Cloud-based Minecraft anticheat

Stop cheaters before the hit lands.

Venus scores combat in the cloud with models that learn from your own server, so detection keeps up with new clients without adding load to your main thread.

Why Venus

Built to run on real servers.

Detection that is hard to bypass and easy to manage.

Learns from your server

Models train on verified clean players and staff feedback instead of relying only on fixed thresholds that cheats are tuned to avoid.

Active mitigation

Suspicious combat is cancelled before damage is applied, not just logged afterwards.

Light on your server

The heavy work happens in the cloud, so your main thread keeps its tick time.

Staff dashboard

Live telemetry, player history, violation logs and punishments in one place.

False positive reports

Staff can report a bad flag and the models update so it is not repeated.

Credits and auto-renew

Top up a wallet and let subscriptions renew every 30, 90 or 365 days so protection never lapses.

Pricing

Pick a plan.

Every plan includes the full cloud suite. Pick the size that fits your player base.

Small

For smaller communities.

$10 / month
  • Up to 50 players online
  • 3 server instances at once
  • All anti-cheat checks
  • ML & cloud analysis
Choose Small
Base Popular

For established servers.

$25 / month
  • Up to 300 players online
  • Up to 5 server instances at once
  • All anti-cheat checks
  • ML & cloud analysis
  • Priority Discord support
Choose Base
Large

For a larger player base.

$40 / month
  • Up to 600 players online
  • Unlimited server instances at once
  • All anti-cheat checks
  • ML & cloud analysis
  • Dedicated support
Choose Large
FAQ

Common questions.

How do I get started?

Pick a plan, subscribe from the dashboard and activate your license there. Your server is protected as soon as it is activated.

What happens when a subscription expires?

If auto-renewal is on and your account has enough credit, the license renews without interruption. Otherwise it is suspended until you renew.

How are false positives handled?

Detections are confirmed over several samples before action is taken. When staff report an edge case, the models update straight away.