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By Michelle Beastall
Security and operations teams are collecting more telemetry than ever, and AI is accelerating that curve. IDC projects the world will generate 393.9 zettabytes of data in 2028, up from 149 zettabytes in 2024, with AI and machine learning workloads driving much of that growth. That growth forces a hard trade-off. Ingest everything, and you pay for it. Filter aggressively, and you risk missing the signal that matters.
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By Margaret Selid
If you’ve spent any time digging for insights in logs, you know the shape of the problem. A single log line might contain an IP address, a status code, a response time, and a user ID, but it’s all buried in one long, unstructured string. You know the information is there. Getting it into a field you can filter, group, or chart on is a different matter.
“AI-ready” is everywhere right now, attached to nearly every product in every category. The catchy label rarely means anything specific, just as additional questions are warranted when vendors claim to be “AI-native”. After fighting through all the marketing jargon, there needs to be a standard, not a slogan. And the definition changes depending on what the data is for. AI-ready for a data warehouse and AI-ready for live operational telemetry are not the same problem.
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By Margaret Selid
We’ve recently shown how Mobot, Sumo Logic’s AI assistant, has evolved from a search assistant into a true thinking partner, introducing natural language to log analysis and monitors. Today, we’re bringing that same conversational reasoning to one of the most powerful parts of the platform: playbooks in Automation Service. Historically, playbook authoring has been a highly manual process that required deep organizational and Sumo Logic platform knowledge.
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By Margaret Selid
The new Mobot is a conversational AI assistant that helps teams explore and understand their data using natural language. We’re now extending those same capabilities to one of the most time-consuming tasks in observability: creating and configuring monitors.
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By Colin Fernandes
Moving to the cloud is one of the most consequential decisions an IT organization makes. A successful cloud migration strategy sets the foundation for how your business scales, innovates, and competes. But too often, cloud migration initiatives stall, underperform, or force organizations to repatriate applications back on-premises because the groundwork wasn’t laid correctly.
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By Margaret Selid
AI is changing how teams work. Developers are generating code faster, security teams are automating investigations, and employees across the business are using AI tools to accelerate research, content creation, and decision-making. But this adoption comes with a catch. As usage explodes, it introduces a new set of security risks: a rapidly expanding attack surface, faster attack timelines, potential data exposure, and an alarming lack of visibility into how these tools are being used.
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By Margaret Selid
Every single day, the Sumo Logic Platform analyzes more than four exabytes of log data. The good news? The answers to your application performance, infrastructure health, and security incidents are hidden in those logs. The challenge? Historically, uncovering those answers required query language fluency. That’s why we built Mobot, our conversational interface that connects users to advanced AI capabilities using natural language.
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By David Girvin
When people talk about trusting AI, they usually focus on the interface. It summarizes and uses confident language with a level of clarity that feels reliable. But that’s all window dressing. None of it builds trust. Trust doesn’t come from what the AI says. A verifiable record of what the AI did makes it trustworthy.
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By Duane DeCapite
Sumo Logic’s log analytics capabilities have always provided the greatest insights to help you secure, monitor and troubleshoot your environment. Now, with our Query Agent, as part of Dojo AI, creating optimized log searches with natural language is even easier. Query Agent works with a wide variety of operators, including the join operator, for parsing, aggregation, data transformation, filtering, advanced analysis and lookup.
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By Sumo Logic, Inc.
On this episode of Masters of Data, we dig into what happens when AI actually delivers on its promise to eliminate busywork, and explore why removing the toil doesn't feel like the win everyone expected. We make the case that repetitive tasks build the intuition, pattern recognition, and muscle memory people need to do the harder work well. Security and engineering leaders rethinking how much triage and busywork to hand off to AI will find plenty to chew on here, especially anyone staring down a task list where every single item feels like the hardest one.
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By Sumo Logic, Inc.
On this episode of Masters of Data, we sat down with Patrick Kobly, who runs security for a boutique MSSP serving fintech, crypto, and gaming clients, to dig into how phishing has evolved past the obvious tells. Kobly walks through how attackers spin up reverse proxies behind Cloudflare, route through residential IPs to dodge reputation-based blocking, and can take a fake domain from registration to full attack in under five hours. The conversation turns into an unexpected case for treating SEO as a security discipline, since search rank and AI-generated results are now part of the attack surface too.
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By Sumo Logic, Inc.
This video provides an overview of Macros in Sumo Logic and how they can be used in search queries. It also introduces nested Macros and Macros with arguments, with examples of how Macros can be incorporated into searches.
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By Sumo Logic, Inc.
