What Is AI Security?
It generally spans three areas: usage (employees using third-party AI tools), integration (the organization's own applications built on first- or third-party LLMs), and increasingly, agentic security (autonomous agents acting on the organization's systems and data). As AI adoption has moved from experimentation to core infrastructure, AI security has shifted from a niche specialty to a standard component of an organization's broader security program.
Why It Matters
- Blocking AI outright isn't a workable long-term strategy for most organizations, real AI security is about visibility and governance, not prohibition.
- The three areas (usage, integration, agentic) require different controls. A policy that only addresses employee chatbot use won't catch a compromised homegrown application or an overprivileged agent.
- This has become a standing line item in security programs generally, not a specialized side project.
