Quote:Organizations want the benefits of AI, but they can't afford to trade velocity for risk. Even as developers are rapidly adopting coding assistants, most companies still have no visibility into the resulting quality, safety, or security implications. So what should security look like in an AI-native world?

Backed by insights from real-world scans and developer surveys, this report quantifies how AI is changing software security-and how forward-thinking organizations can get ahead of the curve. Whether you're evaluating risks, enforcing guardrails, or implementing AI org-wide, you'll gain data-driven clarity on why security must shift left (into the developer workflow), then learn a new approach, AI Dev Trust, that can help you deliver fast, scalable, and secure AI-assisted development without slowing your teams.

Understand the security risks unique to generative AI coding
Explore the AI Dev Trust approach and discover why it matters now
Learn the requirements for real-time scanning and remediation of AI-generated code
Identify key weaknesses in your current AppSec program with regard to AI tools
Evaluate solutions for securing AI-generated code in IDEs, PRs, and repos
Build cross-functional policies that empower developers with safe AI

Quote:📌 The Secure Path To AI Powered Development 9798341660830.epub (Robert Haynes) (2025) (1.97 MB)