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Simbian

Autonomous AI security agents plus a unified Context Lake to accelerate SecOps and eliminate missed alerts.
8.4
Rating
Custom
Price
8
Key Features

Overview

Simbian provides an autonomous SecOps platform built around AI Agents (AI SOC Agent, AI Threat Hunt Agent, AI Pentest Agent, AI GRC Agent) that detect, reason, and act across an enterprise security stack. Central to the product is the Simbian Context Lake™, a unified knowledge graph that fuses telemetry, adversary behavior, asset context, ticket history, and tribal knowledge into a single source of truth. Agents use LLMs, planning modules, memory graphs, toolchains, and action policies to triage, investigate, respond to alerts, automate threat hunts, run continuous pentesting, and handle compliance and security questionnaires — with plug-and-play integrations to 70+ tools. The platform can be offered SaaS or on-premises and emphasizes rapid deployment, transparent step-by-step reasoning, continuous learning, and enterprise-scale automation aimed at reducing MTTR and alert fatigue.

Details

Developer
simbian.ai
Launch Year
Free Trial
No
Updated
2025-12-07

Features

Context Lake

A unified knowledge graph that fuses telemetry, asset intelligence, ticket history, adversary behavior, and organizational data so agents can make context-aware decisions.

AI SOC Agent

Autonomous triage, investigation, and response across SIEMs/XDRs, prioritizing and resolving alerts without requiring pre-defined playbooks.

AI Threat Hunt Agent

Automates validation and scaling of hunting hypotheses across historical telemetry and integrated data sources.

AI Pentest Agent

Continuous, automated penetration testing to reveal exploitable weaknesses and guide remediation efforts.

AI GRC Agent

Automates compliance responses, security questionnaires, and audit workflows to reduce manual effort.

Broad Integrations

70+ native connectors plus on-demand custom connector development for proprietary tools and APIs.

Screenshots

Simbian Screenshot
Simbian Screenshot
Simbian Screenshot

Pros & Cons

Pros

  • Autonomous 24/7 investigation and response across SIEM/XDR sources.
  • Context Lake provides unified organizational context for more accurate decisions.
  • 70+ built-in connectors with on-demand custom integration capabilities.
  • Designed for rapid deployment (hours/days) and claims rapid ROI.
  • Transparent reasoning and continuous learning; analysts can steer actions.

Cons

  • No public pricing or self-serve plans listed; likely enterprise sales process.
  • Limited public documentation or community links discovered.
  • Launch year and some corporate details not publicly listed on site.

Compare with Alternatives

FeatureSimbianRadiant SecurityBricklayer AI
PricingN/AN/AN/A
Rating8.4/108.4/108.3/10
Agent BreadthYesPartialYes
Context Lake DepthUnified deep Context LakeComprehensive security data lakeKnowledge retention and lightweight store
Investigation AutomationYesYesYes
Pentest & GRCYesNoNo
No-code OrchestrationNoNoYes
AI ExplainabilityPartialYesYes
Deployment FlexibilityYesPartialPartial
Integration SurfaceBroad integrationsBroad integrationsIntegrations and plugins

Audience

Security TeamsReduce alert fatigue and automate triage, investigation, and response across security tooling.
SOC AnalystsShift analysts to higher-value tasks by automating routine investigations and response actions.
Security EngineersIntegrate a context-aware agent platform via APIs and connectors to scale detection and remediation.
Compliance/GRC TeamsAutomate security questionnaires, audits, and compliance workflows to save time and increase accuracy.

Tags

AI in cybersecurityAutonomous SecOpsAI SOC AgentContext LakeThreat huntingPentest automationGRC automationintegrations