On-Demand Webinar
Are LLMs Ready for the SOC? A Deep Dive into the First LLM Benchmark for AI SOC
The AI revolution has hit the SOC floor—but which models are delivering results? Finally, we have data, not just opinions.
For the first time, you'll see benchmark results that matter to SOC teams—not theoretical capabilities, but actual performance across full investigation lifecycles.
Varun Anand
Head of Product (AI SOC)
Igor Kozlov
AI/ML Lead, Simbian
The Benchmark That Changes Everything
The cybersecurity world is drowning in alerts while AI promises salvation. However, until now, there has been zero objective data on which LLMs can handle the investigative heavy lifting in your SOC end-to-end. We built a realistic enterprise environment and executed 100 diverse full kill chain attack scenarios, each coupled by an alert. Then, we made a Simbian AI Agent powered by today’s top models, such as OpenAI, Anthropic, Google, and DeepSeek, and investigated them from the initial alert to the evidence-based investigation report.
What You'll Take Away
Learn about an objective way to measure AI SOC alert investigation performance
Practical findings of LLMs capabilities for fully autonomous SOC alert investigation
Lessons on the capabilities of AI Agents leveraging top-tier LLMs to perform SOC Analyst tasks
Data-driven recommendations on how to combine human expertise with AI capabilities for optimal results