The document discusses the growing need to balance the benefits and risks of integrating AI (Artificial Intelligence) in OT (Operational Technology) cybersecurity environments.
As OT systems face increasingly sophisticated cyber threats, AI offers promising capabilities to enhance threat detection and response.
However, the integration of AI also raises concerns about compatibility with legacy systems, data quality issues, and the risk of false positives.
The experts highlight the critical role of human oversight in ensuring the reliability and accuracy of AI-driven outputs. Strategies such as expert verification, robust data management, and continuous model tuning are recommended to address these challenges.
The evolving regulatory landscape, including the EU AI Act and NIST AI RMF, is expected to shape the responsible adoption of AI in OT cybersecurity, emphasizing transparency, accountability, and risk mitigation.
The document also explores the dual-edged nature of AI, where it can be leveraged by both defenders and attackers.
Organizations are advised to adopt a comprehensive approach, incorporating proactive and reactive measures, to balance the benefits and risks of AI in OT cybersecurity.