Codacy, a platform for application security and code quality automation, has launched the AI Coding Risk Assessment, a new self-assessment survey designed to help engineering teams evaluate the security posture of their AI-assisted development workflows. This initiative addresses the growing challenge of managing security risks and regulatory scrutiny associated with using generative AI coding tools like GitHub Copilot and Claude.
Quick Intel
Codacy launches an AI Coding Risk Assessment survey for engineering teams.
It helps benchmark security in AI-assisted development workflows.
The survey covers policy, security, risk management, culture, and training.
It provides a personalized industry benchmark and a checklist for improvement.
The goal is to help companies leverage AI coding tools safely at scale.
The data contributes to a comprehensive, anonymous industry dataset.
As organizations rapidly adopt AI coding assistants to boost developer productivity, they face significant new risks from machine-generated code, including security vulnerabilities and compliance issues. Codacy's survey, composed of 24 targeted questions, is designed to create the first comprehensive dataset on how teams are mitigating these risks. It provides a structured way for companies to evaluate their practices across three core pillars: Policy and Governance, Security and Risk Management, and Culture and Training.
A key differentiator of this assessment is its ability to provide immediate, personalized value to each respondent. Unlike generic industry reports, participants who complete the anonymous survey receive a tailored benchmark showing how their company's AI security practices compare to others in the industry. They also get a concrete AI Governance and Security checklist to help them identify and address specific gaps in their current workflows.
The launch is a direct response to the industry's need for a unified, data-backed resource on AI coding security. By aggregating anonymous responses, Codacy aims to build a valuable dataset that reflects the current state of AI governance in software development. This empowers engineering leaders to make informed decisions, justify investments in security tooling, and implement concrete steps to safely scale their use of generative AI.
The introduction of the AI Coding Risk Assessment underscores a critical maturation in the adoption of AI coding tools. As these technologies move from novelty to necessity, Codacy is providing a vital framework for organizations to balance the immense speed benefits of AI with the rigorous security and governance required for enterprise-scale software development.
Codacy is a leading platform for end-to-end AppSec and Code Quality automation, supporting 15,000 organizations and 200,000 developers worldwide. Codacy's proprietary IDE plugin, Guardrails, automatically repairs security and quality violations in AI-generated code before it is even viewed by the user, allowing organizations to enforce compliance from the moment of code inception.
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