TALK
THU MAY 7 • 4:15 PM - 5:00 PM
How Temporal Powers Salesforce's AI-Driven DDoS Protection
We built Salesforce’s next-generation DDoS protection on Temporal, where AI agents infer attack patterns in real-time while orchestrating defense workflows at scale. We’ll share how we coordinate AI-driven defenses across regions and achieve reliability when protecting millions of customers. We’ll also show how AI transformed our development using Cursor and Windsurf to build Temporal workflows.
Simone is a Principal Network Security Engineer at Salesforce, where he architects AI driven DDoS defenses that protect millions of customers on one of the world's largest SaaS platforms. He holds a PhD and has authored peer reviewed publications and patent applications in AI, quantum computing, and network security. Simone is a seasoned conference speaker, having presented at events including SharkFest, FOSDEM, and industry meetups across the US and Europe.
Prabhat Singh is the Senior Vice President of Software Engineering at Salesforce, based in San Jose, California. A recognized leader in cloud infrastructure and cybersecurity, Prabhat specializes in building highly scalable, secure environments for enterprise cloud platforms. He holds multiple patents in Networking, Network Security, Web application firewalls (WAF), and Generative AI systems. At Salesforce, he plays a pivotal role in leading global Networking and Security, including advanced DDoS protection strategies and infrastructure modernization across platforms like Agentforce, Data Cloud, and GovCloud.
Principal Network Security Engineer at Salesforce with 7+ years across network security, web security, and software engineering. A Carnegie Mellon University graduate, I build cloud-scale security platforms that are safe, resilient, and operationally reliable.
At Salesforce, I architect and ship systems that secure public cloud infrastructure and orchestrate Layer 3/4 and Layer 7 controls—powering best-in-class DDoS mitigation and web application protections for customers worldwide. I also enjoy applied ML/AI research in security, focused on practical, trustworthy approaches that improve detection, decisioning, and automated response.
I’m drawn to ambiguous, high-stakes problems and enjoy building systems that are measurable, reliable, and easy to operate—backed by automation, guardrails, and observability.