critical need as AI-generated code proliferates across enterprise development. 

Our Key Gartner® Insights:

  • Autonomous Security Autopilots - AI agents that act independently to secure AI-generated code
  • Developer Experience Enhancement – Focusing security on specific SDLC phases for maximum impact
  • Productivity Measurement – Frameworks for measuring AI agent impact on development satisfaction
  • Risk Assessment – Comprehensive evaluation of AI agent implementation opportunities and challenges

Download this complimentary Gartner® report to discover how AI agents can transform your approach to securing AI-generated code before vulnerabilities reach production.

 

 

Gartner, How AI Agents Will Disrupt Software Engineering, Adrian Leow, Haritha Khandabattu, Joachim Herschmann, Avivah Litan, Manjunath, 28 September 2024.

GARTNER® is a registered trademark and service mark of Gartner, Inc. And/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.



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