How to build AI security guardrails without blocking innovation | TechTarget
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putilov_denis - stock.adobe.com
While adoption of AI tools has surged, security has not kept pace.
McKinsey's "State of AI: Global Survey 2025" found that 88% of organizations now use AI in at least one business function. IBM's "Cost of a Data Breach Report 2025," meanwhile, found that 13% of organizations experienced breaches of AI models or applications, and that 97% of those breached lacked proper AI access controls.
For CISOs, the challenge is two-fold: build guardrails that protect the organization without blocking the innovation enabled by AI. Internal AI tools, such as LLMs, copilots, assistants and autonomous agents, introduce risks that traditional security programs were not designed to handle. Addressing these risks requires governance, technical controls and diligent monitoring.
Establish governance first
Before designing technical controls, establish governance. Appoint a single role accountable for AI oversight across the organization. This person needs both the authority to...
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