Sovereign AI

Sovereign AI. Secured and governed.

Full control over your AI. Enable it, secure it, govern it and manage its risk, on-premises, air-gapped or in sovereign cloud.

ZySec AI builds sovereign AI platforms, and the defences around them, for governments, defence and regulated industries.

Scroll

Running today with

  • ADI Foundation
  • DDSC
  • Apeiro Holding
  • Oxinus Holdings
  • SAIF, an IHC platform
  • Coredge
  • ESAL Tech
  • Best Emerging AI Company 2025 · ANI
  • GISEC Global 2026
  • Accepted at CIKM 2026
  • NeurIPS 2026 workshop
  • AICTA 2026
  • ISO 27001 certified
  • Cited by Cisco Foundation AI and Yale
  • Live in the UAE, India and Africa

Before we go further

What brings you here today?

Choose one, and we'll show you what matters to you and skip what doesn't.

Enable AI

Defend with AI

The sovereign stack · products by layer

One sovereign AI stack. Every product is a layer.

OpenETL and ThreatMap bring every signal in. RelataDB remembers and Token Factory reasons. Autonous, IntOps and C3 act, and AgentSight and ScaleRisk keep every action governed and provable. All of it inside your perimeter.

See how it all connects
  1. Layer 6 of 6

    Your people

    Agents work for your people. People keep the decisions.

    2–3 days → minutestime to an intelligence picture at a state law-enforcement agency

    Answers in minutes, with sourcesDigital employees for every teamConsequential actions approved by peopleArabic and English

  2. Layer 5 of 6

    Govern & prove

    Every agent action checked, every control evidenced

    AgentSight

    AI agent identity and governance

    Every agent seen, every action checked against a signed policy before it runs.

    How it works
    • AI governs AI: it governs the agents inside C3
    • Signed identity, fail-closed enforcement
    • Approval gates; revocation in under sixty seconds
    • Hash-chained audit, exportable to your SIEM

    Instead ofShadow AI and agent actions no one can prove

    ScaleRisk

    AI risk and posture management

    The EU AI Act, CBUAE and VARA as one control set, with the evidence captured once.

    How it works
    • Shared controls across forty-plus frameworks
    • GCC frameworks built in: NCA-ECC, NESA, CBUAE, CBB, QCERT
    • Breach-notification clocks for GDPR and HIPAA

    Instead ofGRC spreadsheets and audit scrambles

    AI governs AIAgentSight checking C3's agents · illustrative
    1. c3.triage-agentenrich(ioc: 203.0.113.7)allowed · signed policy v12
    2. c3.triage-agentisolate_host(lap-0417)held · MFA approval sent to analyst
    3. analystapprove(isolate_host)executed · 3 hosts contained
    4. c3.triage-agentexport_mailbox(all)blocked in-process · outside manifest
    5. audit#48213 hash-chainedevidence filed to ScaleRisk
  3. Layer 4 of 6

    Act

    Agents that work, search and defend

    Autonous

    Enterprise sovereign AI OS

    Puts AI to work across the enterprise without data leaving the perimeter.

    How it works
    • Digital employees that cite their sources
    • No-code workflows with approval gates
    • Tamper-evident audit trail
    • Local models by default; bring your own

    Instead ofScattered copilots that send data to the cloud

    Autonous IntOps

    Enterprise intelligent search

    Powers the AI-First Data Lake: every archive answerable, every answer sourced.

    How it works
    • Documents, cases and records ingested once
    • Entities linked across sources
    • Every answer traced to file, page and passage

    Instead ofKeyword search and days of manual research

    C3

    Agentic SOC · Cyber Command Center

    AI agents triage and investigate every alert above your SIEM. Your analysts make the call.

    How it works
    • Alert triage with visible reasoning
    • MITRE ATT&CK playbooks, approved by people
    • Runs inside your environment, above your SIEM

    Instead ofRule-based SOAR playbooks and tier-1 alert queues

  4. Layer 3 of 6

    Reason & remember

    One memory and one model layer, inside your perimeter

    RelataDB

    Native AI database · open source

    The memory and provenance layer, and why every answer can be trusted.

    How it works
    • Long-term agentic memory, with recall across sessions
    • Built on a knowledge engine with a schema ontology
    • Private by design, beneath every answer

    Instead ofSIEM search indexes and stitched-together vector stores

    Token Factory

    Enterprise LLM inference · by Infinia

    Runs the models inside your perimeter, one serving layer for every agent and team.

