Description
AI-driven Threat Detection Systems employ machine learning algorithms and data analytics to monitor network traffic, identify anomalies, and flag potential cybersecurity threats in real-time. These systems go beyond traditional signature-based detection by leveraging predictive models that learn from historical data, adapting to new threat vectors and identifying patterns that indicate malicious activities. This proactive approach enables organizations to mitigate risks and prevent data breaches before significant damage occurs.
