AI for industrial reliability & security

Production stops.The costs don’t.

One fault. Four teams. No shared record. GoLeap AI checks every recorded change on the plant floor against its approval, using records you already keep: work orders, the historian, remote access and the OT monitor. Nothing is installed on equipment.

It is the agentic reliability OS for industrial operations. Prevent avoidable downtime. Resolve disruption faster. Protect your margin.

See it on the plant floor

The security imperative

Reliability and security belong together.

30%

of reviewed incident-response cases started with unexplained operational issues.

Incident response · 2025 cases

82%

of assessed asset owners lacked clear criteria for escalating an operational anomaly to a cyber investigation.

Tabletop-exercise findings

73%

of incident-response cases to date involved compromised VPN or jump-host access.

Incident response · All-time cases in the report

Dragos, 2026 OT/ICS Cybersecurity Year in Review: findings from its incident-response engagements and tabletop exercises.

On the plant floor

Four teams’ records.
One shared case.

Every recorded change on the floor, whether a person, a vendor or an AI agent made it, is checked against the work order, the operating history, the access log and the security monitor, then marked verified, flagged or left open.

Illustration of a production line with three machines, a conveyor, a robot cell, a controller cabinet and a vendor workstation. Changes on the floor are checked against work orders and backups, the historian, remote access and the OT security monitor, and each one becomes an entry in a shared case record.

Evidence from work orders and backups, the historian, remote access and the OT monitor.

Agentless at the asset. Nothing is installed on controllers or production equipment.

Reads from inside the plant. It reads the systems you already run and replaces none of them.

Designed for isolation. For plants that may have to cut themselves off from outside networks.

Our approach

Investigate. Govern. Defend.

It investigates and verifies every change, governs every action against its approval, and detects anomalies and threats from people and AI.

01 · Investigate

Turn signals into an investigation.

What changed, and why does it matter?

On the floor. A machine trips after a change: reconstruct the sequence, compare operating conditions and connect the work history.

Connect operating history, maintenance work and security events. Compare explanations and follow the evidence to the next decision. Where evidence is missing, name the gap and how to capture it next time.

Measure: time to a correct decision · reviewer effort

02 · Govern

Approve every action. Check every change.

Who or what may act, and did it work?

On the floor. Before a restart: each critical machine’s last verified state, and the restore evidence and dependencies still missing.

Actions GoLeap AI proposes need a named person’s approval first, and their outcome is read back: verified, or left open. Every other change on the plant is checked against its approval as it happens.

Measure: readiness gaps closed · delay removed per incident

03 · Defend

Detect anomalies and threats.

Is a person or an AI acting outside its authority?

On the floor. A critical advisory lands: match it to the affected software and equipment, and rank it by operational impact.

Flag changes with no approval, access outside its window, exposed software and AI agents acting beyond their authority, each tied to the equipment and production at stake.

Measure: unauthorized changes found · real issues not wrongly dismissed
The agent investigates. The rules decide.

Your team owns the decision. Every conclusion points back to the evidence. Its agents only read; all they send are requests, and none reaches anyone without a named person’s approval. An AI actor is held to the same approval as a person.

The result

What changes for the plant.

What a plant should see, measured against its own baseline.

InvestigateFaster, correct decisions.When a machine trips after a change, the team starts from one case built on the evidence, not four teams’ separate records.

GovernRestarts without guesswork.Each critical machine has a last verified state, and every action has a named approver and a recorded outcome.

DefendThreats ranked by impact.Unapproved changes, out-of-window access and exposed software are found and tied to the equipment at stake.

Let’s talk

Make downtime
cost less.

Put your toughest reliability, security and recovery challenges on the table: hello@goleap.ai

For operations, reliability and OT security leaders.