This video demonstrates how to use Mobot to investigate issues, interpret its findings, and identify recommended next steps. Follow along as Mobot responds to a prompt by understanding your intent, gathering relevant data, performing multi-step analysis, reasoning across data sources, surfacing insights, and recommending next steps.
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By Sumo Logic, Inc.
This video introduces Mobot, an AI-powered chat assistant built into Sumo Logic, and provides an overview of its key capabilities, the AI features that power it, alongside the Unified Conversational Interface. It gives you a foundation for understanding how Mobot can support and accelerate investigative workflows.
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By Sumo Logic, Inc.
This video introduces Sumo Logic's SOC Analyst Agent, an AI-powered tool within the Dojo AI platform designed to transform security operations centers.
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By Sumo Logic, Inc.
Learn about the Sumo Logic MCP Server -- allowing the use of Sumo Logic data and functionality in conjunction with your AI-driven tools (such as Claude Code or Github Copilot) to support agentic AI workflows for your organization.
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By Sumo Logic, Inc.
Join us as Sunil teaches how Sumo Logic is advancing observability with OpenTelemetry, AI, and automated investigations to help teams gain insights and resolve issues faster.
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By Sumo Logic, Inc.
On this episode of Masters of Data, we unpack what it actually means to expect AI to be the primary interface for everything we do. We dig into the pull toward centralizing work in a single hub like Claude versus staying spread across specialized tools like Slack, Asana and Zoom, and where the line sits between helpful automation and letting an agent speak on your behalf. We also get into the "chief of staff" agent workflow for daily roundups and why specialized, best-of-breed tools aren't going anywhere, even as hubs get smarter.
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By Sumo Logic, Inc.
On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.
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By Sumo Logic
Security information and event management (SIEM) solutions have been around since 2000, and they were developed with the goal of helping organizations in the early detection of targeted attacks and data breaches.
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By Sumo Logic
SIEM stands for Security Information and Event Management and these solutions have been around since 2000. They were developed with the goal of helping organizations in the early detection of targeted attacks and data breaches.
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By Sumo Logic
In this paper we will discuss some of the general philosophies and perspectives that will assist anyone who wants to securely leverage the benefits the cloud by using its strengths to overcome issues that have traditionally been labeled as weaknesses.
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By Sumo Logic
Enterprises of all sizes are facing an information technology crisis. Ironically, this crisis comes at a time when the power of IT has never been stronger, thus presenting both an opportunity and a challenge.
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By Sumo Logic
It is essential to have a machine data analytics platform that can support logs, metrics and events. It is even more important to have machine data analytics platform as a service that eliminates additional burden of managing the management system.
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By Sumo Logic
This white paper describes the technologies and processes used by Sumo Logic to secure customer data, and provides background on the company's deeply ingrained security culture.
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By Sumo Logic
This white paper is intended to support stakeholders movement of applications to the cloud, and provide some fundamental approaches to adopt in order to better protect every layer of the AWS infrastructure.
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By Sumo Logic
Building an ELK Stack can be expensive and requires lot of time and resources to make it production ready. This technical paper will highlight the efforts involved in building an ELK Stack.
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By Sumo Logic
The AWS Cloud is no longer the future of information technology infrastructure, but rather a present day reality. As data growth continues to expand, organizations around the world are avoiding building, and in some cases, actively closing down, on-premises datacenters as paying for the total cost of ownership for such environments is becoming an unwieldy, or at the very least inefficient, use of capital. This trend can be observed with the increasingly rapid adoption of cloud services over recent years.
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By Sumo Logic
Sumo Logic commissioned 451 Research to conduct a research study to better understand the potential of machine data. Is machine data in fact an important source of fuel in the analytics economy? Do businesses recognize the role machine data can play in driving business intelligence? Are businesses that recognize the power of machine data leaders in their field?
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Empowering the People Who Power Modern Business. A Cloud-native Machine Data Analytics Platform for DevSecOps.
Sumo Logic is a secure, cloud-native, machine data analytics service, delivering real-time, continuous intelligence from structured, semi-structured and unstructured data across the entire application lifecycle and stack.
Build, run and secure your AWS, Azure, Google Cloud Platform or Hybrid applications with Sumo Logic, a cloud-native, machine data analytics service for log management and time series metrics.
- Optimize Continuous Delivery: Accelerate development, testing, & deployment of your application.
- Monitor & Troubleshoot in Real Time: Enable DevOps to proactively identify and fix performance issues.
- Secure Your Platform: Detect, investigate and respond to security issues instantly.
- Simplify Compliance Management: Ensure compliance with HIPAA, PCI, GDPR and much more.
One platform for real-time, Continuous Intelligence.