How AI Changes Risk and Reward in Industrial Automation

AI changes risk and reward in industrial automation because the same systems that improve optimization, precision, and throughput can also widen operational exposure when they are trusted too quickly or integrated without enough control. As plants and industrial environments rely more on AI for decision support and process tuning, mistakes, manipulation, and weak oversight can carry consequences beyond normal IT disruption.

The strategic challenge is not whether industry should use AI. It is how to apply it with guardrails that reflect safety, resilience, cyber risk, and human accountability. In automation environments, faster decisions only help if operators can still understand, verify, and override what the systems are doing.

Opportunities: AI as a Catalyst for Efficiency

AI can help factories and plants run more efficiently and cut costs. It improves precision, raises output quality and uses resources better. Carmakers are a clear example, using AI on production lines to improve quality and safety. Fast processing of large data volumes also allows real-time decisions that reduce downtime.

The security risks

AI also brings real security concerns. The International Society of Automation (ISA) has drawn attention to weaknesses in automated systems, which can be attacked to steal data, disrupt operations or create safety hazards. Misused AI can also cause privacy problems or biased decisions. ISA stresses strong security measures to guard against these threats.

What ISA recommends

In its position paper, ISA argues that security work should move in step with AI adoption in industrial settings, not trail behind it. That means security frameworks that include AI-specific threat detection and resilience plans. Training matters too. Staff need to know how to spot and respond to AI-related weaknesses.

Working together

Getting AI right in industrial automation takes cooperation between companies and government bodies. Cross-industry partnerships help shape standards and rules that protect against cyber threats while letting AI use grow. Companies that join those efforts are better placed to gain from AI and limit the risks.

What to watch

The gains from AI-driven automation are large. So are the risks. Watch how ISA’s guidance and related standards get adopted on plant floors, and whether operators keep the ability to understand, check and override what AI systems do.

Fred Templeton, CISA, CASP, SEC+

Fred Templeton is a practicing Information Systems Auditor in the Washington DC area. Fred works as a government contractor and uses his skills in cyber security to make our country's information systems safer from cyber threats. Fred holds a master's degree in cybersecurity and is currently working on his PHD in Information Systems.