Secure Path to AI-Powered Development: O'Reilly Report
The AI revolution in software development is delivering unprecedented speed, but it also introduces significant security risks, amplified by the use of AI coding assistants and emerging agentic systems. While 82% of developers use AI coding tools regularly, only 28% fully trust the resulting code.
This report provides a data-backed strategy for securing AI-driven development. It advocates shifting from traditional policies to adaptive, context-aware guardrails.
Key takeaways from this report:
The AI security gap: Developers enjoy productivity gains but worry about introducing vulnerabilities, leading to a trust gap that slows review cycles.
Common risks: AI-generated code often contains well-known vulnerabilities like SQL injection, buffer overflows, and hard-coded secrets.
The solution: Build an AI security program based on the principles of early intervention, explainable results, and developer-centric experience.
Guardrail Necessity: Learn how to implement security across all critical control points: the IDE, Pull Request (PR), and Repository.
Download this report to implement the governance and tooling necessary to innovate responsibly and securely in the age of autonomous code.