Securing the Future: Managing the Risks of AI-Generated Code and Applications
Explore AI-generated code risks and how agentic AI-powered ASPM helps govern and remediate vulnerabilities at machine speed.
This whitepaper explores how AI-generated code is reshaping software development and security risk. Tools like GitHub Copilot, ChatGPT, and Amazon CodeWhisperer enable developers to ship features at unprecedented speed, but also introduce new vulnerabilities, hidden assets, and compliance challenges that traditional AppSec tools cannot manage.
Examining the evolving attack surface, this paper provides a blueprint for securing AI-generated applications with an AI-powered, agentic ASPM platform built to operate at machine speed. Readers will gain insight into how enterprises can govern, prioritize, and remediate risks effectively across human- and machine-authored code.
In this whitepaper, you’ll discover:
- Key risks unique to AI-generated code and applications
- Why legacy security tools fail in AI-driven development environments
- Core capabilities required to govern and secure AI-authored code
- Real-world examples of organizations reducing AI-driven risk at scale
- How agentic AI-powered ASPM enables rapid discovery, prioritization, and remediation
Armed with these insights, security leaders can embrace AI-powered development confidently—knowing their security posture can match its speed and complexity.
