A CISO pulled a report last week showing 223 AI-related security incidents in a single month. Her exact words: "We thought we had maybe a dozen." The real crisis isn't that employees are using AI—it's that most leadership genuinely believes they know which AI tools are running on their network. They don't.
THE RADAR
OpenAI Starts Testing Ads Inside ChatGPT Conversations
Your free-tier users just became OpenAI's ad inventory. Every prompt your team sends on personal accounts is now training data AND targeting metadata. If you haven't classified ChatGPT usage as a data exfiltration vector, your DLP policy has a billion-dollar blind spot. The banner ads start rolling out this month—which means the monetization layer is already live.
Over Half of Enterprise AI Projects Shelved Due to Infrastructure Complexity
More than 50% of AI projects were delayed or canceled in the past two years. This isn't a tooling problem—it's a reality check. The gap between "we deployed a model" and "we run AI in production" is where budgets go to die. If your AI roadmap doesn't include dedicated platform engineering headcount, you're planning to fail.
Shadow AI Usage Triples as Data Violations Double
Organizations now average 223 AI-related data security incidents per month. That's one every two hours during business hours. Your compliance team is fighting a war they don't know they're losing. The question isn't whether sensitive data has leaked to which vendors—it's how much, and to which vendors.
ChatGPT Go Expands Globally at $8/Month
OpenAI just made shadow AI 60% cheaper. Your "we only approve ChatGPT Plus for approved roles" policy is about to get arbitraged by every team with a credit card. This isn't a product launch—it's a Trojan horse for org-wide adoption you can't see coming.
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What's the most surprising AI tool you discovered running in your organization without approval?
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