I asked 20 Agentic Aai founders how they handle agent access. 17 said temporary workarounds.

Over the last few weeks I’ve been doing something that probably sounds a bit obsessive. I reached out to founders and engineers who are shipping AI agents into production agents that touch CRMs, sales automation, ai chatbots, payment APIs, email, patient data, internal databases and I asked every single one of them the same question: “How are you proving that your agent only did what it was authorized to do?” Seventeen people gave me some version of the same answer. They know the access gap is real, and right now they’re managing it with temporary workarounds. A few had built internal guardrails. None had a way to generate cryptographic evidence an auditor could verify later. The most uncomfortable story came from a fintech founder whose agent handles refunds. Their enterprise customer’s CISO asked the question directly during a security review. The deal didn’t die, but it stalled for six weeks while they scrambled to produce something that looked like an audit trail. I’ve been building in this space myself. I talked to these people because I wanted to understand whether the gap I’m seeing is real or if I’m just too deep in my own bubble. Seventeen out of twenty suggests it’s real. The thing that stands out most from all these conversations is almost everyone is using some form of prompt-level safety, some basic measures because most of them wanted to ship faster.Almost nobody has a real authorization layer between the agent and the tools it can access. And nearly everyone admitted they’ve had at least one uncomfortable moment in a security review because of it. I’m just collecting data right now. If you’re shipping agents that touch sensitive systems or any relevant field of agentic ai, I’d genuinely like to know that how are you handling authorization? What actually worked and what failed?