TechCrunch Disrupt 2026 will feature five AI safety sessions that focus on the challenges of deploying AI in enterprise environments. These sessions will help founders understand how to build AI systems that are secure and trustworthy.
The event is set to take place on October 13-15 at Moscone West in San Francisco, where more than 10,000 founders, investors, and tech leaders are expected to attend.
The sessions will cover a range of topics, including securing AI agents, enterprise AI deployment, and the security challenges of autonomous systems. Anthropic’s Cat de Jong will discuss her experiences with enterprises using Claude in critical workflows.
Okta’s Ric Smith and NanoCo’s Gavriel Cohen will address the security risks of AI agents. AWS’s Rudy Mitra, Luta Security’s Katie Moussouris, and cybersecurity veteran Wendy Nather will explore the infrastructure needed for secure enterprise AI.
Shield AI’s Nathan Michael, General Motors’ Mikell Taylor, and Waabi’s Raquel Urtasun will tackle the challenges of building AI systems where failure is not an option. They will discuss creating a safety culture, testing and validating AI, and navigating regulatory hurdles.
Nvidia’s Les Karpas will examine the data challenges facing physical AI and how to close the gap between simulation and real-world deployment.
"Robots have a data problem. They don’t have access to the massive pools of training data that helped accelerate advances in language models and self-driving vehicles," said Les Karpas, Nvidia Inception Global Head of Physical AI. He added that data pipelines, simulation environments, and foundation models could help close the gap and enable more capable and reliable robots.
The sessions come at a time when AI is moving from demos into real-world applications, raising concerns about security and trust. TechCrunch Disrupt 2026 aims to provide founders with the insights needed to build AI systems that enterprises and people can trust.
The event also includes 200+ sessions across six stages, roundtables, and breakouts, offering a comprehensive look at the future of AI.
Source: techcrunch
