Security teams adopt 12 best practices to safely integrate AI apps

The article discusses the challenges and best practices for security teams to effectively integrate AI applications into operational security workflows.

It outlines 12 key practices: 1) Visibility for identifying risks, 2) Understanding risk through continuous data monitoring, 3) Building trust among stakeholders for collaboration, 4) Leveraging trust to involve security earlier in development, 5) Generating comprehensive telemetry data, 6) Developing processes for agile security operations, 7) Enforcing security controls

effectively, 8) Implementing preventive controls against threats, 9) Utilizing detective controls for continuous monitoring, 10) Investigating security issues thoroughly, 11) Mitigating issues promptly, and 12) Iterating on lessons learned for continuous improvement. The author emphasizes the need for proactive measures as organizations rush AI into production, suggesting security teams must adapt to secure these technologies.