    How it works
    • LLM inference on your own hardware
    • One serving layer shared by every agent and team
    • No external model calls

    Instead ofCloud AI APIs that send data out

  5. Layer 2 of 6

    Ingest & enrich

    Every source connected, every signal enriched

    OpenETL

    AI data pipelines · open source soon

    Brings data in from every source and prepares it for AI. Open source soon.

    How it works
    • Connects databases, files and feeds where they already live
    • Extracts, transforms and links data for retrieval and agents
    • To be released as open source

    Instead ofCustom parsers and one-off pipelines

    ThreatMap

    Unified threat intelligence

    20+ intelligence sources through one API, so every alert arrives with context.

    How it works
    • 20+ intelligence sources through one normalised API
    • IOC, CVE and attacker-infrastructure enrichment
    • Ready for AI agents over MCP

    Instead ofA separate integration per intel vendor

  6. Layer 1 of 6

    Your estate

    Kept and connected: what you run today

    Your EDR, firewall and identity, keptYour SIEM and cloud, connectedOn-premise, air-gapped or sovereign cloudZero egress: no telemetry, no callback

    Nothing ripped out. The stack connects to what you run today.

Proof

Running today where it matters most.

2–3 days → minutes

Time to an intelligence picture with Autonous IntOps at a state law-enforcement agency in India, on the agency's own servers. Field reports reach headquarters in real time.

Egress
Zero. No telemetry, no model calls leaving the perimeter.
Oversight
Consequential actions pass a human approval gate.
Provenance
Every answer cites file, page and passage. Every agent action is logged.
EU AI ActISO/IEC 42001NIST AI RMFCBUAEVARANESA
See it on your own use case: get a demo

Research & engineering

Research-led. Every area ships in a product.

Six research areas, each traced from a customer problem to the product it runs in. HyperMind (CIKM 2026) and AgentInSight (NeurIPS 2026 workshop) are two of the results.

200,000+

Open models

downloads of SecurityLLM and our open models

Used by Cisco Foundation AI and Yale as a security baseline in the Foundation-sec-8B report.

Explore the research: papers, areas, open models

The team

Defenders first. That is why our AI can be trusted with yours.

200+years of combined experience in security and AI

Our leaders and engineers bring decades each in security and AI. Now they build the platforms that protect governments and banks, and publish the research behind them.

Engineers
50+
Assurance
ISO 27001
Live in
UAE · India · Africa
Language
Arabic-native

Questions

What people ask us first.

What is sovereign AI?

AI that runs on infrastructure you control. Your data, and the models that learn from it, stay inside your perimeter. ZySec AI builds it on-premise, air-gapped or in sovereign cloud.

How do I test a sovereign AI claim?

Ask five questions. Does it run fully inside your perimeter, air-gapped if you need it? Does any telemetry or model call ever leave? Can you bring and self-host your own models? Is every AI action attributable and auditable? Can you choose where it runs? With ZySec AI: on-premise, air-gapped or sovereign cloud; zero egress; local models by default, or your own; every agent action in a hash-chained audit log.

Where is ZySec AI based?

Abu Dhabi, with teams in Hyderabad and Delaware. ZySec AI is an Infinia Technologies company, live in the UAE, India and Africa.

Can the platform run fully air-gapped?

Yes. Fully disconnected, with signed offline updates and no telemetry, callback or internet dependency.

Which regulations and frameworks does it map to?

The EU AI Act, ISO/IEC 42001 and NIST AI RMF, with GCC frameworks including NESA, CBUAE and VARA. ScaleRisk captures the evidence once and maps it across frameworks.

Which products does ZySec AI offer?

One sovereign AI stack: OpenETL and RelataDB for data, Autonous and Autonous IntOps for intelligence, AgentSight and ScaleRisk to govern and prove, and C3 to defend, with security for AI, blockchain and Web3 underneath.

Does ZySec AI publish its research?

Yes. Papers accepted at CIKM 2026 and a NeurIPS 2026 workshop, and open security models with more than 200,000 downloads, cited by Cisco Foundation AI and Yale.

Path to value

From first session to production.

Discover, Navigate, Accelerate: our DNA, and the way every engagement runs.

  1. DiscoverDiscovery1–2 weeks

    Use cases, data, regulation and constraints mapped with your team.

  2. NavigatePilot6 weeks

    One workload in your environment, against criteria agreed up front.

  3. AccelerateDeployment8–12 weeks

    Production on your infrastructure, integrated with identity and tooling.

  4. AccelerateRun and extendOngoing

    Signed offline updates, new workloads and a named engineer.

Fixed scope and fixed fee at every stage, with no obligation to continue.

Next step

Tell us about your environment. We'll show you the platform against your own use case.