AI SOC + Humans: Team Up Like Never Before!
Over 100 top cybersecurity professionals put our AI SOC Agents through rigorous testing, investigating hundreds of security alerts across the full attack kill chain. The test environment mirrored real-world conditions:
90% false positives that typically consume analyst time.
10% true positives requiring expert investigation.
Complete simulation of ransomware and data exfiltration attacks.
High-pressure, 24-hour continuous operation.
Seamless collaboration between human expertise and AI efficiency.
While the AI tackled the grunt work, analysts focused on understanding attacker behavior and its real-world business impact.
Championship Results: Human Expertise + AI Power
Our AI SOC Agent started with a modest 59/100 baseline score, while the human champions reached an impressive 86.
When we activated the AI's “extra effort mode“, unlocking advanced capabilities, it achieved a remarkable 72-outperforming 95% of the 100+ human participants.
Human champions showcased unmatched creativity and analytical skill:
- Team Freddy-Beach won gold for innovative use of Simbian's Context Lake Feature.
- Team NInJa took silver for connecting diverse security events with sharp problem-solving.
- Ahmad earned bronze for exceptional individual analytical talent.
Yet the competition's true revelation wasn't about machines replacing humans. The standout insight was that tomorrow's cybersecurity excellence will emerge from teams that strategically blend human intuition-with its creativity and contextual judgment-alongside AI's tireless precision and pattern recognition.
The future belongs not to humans or machines alone, but to those who master their strategic integration.
Evolving SOC: From Alert Responders to Security Architects
How to use AI to enhance SecOps?Click to see magic
- Can you list out the top priority security alerts and discard others?
Far from rendering human analysts obsolete, Simbian’s platform redefined its value proposition. Participants transitioned from spending 80% of their time on manual data correlation to focusing on:
Strategic Threat Hunting: Proactively identifying network vulnerabilities rather than reacting to alerts
Stakeholder Communication: Crafting executive briefings and remediation plans
Contextual Analysis: Applying institutional knowledge about industry-specific attack patterns
Takahisa Yutoku noted: “The AI handled the technical forensics, which let me concentrate on what really matters—protecting critical assets and guiding business leadership.”
This shift mirrors broader industry trends where AI adoption increases demand for analysts skilled in threat interpretation and risk management.
Hear from Our Participants
There’s power behind the engine with the AGENTIC model; the actions were great: entering alerts, following suggested steps from the mock action requester. I loved seeing those in action.
Nick Phelan
Cybersecurity Product Manager, Xcential Tech, Ex-IBM
The tool's really good; this feels like the next generation of SOAR. It's exactly what we need in the cybersecurity world. The kind of growth in defense we've been waiting for.
Ahmad Rifai
Security Operation Engineer at Cybalt
What I found most helpful was that each alert came with a predefined verdict—either false positive or true positive—and the AI’s ability to suggest investigative actions helped guide the process efficiently. The product also strongly emphasizes GUI-based investigation, making it easy to conduct analyses through intuitive visual interactions.
Shota Kizukuri
Cyber Defense Lead, NEC Corporation
The great thing I see in the AI agent is that whatever I’m asking, I’m getting – it lets me stay in control while speeding the investigation. It was a great experience; it was making our job easy by giving instructions to the AI agent and getting the output instantly.
Sudeep Bhagat
Cyber Defence and SOC Lead, Black Box
I believe AI is best used as a tool by humans; it can sift through thousands of entries in milliseconds while we provide the reasoning. Following the suspicious-activity highlights let us solve problems faster; the AI gave really deep insights into each activity.
Atticus D’Mello
Cybersecurity Expert & Security Researcher
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