Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Latest Videos

Adopting a cloud first strategy for modernizing security operations

In this session, Scott Crawford, Research Director with 451 Research, a part of S&P Global Market Intelligence, highlights research on how enterprises are responding to digital transformation. In addition, Girish Bhat, VP with Sumo Logic offers insights for security practitioners on how a ‘cloud first’ approach supports digital transformation, IT rebuild projects and application modernization.

Cloud SIEM: Modernize Security Operations and your Cyber Defense

Scott Crawford, Research Director of Information Security at 451 Research, a part of S&P Global Market Intelligence, joined by Greg Market, Vice President and General Manager of Security at Sumo Logic, discuss the increased adoption of cloud as a deployment model for SIEM. Cloud SIEM and various forms of deployment has become a significant factor for enterprises according to survey-based research at 451 Research.

Secure Your Cloud Transformation with Continuous Intelligence

CrowdStrike and Sumo Logic work together to identify security threats and defend against IOCs in a hybrid environment. Customers gain knowledge on adversaries which may be targeting their assets and organisation via strategic, operational and technical reporting and alerts. During this session, we’ll hear from Australian private health provider, NIB, on how Sumo Logic and CrowdStrike have worked together to help NIB secure its digital transformation and cloud environment.

Building your modern SIEM, Unique security requirements for cloud and modern technologies

Digital transformation has changed the attack surface, and organizations are generating more data than ever before. What does this mean from a security standpoint? Attend this session and hear more about what makes a modern SaaS SIEM solution and why it’s critical for detecting threats across your hybrid and multi-cloud infrastructures. Finally, we’ll explore what tomorrow’s SIEM might look like.