Webinar Description
Key Takeaways
- Explores the limitations of traditional WAFs in securing AI-driven applications and APIs
- Introduces behavioral detection and machine learning-driven security models for runtime protection
- Focuses on practical frameworks for evaluating and implementing advanced security in AWS environments
- Addresses the operational challenges of adapting to AI-generated threats in production
- Targets security and IT professionals responsible for safeguarding AI and API deployments
“Runtime AI Governance on AWS: Deployment to Control” is a live webinar designed for professionals navigating the evolving landscape of application and cloud security. As organizations accelerate the deployment of AI-driven features and APIs, the security paradigm is shifting—traditional Web Application Firewalls are increasingly unable to keep pace with the sophistication of AI-generated threats.
Industry Context: The Rise of AI-Driven Threats
AI adoption is transforming how businesses operate, but it also introduces new attack surfaces. Security teams are discovering that signature-based WAFs, once the backbone of application protection, often fail to detect or mitigate threats generated by dynamic AI models. This gap leaves organizations exposed to novel risks that legacy tools were never designed to address.
Why Traditional WAFs Fall Short
The session examines why rules-based and signature-driven approaches are increasingly ineffective in AI-first environments. As AI models generate unpredictable traffic patterns and behaviors, static security rules struggle to keep up. The discussion highlights the operational blind spots that emerge when relying solely on conventional WAFs, especially in cloud-native deployments on AWS.
Behavioral Detection and Machine Learning-Driven Security
A core focus of the webinar is the introduction of behavioral detection and machine learning-driven security models. These adaptive approaches analyze real-time application behavior, enabling organizations to identify and respond to threats that bypass traditional defenses. Attendees gain insight into how these models work in practice and why they are essential for modern runtime protection.
Practical Frameworks and Next Steps
Participants are provided with actionable frameworks for evaluating and implementing advanced security solutions in AWS environments. The session offers guidance on advocating for behavioral and ML-driven approaches within their organizations, equipping security leaders and architects with the knowledge to drive change and justify investment in next-generation protection.
Who Should Attend
This event is tailored for security professionals, cloud architects, DevSecOps teams, product managers, and IT leaders responsible for deploying and protecting AI-driven applications and APIs. The content is especially relevant for those in roles such as Security Architect, Cloud Security Engineer, VP/Director of Security, and CTO/CIO, particularly within organizations leveraging AI at scale.
Event Format and Experience
Hosted as a live virtual session, the webinar features expert speakers from Wallarm and AWS. Attendees benefit from real-time insights and have access to a recording after the event, ensuring ongoing value for registrants who wish to revisit the material or share it with their teams.
About the Organizers
Wallarm, a recognized leader in application and API security, partners with AWS to deliver this session. The event underscores Wallarm’s commitment to advancing security practices for organizations operating at the intersection of AI, cloud, and API technologies.