Cybersecurity for Critical Infrastructure Industries

Critical sectors and operators across energy, water, telecommunications and transportation provide fundamental services that form the backbone of society. Yet, this centrality also makes them prime targets for cyber criminals seeking to cause large-scale disruption or gain control over vital assets.

With mixed IT and OT environments, the rise of the Internet of Things, and recent political tensions, these industries require a tailored solution that can increase resilience in the high-risk environment they operate.

Why critical infrastructure is different

OT estates run for decades, can’t be patched on a normal cadence, and often speak protocols the modern security stack doesn’t natively understand. Bolting an IT-centric SIEM onto an OT environment misses the threats that matter — and floods analysts with the ones that don’t.

How Blacklight helps

• Native OT correlation — connectors and parsers for the protocols that run plants and pipelines, not just office networks.
• Asset-aware detection — rules that understand the difference between a misconfigured HMI and a hostile reconnaissance scan.
• Compliance built-in — reporting aligned to NIS2, NIST CSF and sector-specific frameworks.

The constraint nobody can engineer around

In an office environment, containment is cheap: isolate the host, revoke the token, move on. On a plant floor it is not. Isolating the wrong controller can stop a production line, a pumping station or a substation, and the cost of that outage can exceed the cost of the intrusion you were trying to stop.

This is why “just automate the response” fails in OT. The judgement call, what will this containment action actually do to the process, carries real physical consequence and has to stay with a person who holds the operational context.

What that means in practice

The right split is autonomous where it is safe and human where it is consequential:

• Detection and investigation run autonomously. Correlating IT and OT telemetry, building the timeline, and identifying whether a signal is a misconfiguration or reconnaissance should never wait in a queue.
• Containment is proposed, not imposed. The platform presents the recommended action, the evidence behind it, and the blast radius, so the operator decides in seconds rather than investigating for hours.
• Everything is evidenced. Regulators under NIS2 and equivalent regimes want to see the decision trail, not just the outcome.

The number that matters

Legacy detection in these environments is measured in months. The exposure window, the time an attacker operates before containment, is what converts an intrusion into an outage, a safety event, or a regulatory case. Compressing that window from months to minutes, without taking the operator out of the consequential decisions, is the whole objective.

See how this applies across energy, manufacturing and connected IoT and smart buildings.

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