OT asset and engineering fabric
EAM, CMMS, historian exports, engineering docs, P&IDs, configuration records, maintenance notes, vendor manuals, and safe operating limits.
Critical Infrastructure Agentic OS Control Plane
Turn resilience objectives into governed advisory execution
VDF.AI sits above the operational, security, asset, engineering, incident, and compliance systems critical-infrastructure operators already run. It coordinates agents for threat intelligence, incident response, NIS2 reporting, OT documentation, resilience analysis, and playbook authoring. Read-only. Air-gapped capable. No path to control-system commands. Every action traceable.
8Critical operations, resilience, and security workflows
0Commands sent to SCADA, ICS, PLC, or control systems
100%On-premise, segmented, or air-gapped execution
EverySource, retrieval, model route, approval, and output logged
Built for essential-service resilience
Air-Gapped NIS2 CER Directive IEC 62443 NIST CSF EU AI Act Read-only Human-in-the-loop
Critical infrastructure control plane
Signals in. Advisory control plane. Evidence out.
Asset records, procedures, historians, SIEM alerts, threat feeds, outage records, ticketing, resilience plans, and compliance obligations stay where they are. VDF.AI reads approved context, applies advisory and access boundaries, activates the right agents and tools, and returns evidence with the work.
Live advisory execution
Critical Infrastructure Agentic OS Control Plane
VDF.AI · advisory only · model agnostic · sovereign cloud · air-gapped capable · any LLM
01 Signals in 02 Advisory gates 03 Agents & tools 04 Evidence out
Signals in
Security and threat signal fabric
SIEM, SOAR, vulnerability management, threat-intel feeds, advisories, asset exposure, ticket history, and incident notes.
Operations and outage fabric
Shift logs, alarms, outage records, restoration events, field notes, network alerts, service impact, and work-order timelines.
Resilience and continuity fabric
Risk registers, dependency maps, BCPs, exercise results, supply dependencies, safety constraints, and recovery objectives.
Regulatory and evidence fabric
NIS2 obligations, CER resilience expectations, IEC 62443 zones, NIST CSF controls, regulator correspondence, and audit findings.
Operational objective intake
Set the target: reduce incident documentation time, prioritize threat advisories, find OT procedures faster, improve resilience planning, or meet NIS2 reporting timelines.
Advisory boundary and authority gates
Enforce read-only mode, OT/IT separation, zone-aware access, approved sources, model route, human review, and no-control-command policies before agents execute.
Resilience goal to advisory execution plan
The platform ranks actions by service impact, safety context, asset criticality, threat relevance, compliance deadline, evidence strength, zone policy, and required human approval.
Threat and vulnerability pod
Ingest advisories and internal signals, correlate them with real assets, rank operational relevance, and prepare analyst-ready briefings.
Incident response pod
Surface runbooks, summarize logs, build timelines, capture actions, and draft response records while responders retain authority.
OT knowledge and playbook pod
Answer procedure questions, standardize SOPs, capture expert knowledge, and route drafts for SME approval before use.
Resilience and compliance pod
Map NIS2, CER, IEC 62443, and NIST obligations to controls, compile evidence, and draft regulator-ready documentation.
Advisory execution boundary
Runs in on-premise, segmented, or air-gapped environments with read-only data surfaces and no path to control-system commands.
Evidence ledger and resilience memory
Stores objective, source, retrieval, correlation, model route, human approval, output, and lessons learned for future response and audit.
Evidence out
Threats prioritized
Advisories and internal signals mapped to actual assets, impact, and response priority.
Incidents documented
Procedures retrieved, logs summarized, timelines assembled, and response records drafted.
NIS2 reports assembled
Obligations, notifications, control evidence, and reviewer sign-off compiled on deadline.
OT answers cited
Operators find approved procedures, asset records, and engineering answers with citations.
Resilience risks briefed
Dependencies, continuity gaps, exercises, and mitigation options synthesized for decision forums.
Playbooks approved
Procedures drafted from existing material, reviewed by SMEs, versioned, and traceable.
How critical infrastructure operations transform
From resilience objective to governed advisory execution
VDF.AI starts with the operational, security, or compliance outcome, then coordinates agents, read-only tools, approvals, and evidence so teams move faster without weakening the boundary.
Your operational stack stays. The control plane sits above it.
Connect read-only data from historians, SIEM, SOAR, EAM, CMMS, GIS, document stores, ticketing, outage, risk, and compliance systems without changing control infrastructure.
Zero rip-and-replaceState the resilience or operations objective. The platform builds the plan.
