How does AI address vulnerabilities in autonomous inspection drones to prevent compromise?
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AI can help address vulnerabilities in autonomous inspection drones by implementing advanced anomaly detection algorithms to identify unusual behavior or patterns that may indicate a compromise. Additionally, machine learning can be used to continuously analyze data from various sensors on the drone to detect any deviations from normal operation, enabling real-time threat assessment and response. AI can also enhance security measures by improving encryption protocols, implementing robust authentication mechanisms, and developing self-healing capabilities to mitigate potential attacks and safeguard the drone’s operation.