Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot
Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...
The open-source project maps directly to OWASP’s top 10 agentic AI threats, aiming to curb issues like prompt injection, ...
You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.
Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time.
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