Simbian

Self-improving AI security agents for SOC, threat hunting, and pentest

Simbian is a Mountain View-based autonomous security operations platform that deploys AI agents across SOC alert triage, threat hunting, penetration testing, and network security — all sharing a single data layer called the Simbian Context Lake, and a shared reasoning engine so that a finding in one domain becomes intelligence in all others. Founded by Ambuj Kumar (also a co-founder of Rubrik), Simbian’s core differentiator is a “self-improving” loop: every alert investigation, hunt result, analyst correction, and pen test finding flows back into the Context Lake, making each subsequent operation sharper without requiring manual rule updates. The platform uses its proprietary TrustedLLM architecture — reasoning-first, with LLMs constrained to bounded tasks to prevent hallucination in verdict decisions. Simbian reports 92% autonomous alert resolution, a 15x customer base increase in 2025, and over 1 million security incidents processed on the platform in the past year.

Compliance

SOC 2

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Key Features

AI SOC Agent: Autonomously investigates, triages, and responds to 100% of alerts from SIEMs, XDRs, and other sources around the clock — with a reported 92% auto-resolution rate — using reasoning rather than predefined playbooks.
AI Threat Hunt Agent: Executes proactive threat hunt hypotheses end-to-end across Microsoft Sentinel, Splunk, EDR, cloud, and identity sources in parallel, covering months of historical data — compressing manual multi-day hunts into minutes.
AI Pentest Agent: Runs continuous offensive testing against the organization’s own environment, with findings feeding directly into the SOC Agent’s alert awareness and hunt priorities.
Simbian Context Lake: A shared intelligence layer that captures analyst feedback, investigation outcomes, hunt findings, and pentest results — making every agent’s future work more precise, and preserving institutional knowledge when analysts leave.
TrustedLLM architecture: A proprietary design that constrains LLMs to bounded tasks (enrichment, reporting) while keeping the core decision and reasoning logic deterministic and auditable — preventing hallucinations from affecting security verdicts.
Cross-agent coordination: When the SOC Agent detects an anomalous web app, it automatically tasks the Pentest Agent to test for fundamental weaknesses; when the Pentest Agent finds an exploitable asset, the SOC Agent verifies detection coverage — a closed-loop system no single-domain tool can match.

Use Cases

For enterprise SOCs covering 100% of alert volume: A security team processing thousands of daily alerts uses Simbian to achieve full investigation coverage autonomously, with analysts focused only on the findings Simbian escalates as malicious.
For MSSPs scaling across client portfolios: A managed security provider deploys Simbian across multiple client environments to scale analyst capacity — letting each analyst oversee more environments than a traditional MDR staffing model allows.
For teams wanting proactive, not just reactive, security: A security engineering team uses Simbian’s Threat Hunt Agent to run regular hypothesis-driven hunts across historical data, finding attacker dwell time that the alert queue never surfaces.

Pricing MODELS

Enterprise

Pricing Summary

Enterprise-only, custom-quoted pricing. No self-serve or published list pricing. The platform offers rapid deployment (hours) with reported ROI within one week of deployment.