With new multi-agent AI workflows and enhanced Sme AI copilot, Gurucul’s Next-Gen SIEM empowers the entire SecOps team with autonomous automation to effectively manage and optimize data, prioritize and auto-triage real threats reducing investigation time by 58% and automated responses to evolving threats
Gurucul, a recognized leader in data and security analytics, has announced a significant leap in the evolution of Security Information and Event Management (SIEM) with the introduction of its Self-Driving SIEM. This breakthrough is powered by robust AI advancements and a redesigned, AI-centric user interface, delivering seamless execution across threat detection, investigation, response, and threat hunting workflows through its Unified Data and Security Analytics Platform—REVEAL.
By embedding multiple agentic AI capabilities throughout the entire threat lifecycle, Gurucul’s platform automates traditionally time-consuming and complex processes. This transformation enables security teams to shift their focus to strategic, high-value tasks, while the AI handles repetitive, operational activities—effectively creating a self-driving SIEM environment that enhances analyst productivity and operational efficiency.
AI-Driven Enhancements Across the Security Lifecycle
Intelligent Data Pipeline Management
Building upon the capabilities of its native Data Optimizer, which already delivers over 40% in cost savings, Gurucul introduces AI agents that autonomously discover, classify, normalize, and filter data. These smart agents further streamline data management, onboarding, and tuning, while also reducing storage and processing demands—empowering organizations to maintain a lean, optimized security data fabric.
Proactive Detection Engineering with AI Insight
The platform’s AI agents continuously monitor for emerging attack chains, using real-time analysis to generate new detection models, signatures, and rules. They also refine existing machine learning models and suggest additional data sources, unlocking new detection use cases automatically and dynamically—enabling faster, more precise threat recognition.
AI-Augmented Analyst Workflows
Gurucul’s virtual AI analyst delivers expert-level support to security teams, enriching investigations with deep contextual insights. It automatically triages alerts, provides blast radius assessments, aligns detection with up to 98% of the MITRE ATT&CK framework, and integrates external threat intelligence. The AI adapts to user behavior and analyst feedback, creating a learning loop that improves detection accuracy and incident resolution over time. With built-in natural language processing (NLP), analysts gain access to accelerated search, an on-demand Sme AI copilot, and streamlined incident report generation.
Adaptive Response Automation
The platform’s AI-powered orchestration engine dynamically adjusts playbooks in real-time, ensuring every response is tailored to the unique context of each threat. This adaptive approach enables faster, more precise mitigation actions, without relying on manual intervention.
Sme AI Copilot – Supercharged Generative AI Support
Initially launched in August 2023, Gurucul’s generative AI-powered Sme AI Copilot now features expanded promptbooks, improved NLP-based search capabilities, and enhanced incident analysis tools. These advancements help reduce investigation time, deliver comprehensive insights, and streamline incident reporting—empowering analysts to act quickly and confidently.
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Customer Testimonials Highlight Real-World Impact
Neda Pitt, CISO, BELK, said: “This is yet another reason why I chose to replace my legacy SIEM with the Gurucul platform. Even before these AI enhancements, the platform outperformed any other SIEM I’ve encountered. Now, with these agentic AI capabilities, I’m glad I made the bet on the future of the industry. Gurucul is paving the path toward the autonomous SOC. My analysts have upleveled their productivity and I can’t wait for them to get to the next level with AI removing the busy work.”
Steward Alpert, CISO and CTO, Hornblower, shared: “Gurucul has redefined what I expect from an AI-powered Next-Gen SIEM. It operates as a true force multiplier for my SOC — prioritized alerts, high efficacy detections deeply aligned to our threat posture and proactive responses. Another capability that truly stands apart is in its risk-based approach to identity: the precision with which they score and surface risky users has become a cornerstone of our insider threat program.”
Jason Elmore, CEO, Tuearis Cyber, added: “As an MSSP we are always looking for ways to maximize value for our customers while optimizing the workflows for our analysts and reducing costs. We picked Gurucul because they provide a truly differentiated platform that not only helped reduce our data management costs leveraging Snowflake but also helped us stay ahead of the threat landscape with advanced detection capabilities. It’s innovations like these new agentic AI capabilities that validate our decision to switch to Gurucul. They continue to offer modernization that increases value delivery for our customers while maximizing the output of our SOC.”
A Vision for the Future of Autonomous Security Operations
Saryu Nayyar, CEO of Gurucul, concluded: “Alert overload, the sophistication of threats and operational bottlenecks are some of the most pressing challenges in security operations today. We have built a small army of Agentic AI agents that go to work for you across the entire data and threat lifecycle boosting analyst workflows to address these critical pain points. We are flipping the idea of the resource intensive traditional SIEM on its head to optimize SecOps resources and reduce time spent on data management, detection engineering, false positives, triage, investigation and response. We’re continuing to disrupt the status quo, set the bar high, and solve real customer problems. These ground-breaking advancements with purpose-built AI use cases are helping SOC teams do their critical work efficiently with swift responses against modern threats.”
