Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Falcon Data Protection AI-Powered Anomaly Detections: Demo Drill Down

Sensitive data handling often risks accidental exposure. CrowdStrike Falcon Data Protection, part of the powerful CrowdStrike Falcon platform, uses AI-driven anomaly detection to prevent unauthorized data transfers. In this demo, see how quickly Falcon identifies and blocks an attempted transfer of customer PII to a personal Google Drive, generating real-time alerts to help security teams act fast.

What is active directory and why is it on an attackers radar?

In the past year, 85% of organizations have experienced an Active Directory attack. To strengthen your security posture and defend your AD, you need to what attackers are looking for. In this video,'s experts give you an insight into what exactly is Active Directory and what makes it such a lucrative target for cyber attackers.

Netskope One Advanced SSE for Microsoft Entra

Netskope One Advanced SSE for Microsoft Entra combines Netskope and Microsoft into a unified experience that enables the next generation of SSE. The combination of Netskope and Microsoft delivers flexibility with security to make secure access and advanced protection simple and accessible for Microsoft Entra customers.

Step 3. How to automatically validate AI-generated Fuzz Tests

After generating fuzz tests with LLMs, the next important step is verifying that these tests are of high quality and ensuring they run and work as intended. CI Fuzz can now automatically build the generated fuzz test, run it, and perform a health check to assess its quality and refine it further if it doesn't pass the health check. Watch the video to see it in action.

DSPM vs DLP: Unraveling the Differences

In this episode of Into the Breach, James Purvis and Drew Russell discuss the key differences between Data Loss Prevention (DLP) and Data Security Posture Management (DSPM). Drew explains that while DLP focuses on perimeter security, DSPM secures data at rest, offering a more proactive approach. Using a clever analogy, Drew illustrates how DSPM prevents issues before they occur, unlike DLP's reactive measures. They conclude by highlighting how both can work together to enhance data security.