MTSIEM

More Than Just SIEM

The attacker now runs AI — autonomous, instant, relentless. Your defense has to run it too.

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The new threat

The way you get attacked just changed.

AI made attacks autonomous, fast and cheap — an exploit ready in hours, attack tools sold by subscription, ransomware that writes its own code, whole break-ins run by a machine. Every one aimed at a company that thought it was too small to be a target.

See how our system deals with it ↓

00A true-to-life story

A startup like yours

Fourteen people, one AI product everyone suddenly wants, and no security team. Basically you. Tonight it gets attacked — watch how it ends differently.

013:17 AM

The attacker is a machine

No one is awake when an autonomous AI starts probing the startup — thousands of requests a second, almost no human in the loop. Your defense is how many people, and which of them is awake at 3am?

A machine attack meets a machine defense: events stream off every server, laptop, cloud account and network device in real time, watched every second. No night shift required.

023:17 AM · +12s

It finds the door you left open

A vulnerability disclosed yesterday already has a working exploit, and the AI walks straight to it — faster than any patch cycle. How long until you even see the scan?

Every scan is caught in-stream the moment it lands. The pipeline sustains 500K events a second, so a burst of probes is matched as it arrives — nothing sampled, nothing dropped.

033:17 AM · +40s

It logs in as your developer

Stolen credentials, validated automatically — to every system the attacker now looks exactly like one of your own engineers. If that login is active in your systems right now, what notices?

Correlation flags the impossible move — a new location, an odd hour, a path no real user takes. 320+ integrations and 3,100+ MITRE ATT&CK detections ship out of the box, so the account is caught by behaviour, not just a password.

043:17 AM · +52s

Seen in under a second

Thousands of scattered events, one attack still in motion. How long does it take you to detect an incident — and can you prove the number?

Events from every system collapse into one ranked incident in under a second, correlated in-stream as they land — not a report you read in the morning.

053:18 AM

The alarm fires first

The alert is born before a single file is touched, its severity set by exactly which assets and users are at risk. In your last incident, how much was detection — and how much was waiting for a human?

The wait is gone: alerts are scored by the assets and users actually at risk, grouped into incidents automatically, and handed straight to a response playbook.

063:18 AM · same second

The platform strikes back

No ticket. No human at the keyboard. The instant the rule fires, the response runs — how fast can your tools act entirely on their own?

Containment fires automatically the moment the rule trips — playbooks lock the account, kill the session, cut off the host, block IPs and run your own scripts.

073:18 AM · over

Locked out. Nobody woke up.

The attacker is shut out automatically, and the founders slept through the whole thing — the SOC ran without them. How big a team does that take?

None. Self-hosted and multi-tenant, the whole platform runs on your own cloud, Kubernetes or bare metal — your data never leaves your walls.

CloudKubernetesBare metal
Monthly cost ($)
CompetitorsOur system

Their costs grow. Ours doesn't.

You pay for your own servers, not a per-gigabyte meter. Security that scales with the startup, not against it.

You will be attacked
by a machine.

Maybe tonight, at 3am, with no one awake. Make sure something is.

500K events/sec320+ integrations3,100+ detectionsMITRE ATT&CKAutomated responseSelf-hosted