Data is the lifeblood of cybersecurity—but it’s only valuable if you can actually use it. Too often, organizations are drowning in logs and alerts, stuck manually trying to extract value from data that should already be working for them. The problem isn’t lack of data. It’s the lack of automation.
Parsing raw logs is one of the most tedious, resource-intensive processes in the SOC. Every new data source requires custom scripts, regex rules, and weeks of analyst time. Multiply that by dozens of log formats — CSV, JSON, CEF, syslog — and you’ve got a full-blown parsing predicament. It’s not just inefficient; it’s unsustainable in the face of growing data volumes, insider threats, and a crushing cybersecurity skills gap.
Security teams are expected to move faster than ever, with fewer hands on deck. That’s why automating data onboarding and normalization isn’t a nice-to-have — it’s mission-critical. Legacy SIEM platforms force teams to spend weeks prepping data instead of analyzing it. And that delay can be costly.
A breach detected within 30 days costs far less to contain than one that goes unnoticed for months. But with traditional SIEM setups, the data needed to catch those threats isn’t even onboarded yet. That’s a failure of infrastructure—and it’s one Gurucul’s AI SIEM was built to solve.
Gurucul’s REVEAL data and security analytics platform applies cutting-edge AI (Artificial Intelligence) to crush data prep timelines and accelerate cybersecurity threat detection. Our self-driving SIEM pipeline doesn’t just move data—it understands it.
Here’s how we do it:
Why It Matters: Faster parsing = faster detection. Faster detection = lower breach costs. Gurucul’s AI SIEM pipeline delivers measurable outcomes, shrinking your breach exposure window and freeing up analysts to focus on what they do best: stopping threats — including insider threats that often hide in plain sight.
Despite all the real-time automation, Gurucul understands that customization matters. Need to add custom attributes or extend schemas? You can. Want to self-deploy? Data Harmonizer buffering is ready in under an hour. Need to scale? We support MSSPs with a multi-tenant-ready design.
You’ve already invested in tools. Gurucul REVEAL is how you make them work together to get radical clarity into your cyber risk. From ingestion to insight in minutes—this is cybersecurity threat detection done right, at the speed the modern threat landscape demands.
Gurucul’s SIEM automates data ingestion, parsing, normalization, and analysis using Agentic AI and Generative AI. It doesn’t just collect data—it interprets and operationalizes it, eliminating the manual work typically required to get a SIEM up and running.
By accelerating log onboarding and automating parsing, Gurucul enables earlier AI cybersecurity threat detection visibility into security events—reducing dwell time and allowing analysts to detect and respond to threats, including insider threats, much faster.
Agentic AI handles the initial ingestion process, recognizing and routing disparate log types without custom configuration. It streamlines the front-end of the data pipeline so analysts can focus on higher-value tasks.
Absolutely. Gurucul offers 48–72 hour turnaround for custom connectors, supports extended schemas, and provides full flexibility for MSSPs and enterprise environments that need tailored integrations.
