Simbian

What Simbian does

Simbian is building the first self-improving SecOps Platform designed to enable enterprises to shift from maintenance-intensive rules-based security to a reasoning platform. It leverages a family of AI Agents that act as virtual members of the security team, utilizing Simbian’s proprietary TrustedLLM™ architecture and Context Lake™ technology. This allows for the automation of complex security operations with human-level reasoning, machine-level speed, and enterprise-specific precision. The platform is built to outpace AI-driven attacks and automate existing security operations, transforming them into a dynamic, self-improving system. Simbian's AI agents for SOC, pentest, threat hunting, and NetSecOps reason against the same Context Lake and Reasoning Engine, ensuring that findings in one area become intelligence everywhere. The product continuously improves in production through the Cyber AI Gym, which retrains the reasoning engine against real attack telemetry and verifiable rewards.

Products

• Simbian SecOps PlatformThe first SecOps platform built to outpace the new threats of AI-driven attacks, while also automating existing security operations. It features a single substrate for all agents, no integration seams, continuous improvement through training signals, and continuous retraining via the Cyber AI Gym.
• AI SOC AgentAutomatically investigates and responds to 100% of alerts with reasoning-based responses. It is self-improving with every investigation and built to stop AI-powered attacks in seconds. It investigates, triages, and responds to threats 24/7 with reasoning, not rules, and integrates with 100+ tools.
• AI Threat Hunt AgentAccelerates threat hunts by automating the validation of hunt hypotheses. It allows for broad and deep historical hunts using Simbian's rich ecosystem of integrations and organizational context from the Context Lake. It identifies evidence, queries data sources, and searches across enterprise security data lakes.
• AI Pentest AgentProvides continuous, on-demand pentesting that strengthens the environment with every test. It automates exploit path validation and simulates real attackers based on an organization's context. It transforms point-in-time compliance checks into continuous, automated security testing, specific to context and wired into the SOC.
• AI NetSecOps AgentAn 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. It aims to reduce outages, respond to threats, and learn from incidents.

Key capabilities

• Self-improving SecOps platform
• Proprietary TrustedLLM™ architecture
• Context Lake™ technology
• Multi-Agent Architecture
• Reasoning Engine
• Cyber AI Gym for continuous retraining
• Automated investigation and response for alerts
• Automated threat hunting
• Continuous, on-demand pentesting
• Automated network security operations
• Integration with 100+ security and enterprise tools
• Resistant against prompt injection, data poisoning, model poisoning, and other adversarial AI attacks
• Transparent, reasoned decisions with auditable actions
• Deployment flexibility (SaaS, on-premises, hybrid)
• Federated reasoning across integrated tools
• Automated resolution of 92% of alerts
• Fast Mean Time To Respond (MTTR) of under 15 minutes
• Multi-tenant platform for MSSPs and MDRs
• AI Attack Resilience Maturity Model (AI ARMM) framework
• Automated Amazon GuardDuty finding triage and response
• Automated Cisco Secure threat triage and response
• Automated CrowdStrike Falcon alert triage and endpoint response
• Automated ITSM queue monitoring
• Automated alert triage & validation
• Automated VPN tunnel status check
• Intelligent investigation of blocked and allowed traffic patterns
• Automated VPN authentication analysis
• Automated BGP flap issue resolution
• Patch applicability review
• Certificate management and expiry monitoring
• Firewall backup verification
• High availability checks
• Capacity forecasting for firewalls
• Automated firewall policy management
• IOC-based blocking
• Initial incident classification
• Endpoint containment actions
• Dynamic threat-based rules
• Privileged user creation with audit trails

Use cases

• Stopping AI-driven attacks
• Automating security operations
• Investigating and responding to security alerts
• Accelerating threat hunts
• Continuous security testing and vulnerability identification
• Managing firewall operations and network security
• Reducing alert fatigue in SOC teams
• Improving security posture against AI-powered threats
• Scaling MSSP and MDR practices
• Automating cloud threat detection and response (e.g., AWS GuardDuty)
• Automating network threat detection and response (e.g., Cisco Secure)
• Automating endpoint threat detection and response (e.g., CrowdStrike Falcon)
• Automating Tier-1/Tier-2 SOC work
• Proactive threat hunting for stealthy adversary behavior
• Automating policy changes and incident prevention in network security
• Ensuring compliance in regulated environments
• Hardening new systems and applications
• Responding to ransomware attacks
• Managing security for distributed operations and acquisitions

AI approach

Simbian builds a self-improving SecOps platform using AI agents (SOC, Pentest, Threat Hunt, NetSecOps) that leverage a proprietary TrustedLLM™ architecture and Context Lake™ technology. These agents automate complex security operations with human-level reasoning, machine-level speed, and enterprise-specific precision. The platform is designed to outpace AI-driven attacks by continuously learning from interactions and real attack telemetry in a 'Cyber AI Gym'. It emphasizes reasoning-based defense over rules or playbooks and is resistant to adversarial AI attacks like prompt injection and data poisoning. Customer data is explicitly stated as not being used to train models.

Tech named: TrustedLLM™, Context Lake™, Reasoning Engine, Multi Agent Architecture, Cyber AI Gym, LLM, AI Agents, Reinforcement Learning

Industries served

• Computer and Network Security
• Financial Services
• Utilities
• Industrial Services
• Managed Security Service Providers (MSSPs)
• Managed Detection and Response (MDRs)

What it says sets it apart

• First self-improving SecOps platform
• Built to outpace AI-driven attacks
• Proprietary TrustedLLM™ architecture and Context Lake™ technology
• AI Agents act as virtual members of the security team with human-level reasoning and machine-level speed
• No playbooks, no rules, no templates - reasoning-based defense
• Product improves in production through continuous learning and retraining (Cyber AI Gym)
• Protected by 10+ patents
• Agents work together, sharing intelligence through the Context Lake
• Resistant against adversarial AI attacks (prompt injection, data poisoning, model poisoning)
• Integrates with 100+ existing security and enterprise tools without replacement
• Achieves 92% automated resolution and 5x cost savings with ROI within weeks
• Multi-tenant platform designed for MSSP/MDR margins, enabling analysts to cover 200-300% more clients
• Provides transparent, reasoned decisions with auditable actions for regulated environments
• Offers continuous, on-demand pentesting at a lower cost than traditional methods
• Focuses on defense that compounds, with every action feeding shared intelligence
• Automates the full cloud and network threat lifecycle from connection to response
• Provides specific remediation guidance with identified vulnerabilities
• Offers a proprietary AI Attack Resilience Maturity Model (AI ARMM) framework