Synapse AI

Network engineering. Validated. Secured.

Synapse AI brings design intelligence and an AI-enabled cyber digital twin to the trusted secure-by-design platform. Enhance every stage of the network lifecycle — from architecture generation to review, interrogation and validated delivery — with the assurance of IEC 62443 compliance, governance and full traceability.

Faster architecture generation
Optimised design review
Broader, deeper network insight
Continuous assurance

Benefits

AI supporting secure-by-design

Synapse AI supports an optimised, defensible network-design process — with compliance, integrity and control maintained at every step.

Task automation

Repetitive design and documentation work — zoning, addressing, report assembly — handled by AI so engineers spend their time on judgement, not transcription.

Data integrity

Every AI-assisted action is captured against the model with full traceability — the as-designed record never drifts from the architecture it describes.

Robust governance

Access control, version control and a complete audit trail. Human-in-the-loop oversight on every suggestion — nothing is applied without an engineer's sign-off.

Data security

Your topology, addressing and protocol data stay inside a governed, validated platform. No silent training, no leakage — security by design extends to the AI itself.

IEC 61850 digital twin platform

An AI-enabled cyber digital twin

Model the network as living data, then let AI reason over it — design resilient utility networks, validate performance, and reduce risk before a cable is pulled.

Engineer the digital twin

Model IEC 61850 substations including IEDs, switches, VLANs and fibre connectivity in one unified system view — assets, addressing and protocols as first-class, queryable data.

Validate & simulate

Trace GOOSE and SV paths, analyse failover behaviour across PRP / RSTP architectures, and evaluate communication performance — latency, bandwidth, saturation — before commissioning.

Network engineering, validated and secured

Grid software engineers design and validate mission-critical utility communication networks — including digital-twin modelling of IEC 61850 signal paths, PRP/RSTP architectures, and real communication behaviour before commissioning.

Design → check → twin

From a drag-drop design to a live cyber range

The same validated model compiles to a provenance-pinned manifest a cyber range can ingest — so the architecture you checked statically is the one that gets attacked empirically.

01

Model

The architect designs the site on the drag-drop canvas — assets, zones, conduits, addressing.

02

Check

Deterministic validation against IEC 62443 runs in the browser. Green is the gate to compile.

03

Compile

Emit a vendor-neutral Cyber Digital Twin Manifest (JSON/YAML), pinned to the exact design.

04

Instantiate

A range ingests it and spins up the twin: VMs, virtual segments, firewalls and IEC 61850 simulators.

05

Attack & prove

Scripted pen-testing at the SL-T adversary tier. Every control is empirically tested, results loop back.

wind-farm-reference.cdt.json
{
  "apiVersion": "synapse.cdt/v1",
  "kind": "CyberDigitalTwinManifest",
  "metadata": {
    "designCheck": { "status": "pass", "violations": 0 }
  },
  "nodes": [
    { "role": "protection-relay",
      "realization": { "tier": "simulated",
        "catalogKey": "ied/libiec61850-goose" } }
  ],
  "scenarioPlan": {
    "adversary": { "fromSlT": 3, "skills": "iacs-specific" }
  },
  "assertions": [
    { "requirementRef": "IEC62443-3-3:SR 5.1",
      "test": "reachability", "expect": "unreachable" }
  ]
}

SL-T is the adversary spec

IEC 62443 Security Levels are threat-actor capability tiers — so a zone's target SL selects which adversary the range emulates against it.

Deterministic & provenance-pinned

The same model emits a byte-identical manifest, pinned to the design snapshot — range runs stay comparable across revisions.

A closing loop, not a one-shot

Results map back to the same assets and conduits — a control the range breaks becomes a finding on the canvas.

Vendor-neutral by design

One canonical manifest; thin adapters transpile to CyRIN, Airbus CyberRange, Caldera, Containerlab or Heat.

Capabilities

The AI inside

AI Design Assistant

Automatically flag what needs your attention most — segmentation gaps, missing conduits, unsafe remote access — letting you focus on critical engineering decisions rather than routine checks.

Generate documentation

Cybersecurity requirement specs, zone/conduit reports, firewall rule schedules and as-designed records, produced in a dependable, compliant way across the organisation.

Conversational insight

Get instant answers through conversational guidance: “trace every GOOSE path through this conduit”, “where does the OEM VPN terminate?” — grounded in the live model.

Cyber digital twin

Leverage the model more than ever before — an AI-enabled IEC 61850 digital twin connecting IEDs, switches, VLANs and fibre, with big-data APIs to support wider initiatives.

AI insights

Govern AI with confidence

Talk to an expert about Synapse AI

See how AI can enhance your secure-by-design network engineering — from architecture generation to validated, inspection-ready delivery.