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The AI revolution has hit the SOC floor—but which models are actually 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.
The Benchmark That Changes Everything
The cybersecurity world is drowning in alerts while AI promises salvation. But until now, there's 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
Register now to be among the first to see these groundbreaking results and discover whether today's LLMs are truly ready for your SOC.