Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If shadow IT was the SaaS era’s guilty pleasure, shadow AIT is GenAI’s sugar rush: unsanctioned AI models, tools, and autonomous agents quietly wired into business workflows—often without approvals, logging, or controls. It’s fast, it’s useful, and it can bite.

When we talk about emerging technologies and digitization, we often forget that while innovators work to bring the best security tools to market, malicious actors are concurrently working to identify loopholes and vulnerabilities in these new systems. Gone are the days when cyber attacks were a rare occasion; now, they happen almost daily.

Remember when we thought the application layer was where all the fun happened? Firewalls, WAFs, EDR, dashboards galore — the entire security industrial complex built around watching what apps do. Well, with “agentic AI” running the show, that middle ground is turning into a bypass lane. Instead of clicking through UIs or APIs, your AI buddy is making direct system calls, automating workflows at the OS and hardware level.

The question isn’t whether security information and event management (SIEM) is dead. The real question is whether the traditional model of SIEM still serves today’s defenders. Spoiler alert: it doesn’t. Born from compliance needs and static rules, first-generation SIEMs provided log collection and correlation but not context. They buried analysts in noise and left threat detection slow, brittle, and expensive. But that’s changing.

Spotting threats fast and knowing whether they really matter is the name of the game in cybersecurity. That’s where user and entity behavior analytics (UEBA) comes in, and why Sumo Logic’s latest innovation, historic baselining, is a big deal. With this release, Sumo Logic has turned the old UEBA model on its head, delivering insights that used to take weeks of learning time in just minutes. Here’s how and why that’s a game changer.

Hats off to the great work the community and industry has done regarding the “ToolShell” attack against Microsoft’s On-Premise SharePoint servers. The goal of this article is to build on that great work and help Sumo Logic customers with on-prem SharePoint servers investigate and identify evidence within their environments.

If you’re building AI systems with agents, plugins, and orchestration layers and you’re only thinking about how to route traffic, you’re halfway to being pwned. Everyone’s rushing to build a Model Context Protocol (MCP) — and that’s great. But almost no one’s talking about MoCoP — the Model Control Plane, which is just as important and arguably where the riskiest stuff happens. (Also, side note, who the hell keeps making these damn acronyms so confusing?

For organizations operating in the cloud, visibility is everything. You need a reliable source of truth to answer “who did what, when, and where,” whether you’re investigating a security incident, chasing compliance goals, or monitoring operational activity. Enter the Sumo Logic CloudTrail App, your go-to solution for transforming raw AWS CloudTrail logs into meaningful, actionable insights.

Welcome to the chaos. You’ve been told you need a SIEM. Maybe it was your CISO. Maybe it was your auditor. Maybe your SOC is tired of stitching together logs with duct tape and Python scripts. Doesn’t matter — you’re now on the SIEM buying journey. Congratulations… and condolences. Let’s walk through how to actually buy your first SIEM without lighting your budget (and your team’s morale) on fire.

Whether you rely on Sumo Logic for securing your systems, monitoring your infrastructure, or maximizing application performance, connecting to your tech stack is essential. That’s why we continuously release new apps and upgrade existing ones, ensuring you can easily connect to your stack and visualize key data with out-of-the-box dashboards. Let’s dive into some of the latest additions to our app catalog, designed to help you monitor, secure, and optimize your environment.