WAF and Behavior Analysis Presentation.pptx

This presentation explains how Web Application Firewalls (WAF), when combined with Behavior Analysis, create a more robust cybersecurity defense mechanism. Behavior Analysis monitors real-time user and system activity to detect abnormal patterns that may indicate advanced or unknown attacks. By establishing baseline profiles and using anomaly detection algorithms, it enhances the WAF's ability to block both known and zero-day threats. The presentation covers practical use cases such as detecting credential stuffing, slow brute-force, and application-layer DDoS attacks, along with advantages and best practices for implementing behavior analysis effectively.

1. WAF and Behavior Analysis in Cyber Security Enhancing Threat Detection & Protection

2. Introduction • What is WAF? • Importance of Behavior Analysis in Cyber Security

3. What is Behavior Analysis? • Monitoring user and system activities • Identifying abnormal patterns • Complementary to signature-based detection

4. How Behavior Analysis Works • Baseline Behavior Profiling • Anomaly Detection Algorithms • Real-time Monitoring and Alerts

5. WAF + Behavior Analysis: A Powerful Combination • Blocks known attacks (signatures) + Detects unknown threats (anomalies) • Reduces False Positives • Adapts to evolving threats

6. Use Cases of Behavior Analysis with WAF • Detecting credential stuffing attacks • Identifying slow brute-force attacks • Spotting application layer DDoS attacks

7. Advantages of Behavior Analysis in WAF • Improved Accuracy • Real-time Adaptive Protection • Reduced Manual Intervention

8. Challenges and Best Practices • Avoiding Overfitting the Model • Balancing Sensitivity & False Positives • Continuous Model Training

9. Conclusion • Behavior Analysis strengthens WAF capabilities • Critical for modern threat defense strategies