As organizations move from experimental AI to operational agentic workflows, the stakes for security and scalability have never been higher. In this session, we will break down the blueprint for integrating autonomous agents into complex, high-stakes infrastructures. Drawing from my experience architecting Zero Trust platforms at organizations like Palo Alto Networks and Intuit, I will share a deep-dive case study on building real-time, agentic security workflows designed to defend against evolving AI-generated threats. I will share how I bridge the gap between software engineering and AI-driven risk mitigation to ensure resilient architectures.
Join this session to hear how to:
Validate High-Value Use Cases: Discuss how we selected and validated use cases, such as automated fraud detection and secure session lifecycle control, to ensure they meet stringent enterprise demands
Orchestrated Agents: Hear a technical framework for deploying agents across micro-frontend architectures and multi-tenant environments using React.js, TypeScript, and Vite
Human-in-the-Loop Design: Learn about the design decisions made to balance agent autonomy with human oversight, ensuring that critical security actions, like managing remote connection identifiers, remain auditable and governed
Future-Proofing AI Deployments: Detail strategies for defending architectures against adversarial AI attacks and deepfake-driven authentication bypasses
Scaling and Metrics: Walk through the metrics used to prove value, such as reducing support tickets and improving perceived performance, and how to address the challenges of scaling real-time applications for a seamless user experience
Check out the incredible speaker line-up to see who will be joining Gokul.
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