Prioritize live threat advisories, reduce incident report cycle time, find the right OT procedure in seconds, close NIS2 evidence gaps, or turn exercises into updated playbooks.
Objective-first executionAgents activate inside advisory boundaries.
Threat, incident, documentation, compliance, resilience, and playbook agents call only approved read-only tools with role, zone, source, model, and human-approval policies enforced.
Advisory only by designEvery output returns with evidence and learning.
The platform records sources, retrievals, correlations, model routes, confidence checks, approvals, outputs, and outcomes while building reusable response memory.
Auditable at execution The Critical Infrastructure Challenge
Operators do not need unsafe automation. They need an advisory operating layer.
Essential-service operators face threat overload, tight reporting windows, aging documentation, resilience obligations, and hard OT boundaries. AI must improve decision support without becoming a new operational risk.
01
Fragmented Operational Context
Asset data, procedures, engineering drawings, SIEM signals, tickets, outage records, and compliance evidence sit across different systems. Teams assemble the picture under pressure.
02
Hard OT Boundary
AI must never become a write path into control systems. Critical infrastructure needs read-only, advisory execution with explicit separation from SCADA, ICS, PLCs, and safety systems.
03
Incident and Reporting Pressure
NIS2 notifications, outage reports, incident records, root-cause evidence, and regulator requests require speed and precision when teams are already responding.
04
Knowledge and Procedure Drift
Procedures age, experts retire, threat patterns change, and lessons from exercises disappear into documents unless the system captures and reuses them.
The VDF AI Solution
A critical-infrastructure control plane that governs agents by zone, role, system boundary, and objective
No migration
Keep SCADA, historians, SIEM, EAM, outage, and engineering systems in place
The agentic layer connects approved read-only context.
VDF.AI connects to operational records, security tools, asset systems, procedures, document repositories, outage platforms, ticketing, risk registers, and compliance systems through governed tools. Data stays inside your perimeter; agents receive only the scoped read access needed for the objective.
Control infrastructure should not be disrupted to adopt AI. A governed advisory layer starts with read-only workflows and expands across the resilience operating model.
0
Control-System Changes Required
Advisory layer above existing operational systems
SCADA read-onlySIEMEAMDocs
Objective engine
Start with the resilience outcome, not a disconnected automation task
The plan is ranked by service impact, safety, risk, deadline, and evidence quality.
Examples of objective-first critical infrastructure execution:
- Threat intelligence: prioritize advisories against your actual assets and exposure
- Incident response: surface procedures, build timelines, and draft response records as events unfold
- NIS2 reporting: assemble notifications and evidence packs within required timelines
- OT knowledge: answer operational questions from procedures and engineering records with citations
- Resilience: summarize dependencies, continuity plans, risk gaps, and exercise lessons for decision forums
Goal
To Advisory Plan
Threat · incident · resilience · compliance
Ranked actionsBoundary gatesEvidence path
Advisory autonomy
Autonomy is constrained by operational risk and system boundary
Each workflow gets the authority level it deserves.
VDF.AI lets operations, security, compliance, engineering, and resilience leaders define autonomy at the workflow level:
- Assistive: incident recommendations, resilience decisions, control-impacting operations, and safety-adjacent work remain with named humans
- Delegated: log summarization, evidence gathering, procedure retrieval, advisory correlation, and report drafting execute under policy
- Autonomous: low-risk document routing, notification drafts, knowledge retrieval, and internal status updates can run within thresholds
- Escalated: severe incidents, safety risk, control ambiguity, missing evidence, and regulator-facing outputs route to accountable reviewers
- Measured: each workflow reports response time, evidence completeness, exception rates, review status, and audit trail quality
Read-only
Advisory by Boundary
Assistive · delegated · escalated
No OT commandsApprovalsAudit
Where it pays back
Critical infrastructure workflows ready for governed advisory agents
VDF AI Agents & Tools
Improve critical workflows with agent-tool networks
Each workflow combines a defined advisory-agent pattern with tools that retrieve evidence, enforce permissions, summarize logs, verify sources, request approval, generate records, and export the audit trail.
Analyst reviewed
Threat Intelligence Network
Ingests advisories and internal signals, maps them to assets, ranks relevance, and drafts actionable briefings.
WebAnomalyRAG
Explore workflow
Responder controlled Incident Response Network
Surfaces runbooks, summarizes logs into timelines, captures actions, and drafts the response record.
RAGCSVDocs
Explore workflow
Reviewer controlled NIS2 Compliance Network
Tracks obligations, maps controls, drafts compliance documentation, and assembles incident notifications.
