simbian.ai valid

Simbian

Simbian is the Self-Improving Defense platform. We deploy autonomous AI Agents that share one Context Lake, so every pentest finding becomes a detection, every triaged alert teaches the next agent, and security coverage compounds with use instead of decaying between audits.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T21:31:27.240Z. Cached copy · Source on simbian.ai

# Simbian

> Simbian is the Self-Improving Defense platform. We deploy autonomous AI Agents that share one Context Lake, so every pentest finding becomes a detection, every triaged alert teaches the next agent, and security coverage compounds with use instead of decaying between audits.

Simbian's AI Agents work across the full offensive and defensive security lifecycle: alert triage and incident response, continuous penetration testing, proactive threat hunting, and network SecOps. The platform integrates with existing security tools (SIEM, EDR, SOAR, IdP, ticketing) and operates autonomously inside governed boundaries — making decisions, taking actions, and closing alerts without requiring constant human intervention.

Unlike SOAR (static playbooks you have to maintain) or SOC copilots (suggest only; humans still click), Simbian agents act inside a governed boundary, write every action back to the Context Lake, and the next cycle starts smarter. In a typical 90-day window, MITRE ATT&CK technique coverage moves from roughly 33% to 83% — about 50 new attacker techniques covered without adding a single analyst.

Simbian is in production across 300+ enterprise environments, including six of the Fortune 500 and the world's largest MSSPs/MDRs looking to scale security operations, reduce analyst burnout, and cut mean time to respond (MTTR). 95% of the actions Simbian proposes are approved by the customer's own team.

## Self-Improving Defense

Self-improving defense is a system that gets better at defending without anyone rewriting its rules. It is not running a script Simbian shipped: it writes its own skills and its own code, chooses which tool to query and when, and decides which API to call at which moment. It improves from two inputs. The first is a war lab, where Simbian builds a synthetic company with its own people, machines, and daily traffic, then has one AI attack it while another defends; because Simbian authors both sides it knows the attacker's goal, every path tried including the dead ends, and which defensive action actually worked. That is training data nobody can collect from the real world, and customer telemetry never enters it. The second input is the Context Lake, everything specific to one customer: assets and what each is worth, identities and who they belong to, processes and runbooks, and the decisions already made. Simbian uses in-context learning, so customer data is read at run time and never absorbed into any model's weights. Every action passes through a gate and can require approval before it runs.

- [Self-Improving Defense overview](https://simbian.ai/self-improving-defense): The category narrative — the two queues, the war lab where the defense is trained, the Context Lake that makes it yours, and the MITRE coverage curve that compounds.
- [Context Lake](https://simbian.ai/self-improving-defense/context-lake): The shared memory every Simbian Agent reads from and writes back to — four layers (assets, identities, proce
…

Related sites

Explore similar publishers →

Category suggestions: other listed sites in AI and machine learning. These share a category. See the whole category →

Machine-readable: GET /v1/resolve?q=simbian.ai · GET /v1/domain/simbian.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for simbian.ai:
1. POST https://agentwebmap.com/v1/sites/simbian.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://simbian.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/simbian.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/simbian.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.