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5 Key Advantages of AI and ML in Operational Technology Cybersecurity

Here are five key advantages of AI and ML in Operational Technology cybersecurity:

✅ Improved threat detection: AI and ML algorithms can quickly analyze vast amounts of data to identify patterns and anomalies that may indicate a cyber attack. This can help to detect threats in real-time and prevent them from causing significant damage.
✅ Enhanced accuracy: Machine learning algorithms can learn from past incidents and continuously improve their ability to identify and respond to new threats. This can help to reduce false positives and false negatives, which can improve the accuracy of cybersecurity systems.
✅ Faster response times: With AI and ML, security teams can respond to cyber attacks more quickly and effectively. This is because these technologies can automate certain security tasks, such as threat detection and response, allowing security teams to focus on more complex tasks.
✅ Predictive maintenance: AI and ML can be used to predict when systems may fail, enabling proactive maintenance and reducing the risk of cyber attacks caused by system failures.
✅ Adaptive cybersecurity: AI and ML can help organizations to build adaptive cybersecurity systems that can learn and evolve over time. This can help to address new and emerging threats that traditional cybersecurity systems may not be equipped to handle.

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