Security that gets better at beating your enemy, every run.

You set the objective. Simbian defends it across every tool you already run, marks its own work against that objective, and gets better at it every run. It has already fought thousands of AI attacks inside a war lab we built for the purpose.

In production across 300+ enterprise environments

eBook

Security for Winners

Webinar

The LLM Security Test

Research

Cyber Defense Benchmark

What “self-improving” actually means.

Designed to think, not just follow.

It handles alerts it has never seen before. No playbook required. Simbian reasons through it, and the investigation continues when reality goes off-script.

SOAR breaks on anything the playbook did not anticipate.

Every case teaches the next one.

When a pattern recurs, Simbian writes the proposed improvement itself and submits it for approval. A human approves before anything is applied.

Organization-wide persistent memory.

One model of your company: your assets and what each is worth, your identities and who they belong to, your processes, your runbooks, and every decision your team has already made. Built from your real data, it deepens with every case, and it stays yours.

See how the Context Lake works

We manufacture the training data ourselves.

Defense has no natural training set, so we build one. One AI attacks a company we invented, another defends, and we author both sides, which is why we know which action actually stopped it.

A model pointed at your SIEM was never trained to defend.

One alert improves four parts of your security.

A real threat gets a response, a tightened detection, and a closed path, and a false positive gets tuned down for good. When alerts cluster on one application, Simbian launches a pentest, and the proven exploit becomes a detection rule, a WAF rule that protects the path immediately, a network firewall rule, and the patch ticket.

It all starts in the war lab.

Simbian has already fought attacks no one has seen. Before it ever sees your environment it has been attacked and defended thousands of times, inside a company we built for the purpose.

We build a company, then attack it.

Defensive training data does not exist in nature, so we manufacture it. We build a synthetic company with its own people, machines, and daily traffic, then set two AIs fighting over it.

Red attacksBlue defendsWe author both sides

Then you choose the enemy to defeat.

Nobody buys defense in the abstract. Name the thing you cannot afford to lose.

First, Simbian learns your ground. No integration project.

Finds your stack

Maps your tools and what each one can tell it.

Asks for access

Only what the objective requires.

Reads your past work

Your tickets and closed investigations.

Finds your SOPs

Your runbooks, in plain English.

Then Simbian starts working.

Then Simbian marks its own work, and improves itself.

you choose which runs

[ 01 ] It watches

Every sensor you already run.

EDR, SIEM, XDR, cloud, identity. Not just the alerts they raise, because an alert is a signal rather than a verdict, and the absence of one is not safety.

An objective at full marks does not get to drift.

It moves into a regression suite and is re-tested continuously, so improvement in one place cannot quietly cost you something in another.

There is no fixed schedule.

How often an objective is re-checked follows the work rather than a calendar. Something it is confident about is checked rarely, something it is unsure of is checked constantly, and you can ask it to check now.

Everything specific to you lives in the Context Lake.

The war lab teaches general defensive skill. What makes that defense yours is the memory Simbian builds of your environment — organization-wide, built from your real data, and it stays in your tenant.

Explore the Context Lake →

Self-Improving Defense compounds into MITRE ATT&CK coverage.

CYCLE 1
CYCLE 2
CYCLE 3
Initial Access
T1.11
T1.12
T1.13
T1.14
T1.15
T1.16
Execution
T1.21
T1.22
T1.23
T1.24
T1.25
T1.26
Persistence
T1.31
T1.32
T1.33
T1.34
T1.35
T1.36
Privilege Escalation
T1.41
T1.42
T1.43
T1.44
T1.45
T1.46
Defense Evasion
T1.51
T1.52
T1.53
T1.54
T1.55
T1.56
Credential Access
T1.61
T1.62
T1.63
T1.64
T1.65
T1.66
Discovery
T1.71
T1.72
T1.73
T1.74
T1.75
T1.76
Lateral Movement
T1.81
T1.82
T1.83
T1.84
T1.85
T1.86
Collection
T1.91
T1.92
T1.93
T1.94
T1.95
T1.96
Command & Control
T1.101
T1.102
T1.103
T1.104
T1.105
T1.106
Exfiltration
T1.111
T1.112
T1.113
T1.114
T1.115
T1.116

Swipe the grid to see all 11 tactics →

Covered
Uncovered
How Simbian achieves this
CYCLE 1
33% COVERED

Cycle 1: First campaign run.

We test six techniques. A hunt finds three already in your logs. Two of the six are detected. Three new detections ship, and one is tuned.

CYCLE 2
56% COVERED

Cycle 2: The rules from cycle 1 are live.

We retest the original six plus three new techniques, and five of nine are now detected, with zero false positives. Four more rules ship.

CYCLE 3
83% COVERED

Cycle 3: Red runs evasion variants.

