
Trusted by leading enterprises and MSSPs
When AI Attacks, LLMs Alone Won't Protect
Armed with an LLM, anyone can now execute nation-state grade attacks in minutes for just pennies. How will your organization respond?
- Your SecOps team is too slow. Even the best SecOps team can't process and respond to alerts at the speed of AI — and they're already overwhelmed.
- Legacy automation gives up. Your playbooks and SOAR platform are helpless against a threat they've never seen before.
- LLMs fail at defense. Across 14 frontier LLMs on Simbian Research's Cyber Defense Benchmark, the best caught fewer than half of all attacks — every other model did worse.
Simbian SecOps Platform
Simbian is the first SecOps platform built to outpace the new threats of AI-driven attacks, while also automating your existing security operations.
AI Agents that Decide and Defend
AI SOC Agent
Automatically investigate and respond to 100% of alerts with reasoning-based responses. Self-improving with every investigation AI SOC Agent is built to stop AI-powered attacks in seconds.

AI Threat Hunt Agent
Accelerate your threat hunts by automating the validation of your hunt hypotheses. Hunt broad, and deep into history using Simbian's rich ecosystem of integrations.

AI Pentest Agent
Continuous, on-demand pentesting that makes your environment stronger with every test. Automated pentest agent validates exploit paths and simulates a real attacker based on your organization's context.

AI NetSecOps Agent
The Simbian NetSecOps Agent is an automated AI system that manages firewall operations and network security 24/7, handling tasks like policy changes, threat blocking, and incident prevention without human intervention.

Built by Security Team for Security Teams
Context Lake
Reasoning Engine
TrustedLLM™
Multi Agent Architecture
The Self-Improving Intelligence Layer
Your organization's living brain. Context Lake captures four layers of knowledge — Tribal Knowledge, Operational Procedures, Entity Intelligence, and Continuous Learning from every investigation and human feedback loop.

The Self-Improving Intelligence Layer
Your organization's living brain. Context Lake captures four layers of knowledge — Tribal Knowledge, Operational Procedures, Entity Intelligence, and Continuous Learning from every investigation and human feedback loop.

No Playbooks. No Rules. No Templates.
Simbian's Reasoning Engine delivers reasoning-based, threat-agnostic defense — hardened through millions of repetitions in the Cyber AI Gym. Always a step ahead of adversaries' AI capabilities.

Resistant Against Prompt Injection, Data Poisoning, Model Poisoning, and Other Adversarial AI Attacks.
Built from millions of real-world samples of LLM exploitation. Verifiable architecture rejects hallucinated data. Customer data is never used to train models.

Agents That Work Together:
- SOC Agent spots a hot entity → kicks off Threat Hunt to find threats not yet alerted.
- Pentest Agent finds a vulnerable asset → SOC Agent verifies detection coverage.
- Pentest Agent exploits an unpatched vulnerability → SOC Agent automatically investigates the trigger.
- SOC Agent finds a web app in multiple alerts → Pentest Agent runs a fundamental weakness check → NetSecOps Agent handles all network and firewall operations, aiding your SecOps to function as one.

Why Simbian?
Simbian's AI Security Agents empower, not replace, your security analysts, automating alert triage, threat hunts, and penetration tests, so your team can focus on what matters most, 24/7.
Simbian powers some of the world's largest SOC teams. Simbian Agents are deployed in days and demonstrate ROI within the first week.
Simbian's offensive and defensive AI Agents work across SOC, threat hunt, and pentest in a continuous loop. Every attack makes your environment stronger, smarter, and more secure.
Simbian captures your unique security context — tribal knowledge, security findings, and analyst feedback — then uses that context with a continuous reinforcement learning loop to generate precision response that improves with every interaction.






