Securing AI Use in Operational Technology Environments
Understanding AI's Impact on OT Security
As organizations leverage artificial intelligence in operational technology (OT) settings, the significance of securing these systems cannot be overstated. The fusion of AI and OT presents exciting opportunities but also opens new vulnerabilities. This article delves into the essential strategies for enhancing security as AI reshapes the OT landscape.
Key Challenges in Securing OT
- Increased Attack Surface: The integration of AI significantly widens the potential points of failure.
- Legacy Systems Vulnerability: Many OT environments are reliant on outdated technology, which may not support modern security solutions.
- Need for Comprehensive Training: Staff training becomes paramount to address new security paradigms brought on by AI.
Strategies for Effective Security
- Risk Assessment: Conduct regular assessments to identify and mitigate risks associated with both OT and AI technologies.
- Layered Defense: Implement multiple security measures to provide a robust defense.
- Continuous Monitoring: Establish proactive monitoring of OT systems to identify and respond to threats swiftly.
The future of OT with AI hinges on prioritizing security. By adopting a comprehensive security strategy, organizations can harness AI's full potential while safeguarding critical infrastructure.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.