Gurucul Unveils 'Self-Driving' SIEM to Supercharge Security Operations with Agentic AI

Gurucul is flipping the script on traditional security operations, announcing a sweeping set of AI-driven upgrades that reimagine its Unified Data and Security Analytics Platform, REVEAL, as a "self-driving" SIEM system.

Powered by a new constellation of multi-agent AI workflows and an enhanced generative AI copilot, Gurucul’s latest release sharply targets the operational bottlenecks that have long plagued Security Operations Centers (SOCs). The company's approach uses autonomous agents to optimize every phase of threat management — from data ingestion to detection engineering, triage, investigation, and adaptive response — offering the promise of radical efficiency gains and 58% faster investigation times.

Self-Driving, Autonomous SecOps

Central to Gurucul’s overhaul is the integration of Agentic AI throughout its platform. These agents now automate pipeline management, dynamically detect and model evolving attack chains, triage alerts with context-rich insights, and even adapt incident responses in real time based on shifting threat conditions. Combined with an AI-centric user interface, the platform positions itself not just as an analyst tool, but as an autonomous digital co-worker.

"Alert overload, the sophistication of threats, and operational bottlenecks are some of the most pressing challenges in security operations today," said Saryu Nayyar, CEO of Gurucul.

"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."

Gurucul’s self-optimizing data pipeline also received major upgrades, with AI agents now

autonomously discovering, classifying, and filtering incoming data streams — reducing storage demands and minimizing costly manual tuning. Detection engineering, long a laborious task for security teams, is now increasingly automated as well, with machine learning models and rules being dynamically generated based on real-world attack patterns.

AI That Thinks Like an Analyst

The new version of Gurucul’s platform offers a virtual AI analyst that not only triages alerts but enriches them with blast radius analysis, MITRE ATT&CK framework alignment, and real-time external threat intelligence. Analysts can interact with this system using natural language queries to accelerate investigations and generate detailed incident reports in minutes instead of hours.

Stewart Alpert, CISO and CTO of Hornblower, praised the impact on his SOC’s effectiveness. "Gurucul has redefined what I expect from an AI-powered Next-Gen SIEM," he said. "It operates as a true force multiplier — prioritized alerts, high efficacy detections deeply aligned to our threat posture, and proactive responses."

Meanwhile, Gurucul’s AI-driven orchestration engine adapts playbooks on the fly, dynamically adjusting response strategies based on the specifics of each unfolding incident — an innovation that sets it apart from rigid automation frameworks commonly seen elsewhere in the market.

Scaling Smarter, Not Harder

For managed security service providers (MSSPs), the automation potential is particularly attractive. Jason Elmore, CEO of Tuearis Cyber, said Gurucul’s platform "helped reduce our data management costs leveraging Snowflake but also helped us stay ahead of the threat landscape with advanced detection capabilities."

The enhancements also build on Gurucul’s previously introduced Sme AI copilot, expanding its natural language capabilities and adding faster investigative tools and deeper incident analysis features.

Setting the Stage at RSAC 2025

Gurucul plans to showcase its new capabilities live at RSAC 2025 in San Francisco, starting April 28. For those unable to attend, CTO Nilesh Dherange will offer a live demo and Q&A session on May 14.

Neda Pitt, CISO at BELK, captured the strategic significance of the move: "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."

The Future of SIEM?

By embedding multi-agent intelligence across every operational layer, Gurucul isn’t just offering another next-gen SIEM — it's staking a claim on what the future of autonomous cybersecurity could look like: fewer alerts, faster investigations, smarter responses, and engineers liberated from the grind of manual data wrangling.

With version 12.4 already available since December 2024, Gurucul’s AI-infused REVEAL platform aims to set a new high-water mark for what security operations can achieve with the right mix of automation, machine learning, and human expertise.