Your enterprise has more AI than you think, and security can’t see it all
THE SO WHAT
Shadow AI is now a security problem, not just a governance headache — developer tools, embedded AI features, and third-party agents mean your actual model and data exposure is larger than your official inventory. This week, CISOs should assume unknown AI usage exists and start with discovery and logging before writing another policy PDF.
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Applied AIThe biggest AI security risk is doing nothing
The real exposure isn’t just bad AI deployment—it’s letting unmanaged AI usage proliferate in the shadows. If you haven’t set basic policies, logging, and guardrails, assume your org already has AI in critical workflows and you’re blind to how it’s changing your risk surface.
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Consolidating Tesla and SpaceX around an AI infrastructure thesis is a bet that owning energy, compute, and connectivity in one stack is a durable advantage. If you’re building AI-heavy products, map which of those layers you truly need to own versus rent before this integration logic spreads.
Applied AIAnthropic previews Claude Duet, an AI agent that works in the background
Background agents like Claude Duet move AI from “chat when asked” to “act while you’re away.” Before you deploy anything similar, decide which workflows you’re comfortable letting software touch without a human in the loop and how you’ll audit what it did.