AI agents are rapidly moving from demos into production, but intelligence isn't the biggest challenge. Trust is.
In this episode, Kim Isenberg and Peter Thum sit down with Alex Salazar, co-founder and CEO of Arcade and former VP of Product at Okta, to explore why permissions, governance, and identity are becoming the critical infrastructure for enterprise AI.
Alex explains why today's agents often fail in production, why giving an AI agent unrestricted access is dangerous, how MCP differs from traditional APIs, and why guardrails alone aren't enough to secure autonomous systems.
The conversation also covers how Fortune 500 companies are deploying AI agents today, why human–agent collaboration is outperforming full autonomy, and what still needs to be solved before AI agents can safely operate across enterprise software.
Topics covered:
Why AI agents fail in production
Authentication vs. authorization
MCP vs. APIs
Enterprise security and governance
Least-privilege access
Human + AI workflows
Agent hallucinations and risk management
Fortune 500 AI deployments
The future of enterprise AI infrastructure
Guest: Alex Salazar CEO & Co-Founder, Arcade
Subscribe for more conversations with the builders shaping the future of AI, enterprise software, robotics, infrastructure, and frontier technology.
Podden och tillhörande omslagsbild på den här sidan tillhör
Kim Isenberg & Peter Thum. Innehållet i podden är skapat av Kim Isenberg & Peter Thum och inte av,
eller tillsammans med, Poddtoppen.