Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Rethinking data governance and global compliance

Across Europe and beyond, regulatory frameworks are reshaping how and where organizations manage data. These laws establish enforceable standards for data sovereignty, data governance, and data privacy that directly influence cloud architecture, security strategy, and AI innovation. Without these regulations, you run the risk of these organizational consequences: Data management shouldn’t be considered as only a task for IT. It’s a board-level priority.

Ep 30: What is data pipeline management, and why does it matter for security?

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. We explore how pipelines fuel analytics and AI, the role of data transformation, and where OpenTelemetry fits in. Eric shares insights from processing 3.5 exabytes daily and how AI has reignited excitement around data. We also cover pipeline security, the shift from data lakes to AI-powered platforms, and practical digital security tips.

Customer Insights with Clark Pichon, Security Operations Center Manager

In this video, Clark Pichon, Security Operations Center Manager, shares how they're leveling up security operations with the help of AI and automation. From building queries faster using Dojo AI to cutting down time-to-detection and closing alerts more efficiently with SIEM automation, see how these tools are helping the team work smarter and respond faster than ever before.

Ep 29: From detection to post-mortem: The complete incident cycle

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. We explore building cross-functional teams and a blame-free culture where people actually report issues. Communication is key: what you tell engineering isn't what you tell executives or customers. AI is accelerating investigations, but the fundamentals still rule: proper tool access, the right people on call, and translating technical chaos into business-speak. The takeaway?

Ep 28: Stop being the 'no' department: How modern GRC enables growth

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. We explore practical strategies for working with engineering: listen first, understand before changing, and skip the "rip and replace" impulse.

Ep 27: 2026 Security operations insights

On this episode of Masters of Data, we dive into our 2026 Intelligent Security Operations report. While 90% of 500+ security leaders see AI/ML cutting alert fatigue, actual implementation remains stuck at basic anomaly detection—not the full automation everyone wants. The gap is real: only 51% say their SIEM effectively reduces detection and response times, exposing serious maturity issues. Add rampant tool sprawl (most orgs run 3-10+ security tools that don't communicate), and you've got an integration nightmare. We explore how Model Control Protocol and AI agents could solve this, but here's the truth.

Sumo Logic's 2026 Security Operations Insights report: AI, siloed tools, and team alignment

Security threats have always been expanding and evolving, but recent data shows that modern applications are more complex for security and operations than ever before. And AI is only a piece of that puzzle. To stay on top of the changing market and hear directly from security leaders on what’s really top of mind, Sumo Logic surveyed over 500 security leaders with the help of UserEvidence. We asked about data pipelines, tool sprawl, confidence in SIEM, and, of course, AI.

UEBAenabled SIEM use cases: Stopping insider threats before they strike

Insider threats remain one of the most challenging security risks organizations face. Unlike external attackers who must breach perimeters, insiders already possess legitimate access to critical systems and data. They understand security controls, know where valuable assets reside, and can operate under the radar of traditional rule-based detection systems for extended periods.

New Databricks and Snowflake apps strengthen cloud data security and data pipeline visibility

If you’re like most companies we work with, you’re awash in opportunities (and a bit overwhelmed with pressure) to adopt AI. Of course, integrating new technologies means more data to manage and systems to monitor.