Adaptive Learning

FortiADC's WAF Adaptive Learning feature uses continuous deep packet inspection and traffic analysis to dynamically generate tailored recommendations for refining WAF protection policies. The engine autonomously builds datasets from observed traffic patterns to identify and mitigate threats with precision, enabling security measures that align with each application's unique traffic characteristics.

• Uses traffic analysis and deep inspection to learn application behavior

• Automatically generates policy recommendations

• Builds datasets from real traffic patterns

• Enables precise, application-specific protection

For more information, see Adaptive Learning in FortiADC Administration Guide.