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.

Security teams are overwhelmed by thousands of assets and alerts, with no clear path to prioritize what matters most. Falcon Exposure Management’s AI Asset Criticality feature delivers scalable, intelligent asset classification powered by human insight and machine learning. This demo shows how teams can move from manual tagging to AI-driven prioritization, helping them focus on critical risks, sharpen attack path analysis, and stay ahead of threats.

Client-side exploit delivery methods like malicious documents or browser-based attacks are among the most common ways adversaries gain initial access. But without visibility into these entry points, many attack paths go undetected. This demo shows how Falcon Exposure Management identifies and maps attack paths that begin with client-side exploitation. By combining exploit visibility with real network context and asset criticality, security teams can uncover hidden lateral movement risks and take action fast.

Would you rather have an adversary profile you based on your AI chat history or tell your AI chatbot to forget everything it knows about you?

Falcon Identity Protection strengthens security for non-human identities with continuous visibility, advanced detection, and automated, risk-based policies.