Cybersecurity Guide — Emerging Domains

Two fast-growing frontiers,
for opposite reasons

OT security protects decades-old physical machines never designed for cyber risk. AI security protects systems that didn't exist five years ago. Two very different domains, both becoming impossible to ignore.

What is operational technology (OT)?

The hardware and software that monitor and control real physical processes — power plants, factories, dams, water networks. Unlike classic IT, which handles data, OT actuates machines in the physical world.

ICS and SCADA

ICS (Industrial Control Systems) covers the systems that run these industrial processes — the most common being SCADA, which collects data from remote sensors and sends it to a central control station.

IT/OT convergence — why it's risky

Industrial networks once kept isolated are now connected to the cloud, remote-access tools, and classic IT systems to gain operational efficiency. The downside: environments never designed to face cyber threats end up brutally exposed.

Why OT security doesn't work like IT security

In IT, confidentiality usually comes first. In OT, availability and physical safety come first: a controller running a dam's valve can't just reboot to install a patch. Much of the equipment has run for decades, on protocols never designed to withstand an attack.

Shadow AI

The use of AI tools that security and governance teams are entirely unaware of — unsanctioned models, unvetted third-party AI services, informal pipelines built by business teams. Data breaches tied to Shadow AI cost, on average, considerably more than a typical breach.

Prompt injection

A technique where an attacker manipulates an AI model through carefully crafted instructions to bypass its safeguards, extract sensitive information, or trigger unintended behavior — the AI equivalent of SQL injection for databases.

AI-SPM (AI Security Posture Management)

A dedicated security discipline that continuously discovers, assesses, and secures AI-specific assets — models, training data, inference endpoints, autonomous agents — across hybrid environments.

The regulation arriving: the EU AI Act

Europe's AI regulation requires, for high-risk systems, auditable security controls starting August 2026 — or fines of up to €35 million or 7% of global revenue, whichever is higher. A clear signal: AI security is no longer optional, even for companies that use AI without having built it themselves.

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