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Every AI security platform on the show floor is running on logs. Logs tell you what happened. They are not a model of the environment it happened in.
Stream built the map your team never had. A live model of your environment that updates the moment anything changes. Come see what your SOC looks like when your AI runs on ground truth instead of guesswork.
Three ways to spend time with us:
Eat. Learn. Leave with the map.
A working session over lunch. We walk through how Stream turns the same logs your SOC already collects into a live model of your environment, and why that changes detection, investigation, and response.
Seats are limited.
Making AI Work in Security: The Leadership Decisions That Determine Whether It Succeeds
A closed-door conversation for security leaders facing their first AI decisions.
Before your team adopts an AI tool, or builds one internally, one question comes first: where does the AI get its context? Most teams default to what they already have. Tools built for a different era, generating context built for a different era. Feed legacy context to AI and you get legacy results.
This session is about the foundation. How to build a live, reliable map of your environment that your whole security team can work from. The map your team never had. And why getting that right, before you deploy anything else, is the decision that determines whether AI works for you.

See your environment, not a slide deck.
Sit down with our team at the booth. Bring your stack, your blind spots, the alert that kept you up last week. We will show you what a live environment model surfaces that logs cannot.
No pitch required. Walk out knowing what is actually reachable in your cloud.