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On this episode of Masters of Data, we tackle security for growing enterprises: past small business status but not quite full-scale yet. The challenge? Building effective programs with limited resources while balancing people, processes, and tools.
On this episode of Masters of Data, we sit down with Beth Glowacki to explore Sumo Logic's app catalog and how it actually works in practice. Apps serve as your launch pad: pre-built integrations, dashboards, and automated alerts for various data sources right out of the box.
On this episode of Masters of Data, we tackle breaking into cybersecurity. David shares his journey from welder to AppSec manager, proving that career pivots are tough but doable.
On this episode of Masters of Data, we're joined by Eric Avery, Sumo Logic's head of infrastructure and data, to break down data pipeline management: efficiently moving massive data volumes from multiple sources to one usable location.
On this episode of Masters of Data, we break down incident response from detection through containment, forensics, recovery, and postmortem. The foundation? Comprehensive logging. Without it, you're blind.
On this episode of Masters of Data, we sit down with Cassandra Mooseberger, Manager of Security Compliance at Sumo Logic, to unpack governance, risk, and compliance (GRC). Cass breaks down her three-pillar framework: governance and compliance, risk management, and trust. She reveals how GRC teams can flip from cost center to sales enabler through trust pages, automated questionnaires, and proactive support.
In this episode of Masters of Data, we tackle why cybersecurity professionals burn out, and it's not just long hours. We explore how repetitive tasks, limited growth, and work that feels invisible drain security teams who face constant vigilance with few wins and no finish line.
On this episode of Masters of Data, we unpack David's new white paper on AI governance for agentic systems. He explains model context protocol (MCP) as "APIs for agents", how AI systems talk and execute tasks. The catch? Autonomous agents are insider threats that move fast and cause serious damage. David introduces the Model Control Plane (MoCop), a twelve-pillar framework designed to prevent your AI from going rogue. We cover his roadmap for security leaders to build real controls and telemetry. His advice: treat agents like interns with root access. Get ahead of this before your agents do.
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