What do you know about cybersecurity risks when scaling industrial AI?

Answers

1. False. Industrial AI relies on traditional machine learning (ML), rather than the newer and less well-tested generative AI, and has been used for tasks including predictive maintenance, quality checks, and energy management for more than 15 years.
2. False. While DeepSeek is fast and less expensive than its US competitors, independent security evaluations have found a series of weaknesses in it and exposed susceptibility to cyber threats including prompt injection attacks, jailbreaking, and data poisoning, revealing that cheaper options may be a false economy in the long term.
3. True. Scaling broadens the attack surface, making industrial systems more vulnerable to cyber threats. Models can be targeted by adversarial attacks, data poisoning, and model inversion techniques that expose sensitive information.