Simbian

Simbian delivers AI security agents that plan and execute SOC workflows autonomously, adapting their approach to each organization’s tools and processes.

Overview

Simbian’s agents are built to work like members of a security team rather than static automations. Given a goal — investigate this alert, hunt for this indicator, prepare this report — the agent plans its own steps, calls the organization’s security tools, and adapts when data does not match expectations. The platform integrates with SIEM, EDR, ticketing, and threat-intelligence systems, and its agents operate within guardrails defining what actions require human approval. Because the same agent framework covers triage, threat hunting, and reporting, teams can consolidate several point tools into one operating layer. Simbian emphasizes transparency, keeping an auditable log of every decision and API call an agent makes. The planning layer distinguishes Simbian from prompt-chained assistants: agents can revise their approach mid-investigation when evidence points in unexpected directions, much as a human analyst changes tack. Pilot programs typically begin with one workflow, then expand once measured accuracy earns the team’s confidence in agent judgment.

Key Features

• Goal-driven agents that plan their own investigative steps
• Broad integration with SIEM, EDR, ticketing, and threat intelligence
• Human-approval guardrails governing agent actions
• Auditable logs of every decision and API call
• Unified layer spanning triage, hunting, and reporting workflows
• Mid-investigation replanning when evidence contradicts initial hypotheses

Pricing

Simbian is sold through enterprise agreements based on agent coverage and environment complexity. Deployments include workflow design, integration, and a tuning period before agents run autonomously.

Who Is It For

Security organizations looking to consolidate tooling and automate analyst workflows without losing control, and teams that want agents adaptable to their processes rather than forcing process changes. It fits environments with diverse, well-instrumented security stacks where the bottleneck is human attention rather than available data. Teams with mature automation practices use the platform to standardize processes that previously lived in individual scripts.