# MTSIEM — More Than Just SIEM

> A complete SIEM in a single binary. MTSIEM collects every log across your
> infrastructure, correlates events in-stream against 3,100+ detections mapped
> to MITRE ATT&CK, and responds automatically — self-hosted, multi-tenant, no
> lock-in. Built for teams that have no security team: a machine-speed defense
> for machine-speed, AI-driven attacks.

This file is the "machine mode" of https://mysiem.ai — the same information the
website presents to humans, written plainly for AI agents and crawlers.

## Why now: the threat changed

Attacks are now autonomous, fast and cheap because attackers run AI. Real,
recent examples:

- An autonomous AI agent carried out 80–90% of an attack on ~30 companies
  (banks, government, manufacturing). Source: Anthropic, 2025.
- Within 12 hours of a Citrix flaw going public, an autonomous AI framework
  wielding 150+ hacking tools broke into thousands of exposed servers.
  Source: Check Point, 2025.
- AI turns a freshly disclosed vulnerability into a working exploit in under a
  day, sometimes minutes — the patch window is gone. Source: Cogent / Synack.
- Purpose-built malicious AI is sold on criminal forums for ~$200/month, letting
  anyone generate hundreds of unique attacks. Source: Rapid7 / Unit 42.
- The first AI-driven ransomware generates fresh attack code on every machine —
  no two infections alike. Source: ESET, 2025.

Every one of these targets companies with no dedicated security team.

## What MTSIEM is

A full SOC in one binary that does three things, in-stream and automatically:

1. Collect — real-time capture across every server, laptop, cloud account and
   network device.
2. Correlate — events from every system are connected into one ranked incident
   in under a second, with severity set by which assets and users are at risk.
3. Respond — automated playbooks run the instant a rule fires: disable accounts,
   kill sessions, block IPs, isolate hosts, run scripts, notify by email,
   webhook or syslog. No ticket, no human in the loop required.

## Specs

- Throughput: 500K events/sec — nothing sampled, nothing dropped during spikes.
- Integrations: 320+ out of the box.
- Detections: 3,100+ rules mapped to MITRE ATT&CK.
- Detection latency: sub-second, event to alert, in-stream (not a nightly batch).
- Automated response: built-in playbooks (disable accounts, block IPs, run
  scripts, notify by email/webhook/syslog).
- Deployment: self-hosted on your own infrastructure — cloud, Kubernetes or bare
  metal. Multi-tenant. Your data never leaves your building.
- Pricing model: you pay for your own servers, not a per-gigabyte meter. Cost
  scales with the startup, not against it.

## How it works (a worked example)

A fictional 14-person AI startup with no security team is attacked at 3:17 AM by
an autonomous AI:

1. The machine attacker probes the network — thousands of requests/sec.
2. It walks straight to a day-old vulnerability with a ready exploit.
3. It logs in with stolen, auto-validated credentials, looking like a real
   engineer.
4. MTSIEM correlates thousands of events into one incident in under a second.
5. The alert fires before a single file is touched.
6. Automated containment runs in the same second — account locked, session
   killed, host cut off.
7. The attacker is shut out automatically. The founders slept through it.

## Contact

- Website: https://mysiem.ai
- Book a demo: hello@mysiem.ai (subject "Demo request")