Techstrong TV — Thu, Jul 30

Why Trust Is Agentic AI's Biggest Bottleneck

Alan Shimel with Anudeep Parhar

The agentic AI trust bottleneck is the reason most enterprise AI projects stall in pilot. Anudeep Parhar, Chief Operating Officer for Digital at Entrust, joins Alan Shimel to explain what that bottleneck really is and how to break through it. Anudeep opens with his background. He is a three-decade technologist who has built, sold, bought and implemented enterprise software. Furthermore, he leads Entrust's digital operations and its new AI initiative. Consequently, he brings both sides of the buyer and vendor equation into the conversation. He then frames Entrust for viewers who may not know the six-decade-old identity-centric security company. Entrust protects both physical and digital assets and keeps identity at the center. Meanwhile, its digital business has been growing as AI reshapes what enterprises need to secure. Alan pivots the conversation to the harder question. Cost is the first bottleneck for enterprise AI, but the agentic AI trust bottleneck is close behind. Between 70 and 90 percent of agents built today never reach production. In addition, roughly 20 percent of that shortfall traces directly to trust concerns. In regulated industries the number climbs to 50 or 60 percent. Anudeep argues the missing layer is a trust plane. Enterprises need to prove intent, consent and action for every agent and sub-agent. As a result, security teams, risk officers and auditors can replay what an agent did and defend it. Without that layer, the agentic AI trust bottleneck will keep the productivity gains locked in the lab. Entrust just launched the Trust Accelerator to help customers define that trust layer together. Visit entrust.com/accelerator to join the program or ask your Entrust representative for the on-ramp that matches your stage.