Obfuscated payloads, exactly what breaks a rule written too narrowly. The rules hold. Ten of twelve are detected. Two remaining gaps close in the same cycle.

Frequently asked questions

Simbian is one product that investigates every alert to a verdict, acts in the tools you already own, and improves continuously. It reads from more than 100 of your existing security and enterprise tools and acts back into 25 or more of them, running on top of the stack you already have. It is in production across 300+ enterprise environments.
Self-improving defense is a system that gets better at defending without anyone rewriting its rules. Simbian 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, a war lab where we author both the attack and the defense, and the context it builds from your own environment.
No. Your telemetry never enters the war lab, and your context is read at run time and never absorbed into any model's weights. Simbian uses in-context learning, so nothing is fine-tuned into a model. When the product falls short of what your team would have done, what returns to us is a shortfall report. A bug report is not your data, and neither is this.
No. Every action passes through a gate, and every action can require approval before it runs. You lift gates one action type at a time, on your own schedule. 95% of the actions Simbian proposes are approved by the customer's own team. That is their call, not ours.
No. Those tools keep doing what they are good at. Simbian is the layer that decides what to do on top of them, with no data migration, no new lake, and no re-tuning your detection stack first. Your existing tools become more valuable, because something finally acts on what they produce.
An AI SOC tool automates work inside one discipline that was drawn on an org chart twenty years ago. Simbian takes an objective, decides for itself what to put on the problem, and then measures whether it achieved it. Investigating alerts to a verdict is one of the things it does rather than the boundary of what it is. Self-improving defense is the category; the SOC is one of the places it shows up.
Because defensive training data does not exist in nature. Offensive work grades itself, since either you got in or you did not. Defensive work has no answer key: the attacker's goal is never stated, abandoned paths leave no record, and nothing labels which defensive action actually mattered. So we manufacture it. We build a synthetic company, have one AI attack it while another defends, and because we authored both sides we know the goal, every path tried including the dead ends, and which action worked. Your telemetry never enters the lab.
Hand over credentials for the tools you already run and a description of how your team works. Simbian discovers your stack itself, works out which permissions your objective requires and asks for exactly those, reads your ITSM tickets, and finds your SOPs in whatever form they exist. There is no integration project, no data migration, no new sensors to deploy, and nothing handed to your engineering team.
Enterprise security teams who need coverage without adding headcount, and the MSSPs and MDR providers who run many customers with one team. The same product serves both, with the same objectives model and the same war lab behind it, and learning kept separate customer by customer.
Your assets and what each one is worth, your identities, your processes and runbooks, and the decisions your team has already made. It is built from your real data, it deepens with every case, and it stays in your tenant. Nothing is absorbed into model weights, because Simbian reads your context at run time rather than fine-tuning on it. See how the Context Lake works →
Every improvement is a proposal. Simbian shows you the change it wants to make to its own skills and the evidence behind it, and you approve before anything is applied. When enough improvements accumulate it produces a new version of itself rather than quietly replacing the one you are running, and you decide which version keeps working. Two classes of action stay gated permanently: anything that touches an employee, and anything destructive and hard to reverse.

What Our Customers Say

Simbian's AI Agents consistently deliver precise and accurate responses, significantly easing our workload. What used to take days now takes minutes, and we're thrilled with how seamlessly it integrates into our existing processes. It's not just about saving time; it's about maintaining the highest standards of security and accuracy, which is exactly what Simbian enables us to do.
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Matillion
Suchit Mishra
Director of Information Security
Security is a domain of ever-increasing complexity. Every day a security incident brings new variables. Simbian is building a fully autonomous security platform. We are excited to partner with them as it allows us to be strategic in our security goals, leaving mechanics of security to Simbian.
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Axelar
Sergey Gorbunov
Co-founder
Security partners, especially MSSPs and MDRs, are at a critical juncture. Attacks are getting accelerated with AI. We must use AI on defense side too. We have gotten great support from Simbian with its fully autonomous security. It allows us to do more with less, directly impacting both our top and bottom lines.
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Cybalt
Khirodra Mishra
CEO
Simbian's platform takes a straightforward approach to solving core problems we see every day in the SOC. The power in the platform, their AI agents, is in its simplicity. They are not adding steps and processes to achieve results. The Security Accelerator platform drives efficiency without sacrificing efficacy. It allows us to shift the role of the analyst; to give them the time to use human insight, because well trained AI that we can review, and audit, is immensely powerful. It sets a whole new bar for security operations.
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SMT
Mohammad Qasas
SOC Lead
Simbian's AI agents augment and automate many security services resulting into better efficiencies and increased precision.
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Wipro
Siva VRS
Vice President
What Simbian's doing in that space has really been a differentiator and a game changer for how my team's thinking about these problems. We're no longer thinking about a pipeline of work that we've got to have 20 people to solve.
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Bottomline
Blaine Brennecke
Director of Security Operations

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