Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How much power and water do AI data centers actually consume—and what does their growth mean for local communities? In Episode 2 of Attempted Intelligence, hosts Harlan Parrott (VP of AI Innovation at KnowBe4) and Matt Duren (SVP of Engineering for AI & Data) go head-to-head in a friendly debate over the environmental and economic realities of AI infrastructure. A coin flip assigns their positions as they tackle the viral claims surrounding AI energy consumption, local water usage, and the trade-offs facing local governments.

Can you say for certain how a packet gets from point A to point B? Can you predict what breaks if you change one firewall rule? For most teams the honest answer is no, and that’s a visibility problem, not a people problem. This video walks through how Forward Enterprise builds a mathematically accurate digital twin of your network from the configs and state of every device, across 30+ vendors and AWS, Azure, Google Cloud and IBM Cloud. Collection is read-only and uses the access you already have. From there, the twin also lets you do several things, including.

Your employees have a lot to confess about how they’re using AI. The question is whether you’ll hear it from them. Shadow AI is already part of how most teams work. Sensitive data goes into AI tools every day, and most leaders have no visibility into it. Teramind gives you full visibility into how employees use AI, so you can set clear rules, protect sensitive data and enable safe AI adoption across your organization.