Monarch Cybersecurity AI Pricing — Free, Pro & Enterprise Plans

A flat run-rate, not a usage meter. Continuous security should not get more expensive the more you use it.

Free

via Alias Robotics

Free

  • Individual research use
  • Open-source alias model
  • Community support
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Most popular

Pro

S$640/month

S$7,300/year, per agent

  • Privacy-first commercial license
  • Unlimited model tokens and updates
  • Multi-platform parallel agents
  • GDPR & NIS2 aligned
  • Dedicated support
  • Managed cloud, private cloud, or air-gapped on-premise
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On-Prem

from S$200,000/year

  • Government and enterprise scale
  • Custom fine-tuning
  • Custom data-sovereignty terms
  • Air-gapped audit logging
Request a briefing

Why flat-rate

ModelCostProblem
Pay-per-token AI~S$10,000/mo per agentCosts scale with usage
Per-assessmentS$8-10,000 per assessmentPoint-in-time, fixed scope
Human-onlyS$11,375/mo per headLinear scaling
Monarch ProS$640/mo per agentFlat — scale without scaling invoices

~17x lower run-rate than pay-per-token, viable at 24/7 continuous operation.

What's included in every plan

Every Monarch deployment — free, Pro or on-premise — ships with the full sovereign stack. The tiers differ in scale, support and deployment model, not in the platform's core capability.

Sovereign local model — the compact model that solves 25/33 Cybench on a single machine
Governance runtime — policy enforcement under 2ms on every action, local models included
Identity layer — every action bound to an accountable actor, non-repudiable audit trail
Full Cybench benchmark results — every category published, including honest edges
MITRE ATT&CK mapping — all detections mapped to the framework
Offline threat intelligence — URLhaus, ThreatFox, MalwareBazaar, Feodo and IOC feeds

ROI comparison

At S$640/month per agent, a single Monarch agent running 24/7 replaces the equivalent of approximately S$11,375/month in human analyst cost — a reduction of more than 17x. Unlike pay-per-token AI services that scale cost with usage, Monarch's flat rate means continuous operation becomes cheaper the more you use it. An agent that runs an autonomous red-team engagement costing US$109 delivers coverage that would take a human team US$17,218 and 40+ hours to replicate — at 156x lower cost and 11x faster. For organisations that need 24/7 coverage across growing attack surfaces, the economics of autonomous agents make continuous security viable for the first time.

Sources: Mayoral-Vilches et al. (arXiv:2504.06017); Fortinet 2025 Skills Gap; ISC2 2025 Workforce Study.

Frequently asked questions

Is there a free trial?

The free tier is available permanently via Alias Robotics under an open-source licence. It provides the sovereign model for individual research use with community support. No credit card, no time limit.

What does per-agent mean?

An agent is a single autonomous instance running continuous security operations — red teaming, blue teaming, detection, or a combination. You pay per agent, not per user, per query or per token. Each agent runs 24/7 with unlimited model usage.

Can I switch between cloud and on-prem?

Yes. The platform capability is identical across managed cloud, private cloud and air-gapped on-premise. You can start on managed cloud and migrate to on-prem as requirements evolve — engagement memory, skill libraries and governance policies transfer with the deployment.

Do you offer volume discounts?

Enterprise and government buyers running multiple agents or multi-site deployments should request a briefing — volume pricing, multi-year terms and custom data-sovereignty agreements are available.

Talk to us about the deployment that fits your posture.

Request a briefing