Best Practices to Mitigate Security Risks With Agentic Coding Tools
AI coding tools are accelerating software development — but they also introduce new security and governance risks.
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Download this Complimentary Gartner® research note to learn how engineering leaders can safely adopt agentic coding tools while maintaining security and accountability.
What You'll Learn
According to Gartner®, “Application security testing must be integrated into the SDLC and must scan all AI-generated code. Layer multiple tools to provide defense-in-depth to security review AI-generated code at scale and with greater efficiency.”
Key Insights Include:
Why “AI cannot replace human expertise in creating or verifying software and application architecture.”
How to maintain accountability and ownership of AI-generated code across development teams
Why organizations should establish governance policies for the safe use of AI tools within the software development lifecycle (SDLC)
How to apply security automation and testing to detect vulnerabilities in AI-generated code
Which KPIs and monitoring practices engineering leaders should use to evaluate AI tool performance and security impact
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Application security testing must be integrated into the SDLC and must scan all AI-generated code. Layer multiple tools to provide defense-in-depth to security review AI-generated code at scale and with greater efficiency.
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