Caught Off Guard: Securing AI After It Hits Production

Security teams are finding themselves caught off guard as companies rapidly move AI projects from experimentation to production without involving them in the process. To prepare for these surprise deployments, experts recommend security organizations focus on data-driven conversations with development teams, maintain operational agility, ensure workflows can quickly integrate new AI applications, and implement continuous scanning with contextual awareness of AI-specific threats. The good news is that much of the security infrastructure needed already exists in application and API security stacks, so teams can build on existing foundations rather than starting from scratch.