Webinar Description
Key Takeaways
- Explores how artificial intelligence is reshaping Web Application Firewall capabilities through risk scoring and behavioural analysis
- Addresses the persistent challenge of false positives that burden security operations teams
- Includes a live demonstration of F5 Distributed Cloud WAF
- Relevant for security engineers, architects, SOC analysts and IT leadership across regulated industries
- Scheduled for 30 July 2026 at 1:00 PM SGT
Introduction
F5 is hosting a live webinar examining how AI-powered Web Application Firewalls can improve threat detection accuracy whilst reducing the false positive rates that have long frustrated security teams. The session targets security professionals and IT leaders responsible for protecting web applications in enterprise environments, with particular relevance for organisations in banking, e-commerce, healthcare and the public sector. As web application attacks grow more sophisticated and traditional signature-based defences struggle to keep pace, the integration of machine learning and behavioural analysis into WAF technology represents a significant evolution in application security strategy.
About This Event
This virtual webinar combines expert-led discussion with a practical product demonstration. The session focuses on F5 Distributed Cloud WAF, illustrating how the platform applies AI-driven risk scoring alongside conventional signature-based protections. Attendees will observe the technology in action, providing concrete insight into how these capabilities translate from concept to operational reality.
The False Positive Problem in Web Application Security
Traditional Web Application Firewalls have long presented security teams with an uncomfortable trade-off. Configured too aggressively, they block legitimate traffic and disrupt business operations. Configured too loosely, they allow genuine threats to pass undetected. The result is often a middle ground that generates substantial volumes of alerts requiring manual review.
This alert fatigue carries real operational costs. Security analysts spend significant time investigating events that prove benign, diverting attention from genuine incidents. Policy tuning becomes a continuous burden, requiring deep application knowledge and ongoing adjustment as applications evolve. For organisations running dozens or hundreds of web applications, this complexity compounds rapidly.
How AI Changes the Detection Model
The webinar explores how artificial intelligence addresses these limitations through several complementary mechanisms. Behavioural analysis establishes baseline patterns for normal application traffic, enabling the WAF to identify anomalies that deviate from expected behaviour rather than relying solely on known attack signatures. This approach proves particularly valuable against novel attack variants and zero-day exploits that signature databases cannot yet recognise.
AI-powered risk scoring adds contextual intelligence to detection decisions. Rather than treating each request in isolation, the system evaluates multiple factors to assign confidence levels to potential threats. This nuanced approach reduces binary block-or-allow decisions in favour of graduated responses proportionate to assessed risk.
The practical benefit extends beyond detection accuracy. When false positives decrease, security teams can allocate attention more effectively. Policy management becomes less burdensome as the system adapts to application behaviour rather than requiring exhaustive manual rule configuration.
Who Should Attend
The session is designed for security engineers and architects evaluating WAF technologies, SOC analysts managing alert volumes, and CISOs or CTOs assessing how AI capabilities might improve their security operations. Organisations deploying customer-facing web applications and APIs will find the content particularly applicable, especially those in sectors where both security and availability carry significant business and regulatory weight.
Conclusion
As attack surfaces expand and threat actors employ increasingly sophisticated techniques, the limitations of traditional WAF approaches become more pronounced. This webinar offers security professionals an opportunity to evaluate how AI-enhanced detection might address operational challenges that have persisted throughout the evolution of web application security.