AI Code Guardrails: A Practical Guide for Secure Rollout
In today's fast-paced development environment, AI coding assistants like GitHub, Copilot, and Google Gemini Code Assist are revolutionizing how we code. However, with the benefits come new challenges, particularly in managing the 27% of AI-generated code that can contain vulnerabilities.
This cheat sheet provides you with the tools and strategies to boost productivity, manage security risks, and implement effective guardrails to ensure your AI-generated code is both efficient and secure.
Sign up today and you will receive a free copy of our Future Focus 2025 report - the leading guidance on AI, cybersecurity and other IT challenges as per 700+ senior executives
ITPro is a global business technology website providing the latest news, analysis, and business insight for IT decision-makers. Whether it's cyber security, cloud computing, IT infrastructure, or business strategy, we aim to equip leaders with the data they need to make informed IT investments.
For regular updates delivered to your inbox and social feeds, be sure to sign up to our daily newsletter and follow on us LinkedIn and Twitter.
-
Introducing the AI Readiness Framework: Secure AI Driven Developmentwhitepaper
-
Modern DevSecOps: 6 Best Practices for AI-Accelerated Development | Cheat Sheetwhitepaper
-
5 Things You Need to Know About Securing AI-Native Softwarewhitepaper
-
What’s Lurking in Your AI? A deep dive into AI Security Posture Management (AISPM)whitepaper
-
The Rise of Agentic AI: Achieving Security Success in a Rapidly Changing Threat Landscapewhitepaper
-
The Data Foundation of AI Confidencewhitepaper
-
Was ist eine OT-Sicherheitsplattform?whitepaper
-
Fortinet OT-Security-Plattform: Starker Schutz für entfernte OT-Standortewhitepaper
