Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most vulnerability tools flood teams with static scores and long lists but ExPRT.AI changes the game by predicting what adversaries are most likely to exploit. This demo drill down shows how ExPRT.AI dynamically scores risk across asset types, network exposures, and third-party findings. You’ll see how it re-prioritizes vulnerabilities based on real-world telemetry, attacker behavior, and environmental context including a Tenable example.

Vulnerability data is often siloed and captured in static dashboards, disconnected from real-time investigation. But with Falcon Exposure Management streaming into NG-SIEM, that changes. This demo shows how teams can correlate live vulnerability events with endpoint behavior, network activity, and even cloud telemetry. Using a Firefox example, we trace active and historical exposure, revealing how ExPRT.AI, asset metadata, and cloud-aware context come together in Next Gen SIEM.

Physical security and IT security have gone hand in hand for a long time. While cybersecurity teams are rightfully focused on protecting their virtual environments, they should also have an eye on whether an adversary is walking through the front door. “Anytime there’s a physical boundary, an adversary is going to look to cross over that — whether it be in person or using some technology to get over that boundary,” Adam says in this episode on physical security threats.

Sensitive data moves in and out of your organization every day. But how do you know when routine becomes risky? With Charlotte AI Agentic Workflows, CrowdStrike helps you fast-track the hunt for suspicious file activity—so you don’t have to. From after-hours uploads to unsanctioned cloud storage, Charlotte AI helps you analyze file movement across your environment. By reviewing Falcon Data Protection events, applying a foundational model, and generating a structured, actionable report, this demo shows how agentic automation brings clarity to chaos—no log diving required.