Prediction Guard on Practical AI: Machine Learning, Data Science

If you've been listening to the show over the past few months, you realize just how transformative agentic AI is, whether that's Claude Code or Hermes Agent or custom built software that you're deploying for operational efficiencies or as new products to your customers. regardless of your maturity now, this is the world that we're headed towards, this agentic AI world. And there's a lot of security and governance teams that aren't letting these agents go into production because of risks related to agency and autonomy. And how do you take care of things like prompt injections or insecure tool usage? There's a lot to take care of, and that's why I'm personally spending my time outside of the show working with an amazing team of AI engineers to build Prediction Guard. Prediction Guard is an AI control plane that you run in your own infrastructure behind your firewall. Developers can build on top of this control plane using everything that they want to use. OpenAI and Anthropic compatible APIs, MCP servers, frameworks like Langchain. But all of this is plugged into a built-in governance harness that enforces your organization's AI policies. And all of that telemetry goes back to your monitoring and alerting systems. I would encourage you to check out what we're doing at predictionguard.com slash practical AI. You can schedule a demo with me and the team, and I'd love to get your feedback on what we're doing. So visit us at predictionguard.com slash practical AI. That's predictionguard.com slash practical AI.