--- title: "Building an AI-first SOC: Sumo Logic’s customer zero strategy" page_name: "Building an AI-first SOC: Sumo Logic’s customer zero strategy" type: "blog" slug: "building-ai-first-soc-customer-zero" published_at: "2026-07-16" modified_at: "2026-07-16" url: "https://www.sumologic.com/blog/building-ai-first-soc-customer-zero" canonical: "https://www.sumologic.com/blog/building-ai-first-soc-customer-zero" markdown_url: "https://www.sumologic.com/blog/building-ai-first-soc-customer-zero.md" lang: "en" excerpt: "Learn how Sumo Logic uses Dojo AI to secure its own SOC, and how those same AI capabilities help security teams automate investigations, reduce alert fatigue, and respond faster." taxonomy_blog_category: - "AI" - "DevSecOps" - "SecOps & Security" --- [ All blogs ](https://www.sumologic.com/blog "blog")[AI](https://www.sumologic.com/blog/ai), [DevSecOps](https://www.sumologic.com/blog/devsecops), [SecOps & Security](https://www.sumologic.com/blog/secops-security) # Building an AI-first SOC: Sumo Logic’s customer zero strategy [Tamara Bailey](#blog-author-block-346) July 16, 2026 3 min read [AI](https://www.sumologic.com/blog/ai), [DevSecOps](https://www.sumologic.com/blog/devsecops), [SecOps & Security](https://www.sumologic.com/blog/secops-security) ##### Table of contents Security teams have spent years trying to keep pace with an ever-growing threat landscape. But AI has fundamentally changed the equation. Today’s attackers don’t need deep technical expertise to launch sophisticated campaigns. With AI acting as a force multiplier, threat actors can orchestrate attacks at machine scale and speed. As Jeremy Powell, CISO of Sumo Logic, puts it, “Threat actors have almost state-level capability in their toolbox.” Security teams now have to defend against qualitatively different threats that leverage the same advanced technologies defenders are trying to adopt. And with threat actors moving at AI speed, security has to rethink how it operates. At Sumo Logic, we’re doing exactly that. We built [Dojo AI, our multi-agent AI platform ](https://www.sumologic.com/solutions/dojo-ai)to help security teams move at AI speed, and we use it ourselves every day. As customer zero, every AI capability is proven in our own SOC before it reaches customers. ## Sumo Logic operates as customer zero for our agentic AI capabilities Every AI capability we release is first deployed inside our own environment. The Sumo Logic Platform processes nearly seven exabytes of data daily, with our security operations tooling sitting atop that data to provide intelligent signal-to-noise ratio control through AI. New capabilities are rolled out through controlled gating mechanisms, providing direct feedback loops to product development. With this, our product organization touches production over 600 times per month, a level of agility that allows for rapid iteration and continuous improvement. ## Proven results after testing our own agentic platform There’s a clear, measurable impact of AI on security operations at Sumo Logic: **Automated first-line triage** We’ve eliminated human involvement in tier-one triage entirely. AI agents handle initial alert assessment, saving 20 to 30 hours per week per analyst, freeing them from repetitive work to do more critical tasks. **Accelerated resolution** From initial detection to resolution, we’ve achieved approximately 60% time savings across all event tiers, including the most complex tier-four incidents. **Human on the loop, not in the loop** Our security operations now function with humans providing oversight and quality assurance rather than being embedded in every step of the process. Analysts sample and validate rather than manually processing every alert. **Continuous adversarial testing** Our defensive agents are red-teamed by other agents in real time. As threat intelligence feeds update with new vectors and indicators of compromise, our adversarial agents automatically test our defenses at machine speed. This provides continuous validation of our security posture without waiting for scheduled penetration tests. ## Compliance becomes continuous AI has fundamentally changed how we approach compliance and audit functions. Traditionally, compliance operated as a series of snapshots: check the box, move on, repeat next year. But as investors, customers, and partners demand faster, more sophisticated assurance, this model breaks down. By treating auditors as a form of “threat actor” and audit requests as prompts for agentic functions, we’ve transformed compliance from a periodic burden into a continuous capability. Audit requests now trigger automated responses that query our telemetry in real time, overlay the appropriate framework, and deliver answers immediately. Instead of spending weeks gathering screenshots and logs, compliance teams can focus on helping customers, partners, and the business while dramatically shortening audit cycles. ## The data layer advantage What makes Sumo Logic’s AI capabilities fundamentally different from bolt-on solutions? [We own the data layer.](https://www.sumologic.com/blog/data-layer-ai-race-architecture-advantage) That native access to the data layer allows AI to correlate signals faster, reduce false positives, and deliver more meaningful insights than AI systems that sit on top of fragmented data sources. It also makes the platform dramatically easier to use. Rather than requiring users to master query languages or understand complex data structures, conversational AI allows them to interact naturally with the platform and uncover insights using plain language. Security analysts, compliance teams, and executives alike can ask questions and uncover insights without writing a single query. ## Why this matters for every organization The capabilities we’ve built aren’t just for companies operating at Sumo Logic’s scale. They represent the future of security operations for organizations of all sizes. As AI tools become more accessible, the competitive advantage shifts from who has AI to who uses it most effectively. The organizations that will thrive are those that: - Embrace AI as a force multiplier rather than a replacement for human judgment - Build feedback loops between security operations and product development - Treat security operations as an agile function rather than a static checklist - Empower teams with impossible tasks and the tools to accomplish them - Focus on mature decision-making rather than just execution speed ## See what’s next at Black Hat USA At [Black Hat USA](https://www.sumologic.com/events/black-hat), we’ll show how this customer zero approach is shaping the future of AI-powered security operations. Attendees will get a closer look at our new Dojo AI capabilities, including the [SOC Analyst Agent](https://www.sumologic.com/blog/soc-analyst-agent-for-soc-team), [Mobot, our conversational interface](https://www.sumologic.com/blog/mobot-your-log-analysis-partner), and other AI features designed to help security teams investigate faster, automate repetitive work, and interact with their data more naturally. If you’re attending [Black Hat, stop by Booth #5641](https://www.sumologic.com/events/black-hat) to see how Sumo Logic is putting AI into production to help organizations modernize security operations with confidence. [Listen to the full discussion on the Sumo Logic podcast.](https://www.sumologic.com/podcast?wchannelid=useophdpqn&wmediaid=76crg7wlem) ### Article Tags - [AI](https://www.sumologic.com/blog/ai) - [DevSecOps](https://www.sumologic.com/blog/devsecops) - [SecOps & Security](https://www.sumologic.com/blog/secops-security) Tamara Bailey Content Marketing Specialist Tamara is a content marketer focused on making technical topics engaging and easy to understand. She has several years of experience translating complex ideas into approachable content across blogs, social media, and other digital channels. Outside of work, you can find her spending time at the beach, sunbathing, with a good book in hand. 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