CrawlerPDFAudit
Explore workflow
Need-to-know scoped OT Documentation Q&A Network
Searches procedures, asset records, and engineering documents with cited, role-scoped answers.
RAGOCRCitations
Explore workflow
Decision-support only Resilience & Risk Network
Synthesizes dependencies, continuity plans, risk assessments, and exercise evidence into resilience briefs.
RAGQualityReport
Explore workflow
SME approved Procedure & Playbook Network
Drafts and standardizes playbooks from existing material, then routes every version for expert approval.
DocsApprovalTrace
Explore workflow
Operations reviewed Outage Summary Network
Builds outage timelines, impact summaries, root-cause hypotheses, and post-incident reports from logs.
CSVRAGDocs
Explore workflow
NOC controlled Network Operations Network
Correlates alert floods, suggests likely resolutions from runbooks, and drafts incident reports.
CSVRAGAudit
Explore workflow
Under the hood
Technical specifications for critical infrastructure advisory execution
| Requirement | VDF AI Capability |
|---|---|
| Deployment model | On-premise, segmented, sovereign cloud, disconnected site, or fully air-gapped enclave |
| Control-system isolation | Advisory-only operation on approved read-only data surfaces; no write path to SCADA, ICS, PLCs, or safety systems |
| System posture | Overlay architecture above historians, SIEM, SOAR, EAM, CMMS, GIS, outage, ticketing, document, risk, and compliance systems |
| Data sovereignty | Models, embeddings, prompts, retrieval indexes, operational data, threat signals, tool calls, logs, and outputs remain inside your perimeter |
| Private RAG | Procedures, asset records, engineering documents, playbooks, incident history, risk registers, and compliance evidence retrieved only inside approved environments |
| Role-based access | Agents, tools, knowledge, and outputs scoped by role, site, zone, system boundary, incident role, data class, and least-privilege policy |
| Model routing | Policy-aware routing by task sensitivity, data class, model approval, confidence need, latency, cost, and deployment boundary |
| Autonomy controls | Assistive, delegated, autonomous, and escalated modes configured by workflow, risk threshold, reviewer, and regulator-facing output type |
| Audit logs | Immutable logs for objective, requester, sources, retrievals, correlations, tool calls, model route, approvals, output, and disposition |
| Integration examples | Read-only SIEM/SOAR, asset management, EAM/CMMS, document stores, ticketing, GIS, outage platforms, risk registers, GRC, and custom MCP/API adapters |
| Encryption | At-rest and in-transit encryption, customer-managed keys, and deployment-specific key separation |
| Operations | High-availability clustering, backup and restore, offline update packages, health monitoring, SIEM export, and long-term evidence retention |
Outcome Snapshot
What changes after rollout
Minutes
To retrieve cited procedures, asset context, and prior incident evidence
Fewer
Manual handoffs across security, operations, resilience, and compliance teams
Trace
Every source, correlation, model route, approval, output, and disposition
Reuse
Lessons from incidents, exercises, playbooks, and regulator feedback retained in the system
FAQ
Questions critical-infrastructure teams ask
Does VDF.AI replace SCADA, ICS, historian, SIEM, EAM, outage, or asset management systems?
No. VDF.AI sits above operational, security, asset, engineering, document, and compliance systems as an advisory control plane. Your SCADA, ICS, historians, SIEM, SOAR, EAM, CMMS, GIS, outage, ticketing, and document systems remain the systems of record. VDF.AI coordinates agents and tools across approved read-only data surfaces.
Will VDF.AI ever issue commands to control systems?
No. VDF.AI is advisory by design. It can retrieve procedures, summarize logs, correlate alerts, draft reports, and prepare recommendations, but it does not write to SCADA, ICS, PLCs, or other control systems. Operational staff keep authority for every field, safety, restoration, and control decision.
Can VDF.AI run fully air-gapped for critical environments?
Yes. The platform can run on-premise, in a segmented environment, or in a fully air-gapped enclave. Models, embeddings, prompts, tool calls, operational records, asset context, threat intelligence, and audit logs remain inside your controlled perimeter with no unmanaged external runtime calls.
How does VDF.AI support NIS2, CER, IEC 62443, and incident reporting?
Agents can map obligations to controls, monitor regulatory and threat feeds, retrieve approved procedures, summarize event timelines, draft incident notifications, and compile evidence packs. Every source, retrieval, model route, recommendation, approval, and output is logged so resilience, incident, and compliance teams can defend the record.
Build the advisory control plane above the systems you already trust
Start with one objective: threat intelligence, incident response, NIS2 reporting, OT documentation, resilience analysis, outage summaries, or playbook authoring.