Smith & Cohen (TechCrunch Disrupt 2026) — why application-level permissions won’t secure AI agents

Enterprises are learning to rebuild the basics of cybersecurity from scratch for agentic AI. Okta’s President of Products and Technology Ric Smith and NanoCo Co-Founder and CEO Gavriel Cohen explain what agent security takes at the infrastructure level and which architectural choices matter most.

TL;DR

A 28-minute stage conversation at TechCrunch Disrupt 2026, on the TechCrunch channel, 19 October 2026. Ric Smith, president of products and technology at Okta, and Gavriel Cohen, co-founder and CEO of NanoCo, maker of the open-source NanoClaw agent. Okta invested in NanoCo’s seed round, as both disclose. Five claims:

  1. Agents are the new insider. We give employees access through onboarding but have not done the same for agents, “yet we personify agents in the same way that we do a human worker.” “Identity’s always been the last perimeter.” Some companies now treat AI spend and headcount “interchangeably” in team budgets.
  2. “Don’t trust AI agents.” Not a reason to avoid them, but a design rule: enforcement “outside of the agent’s training, outside of the agent’s instructions, and outside of the agent’s environment.” Put the agent in a box, connect it on purpose, and ask for human approval only at the consequential step, typically “when it’s going to send that spreadsheet out to somebody else.”
  3. Check actions against the approved plan. NanoCo has the agent state its plan, the user approves it, and a judge model checks every action, asking not “is this safe or unsafe” but “is this aligned with the plan.” Okta’s version starts from deterministic fine-grained access and treats intent as a further narrowing.
  4. Locking agents out can make security worse. An employee at a large enterprise, unable to connect an agent to the data lake, exports “tens of thousands of records” of customer data each week and uploads them to Claude on the web. Smith has seen a company’s SOX compliance compromised the same way.
  5. Old debt is now dangerous. Unpatched CVEs are “time bombs”: anyone can run an open-weight model on “a rack of Mac minis” against them. Agents “look at your infrastructure like it’s Swiss cheese.” Smith’s first advice: run an N-1 patch programme.

Key claims

Why NanoClaw exists

Cohen started at the end of January 2026 by connecting frontier agents (through OpenClaw) “to everything,” setting security aside. “I got tremendous value from it. It did the work of an employee,” but with “major major security gaps,” so he built NanoClaw to give the same value without the compromise. Agents also need protecting: “If the agent has a browser, that browser has to be patched,” or an attacker can take over the agent’s accounts.

Two layers of control

Okta takes the broad view: agents get only specific toolkits, and an agent acting for a person receives that person’s grants, scoped, with every claim audited. NanoCo works around the agent itself: IT and security set the outer boundary of what agents may do; employees can tighten it; agents get least privilege by default, with policies on specific actions such as sending or searching email. The common mistake Smith sees is companies “running towards value” and discovering their exposure later, because the basic mapping of data, toolkits, applications and roles was never done.

Assume the agent escapes

Cohen: build least privilege into infrastructure as well as access, assuming container and even VM escapes (he cites a recently reported VM-escape zero-day): “what can this pod access? What can this node access? What can this VPC or this whole account access?” Smith: Mythos “put the nail in the coffin” on postponing the fundamentals, and creates “a tyranny in the system”: large firms can afford AI to find and patch vulnerabilities, while “a regional hospital out in the middle of Midwest… constantly barraged with ransomware… they’ve got no hope.”

Kill switches and owners

Both say agents need kill switches “at varying degrees”: revoking an employee’s access, changing a policy, cutting a tool, cutting inference, and a global switch for a whole account. But most companies are “very far from the kill switch because employee agents are running on laptops… where there’s no isolation.” NanoCo’s rule: “every agent needs to have an owner, somebody who is taking ultimate responsibility for it.”

Agent teams

Cohen expects the next three to six months to be about teams of agents, “probably a new scaling law” after training and test-time compute: “I’m running probably 32 agents on a team at the moment,” and he expects hundreds. Some labs argue agents will make better decisions than people and “we work for them”; he wants to build the future “where I’m still directing agents.” Smith’s customers are moving from agents acting for a user to agent-to-agent interaction and agent commerce. Cohen’s advice to founders: enterprise security reviews take “3, 4, 6 months,” so build for the problems of four to six months from now, and be “more ambitious.”

Dynamic-capabilities reading

  • contextual/external-triggers — Mythos-level offensive capability and cheap open-weight models turning old vulnerabilities into live risks.
  • contextual/internal-barriers — years of security debt, access never mapped before deployment, agents running on laptops without isolation, and lockdowns that push staff to riskier workarounds.

How it connects

What was actually ingested

The full session (28:30, length_seconds: 1710) from auto-generated captions; names and products are corrected in quotes. The moderator is not named in the captions. No stills: a stage conversation.

Linked entities and concepts

Dangling (single-source mention, deferred): Ric Smith, Gavriel Cohen, Okta (also named on the Klein page), NanoCo, NanoClaw.

Scope and reliability

Two vendors who sell agent security, one an investor in the other, on a conference stage. The anecdotes (the weekly customer-data export, the SOX case) are unverified, and the claims about agent teams as a scaling law are Cohen’s expectation. Its value is a concrete, current account of how agent access is being controlled in practice, including the argument that lockdowns can raise risk.