Episode

Interview #81 Vrajesh Bhavsar, CEO of Operant AI

Podcast
The Artificial Intelligence Podcast
Published
Jan 1, 2026
Duration seconds
2006
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/tonyphoang/episodes/Interview-81-Vrajesh-Bhavsar--CEO-of-Operant-AI-e3cmt0h
Audio
https://traffic.megaphone.fm/APO6053355719.mp3
JSON
/v1/public/podcasts/the-artificial-intelligence-podcast-3635848/episodes/interview-81-vrajesh-bhavsar-ceo-of-operant-ai
Markdown
/podcast/the-artificial-intelligence-podcast-3635848/interview-81-vrajesh-bhavsar-ceo-of-operant-ai.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/the-artificial-intelligence-podcast-3635848/episodes/interview-81-vrajesh-bhavsar-ceo-of-operant-ai/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/the-artificial-intelligence-podcast-3635848/interview-81-vrajesh-bhavsar-ceo-of-operant-ai.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

Join Vrajesh Bhavsar, CEO of Operant AI, as he reveals the emerging threat landscape facing production AI systems, from sophisticated prompt injection attacks to zero-click exploits that can exfiltrate sensitive data without any user interaction. Bhavsar explains how traditional security tools like code scanning, network firewalls, and cloud security posture management become largely ineffective against AI agents operating with non-deterministic behavior and authorized access to critical systems, requiring runtime security solutions that function as AI-layer firewalls. He discusses the Shadow Escape attack class discovered by Operant targeting Model Context Protocol (MCP) servers, where the rapid proliferation of 20,000 mostly open-source MCP servers creates dangerous shared memory spaces across disparate API endpoints, enabling data poisoning and exfiltration at scale while traditional security teams remain blind to these agent-to-agent interactions happening within the "cloud within the cloud."