How Security Teams Can Prepare for AI Applications in Production

Summary

The article recommends preparing to secure AI applications before they reach production by involving security teams early, strengthening operational workflows, maintaining application and API security, and adding proactive scanning and AI-aware runtime monitoring.

Key points

• Involve security teams earlier in AI application development by using concrete risk and vulnerability data to engage application owners and developers.
• Build security agility to manage policy, controls, investigations, and response across complex hybrid and multi-cloud environments.
• Prepare security operations workflows to incorporate data, events, and alerts from AI applications.
• Extend existing application and API security capabilities with AI-specific protections rather than rebuilding security from scratch.
• Continuously scan application, API, and AI security layers to find vulnerabilities, risks, and sensitive-data exposures before they escalate.
• Use AI-aware runtime capabilities to identify and respond to attacks, abuse, fraud, and DDoS in near real time.