The cybersecurity backbone of the autonomous economy
Sovereign by design · IT · OT · Robotics · Human-in-the-loop
The inflection
By 2028, AI will run cybersecurity — with humans governing rather than executing. Security-AI agents raised their solve rate on specialised benchmarks by more than 50% in six months. The teams that adopt now set the terms; the rest inherit them.
Gartner Top-8 Cybersecurity Predictions, corroborated by peer-reviewed research (Alias Robotics, 2025–26).
Human-led security can't keep pace
3M
Unfilled cyber roles, APAC
US$5M
Avg breach cost, APAC
2.5 mo
Mean recovery time
Attack surfaces are exploding — IoT, OT, robotics and AI multiply entry points faster than teams can secure them. Point-in-time, manual approaches can't match the scale, complexity and speed now required.
Sources: Fortinet 2025 Skills Gap · ISC2 2025 Workforce Study · IBM Cost of a Data Breach 2024–25.
An agentic platform, sovereign end to end
A security model reasons about a threat. It doesn't run a security programme — it forgets yesterday, has no authority to act on live systems, and can't prove who did what.
The platform is what surrounds the model — five layers, all sovereign, all on your infrastructure:
Intelligence
A #1-ranked cybersecurity LLM that does authorized security work instead of refusing it.
Orchestration
Specialised agents that execute offence and defence end to end.
Memory
Persistent recall and a reusable skill library, so the platform compounds with every engagement.
Governance
Every action policy-enforced in under 2ms, local models included, no exceptions.
Identity
Every action bound to an accountable actor, non-repudiable end to end.
Remove any layer and the agents stop being trustworthy on live infrastructure.
Explore the on-premise security LLM and sovereign stack →What it does
Validate
Continuous autonomous red and blue teaming — a live loop, not an annual snapshot. Finds and proves exploitable paths before attackers do, and remembers what it found.
Detect & Respond
ML detection under 10ms, ingestion from your existing SIEM and sensors, automated response that revokes exactly the compromised identity — and logs it.
Govern & Comply
Every AI action policy-enforced and attributable; 126 controls across ISO 27001, SOC 2, PCI DSS, GDPR/NIS2, NIST CSF and OWASP, with CWE-mapped, audit-ready evidence.
The proof
11×
Faster than expert human teams
156×
Cheaper (US$109 vs US$17,218)
#1
On Cybench vs every frontier model
~0
Refusals on authorized security tasks
We publish every category — including the two where deep-math challenges still favour human experts on speed. Credible proof includes the honest edges.
Source: Mayoral-Vilches et al. (arXiv:2504.06017).
Why Monarch stands apart
Nearly every commercial security-AI offering proxies your prompts to US- or China-based foundation models — exporting your sensitive data and your security know-how with every query.
Monarch runs its own specialised model, its own memory, its own governance and its own identity layer — all on your infrastructure, with zero data export. Built in Europe, tuned in Singapore. PDPA, GDPR, NIS2 and EU AI Act aligned.
Sovereign is not a feature here. It is the architecture — in every layer.
Learn about air-gapped AI deployment →Validate, detect, respond, govern. Sovereign by design.
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