How does AI detect malicious firmware updates in real-time?

AI can detect malicious firmware updates in real-time by analyzing patterns, behaviors, and code within the firmware to identify any anomalies or malicious signatures. Machine learning algorithms are often used to train AI systems to recognize characteristics associated with malicious firmware updates. These algorithms can flag suspicious activities, deviations from normal behavior, or known threat indicators to prevent devices from being compromised. Additionally, AI systems can compare incoming firmware updates against reputable sources or known secure versions to verify authenticity and integrity before allowing installation. This proactive monitoring and analysis help to prevent unauthorized changes and enhance device security.