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    AI sprawl describes the phenomenon where AI tools multiply across an organization faster than they can be tracked, evaluated, or governed. Unlike traditional SaaS sprawl, AI sprawl has unique accelerants:

    • Low barrier to adoption: Many AI tools are free or freemium, requiring only a browser
    • Embedded activation: AI features appearing in tools already in use
    • Agent proliferation: AI agents that can spawn sub-agents or connect to additional services
    • Department-level adoption: Teams adopting AI tools independently without central coordination

    AI sprawl isn't inherently bad — it reflects genuine productivity gains. The problem is ungoverned sprawl, where security teams lose visibility into what's being used and what data is being exposed.

    Why it matters

    The average enterprise discovers 3x more AI tools than reported in manual inventories. Sprawl is the norm, not the exception. The question isn't whether to allow AI adoption — it's how to maintain visibility and control as it scales.