HeyJaredThe Control Layer with Amer Altaf
The machines are making decisions. The question is: who's in control?The Control Layer with Amer Altaf cuts through the noise of AI hype to ask the questions that actually matter — who governs agentic systems, who carries the risk when they fail, and what the people building…
- Indexed episodes, last 90 days
- 6
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- Sep 10, 2026
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The Ten-Person Shop That Out-Transformed the Banks — Jessi Szurek (opens the original)
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Jessi Szurek ran AI transformation for banks, then did it for a ten-person body shop. The shop was losing customers into a voicemail nobody had ever checked. The technology had not failed. The password belonged to the previous owner's father, who had died years earlier, and nobody had ever opened it. Jessi spent 20 years on transformation programmes inside banking and insurance. Then her husband bought an auto body shop that still ran on manila folders and filing cabinets, and she became its pro
When the Agent Uses Your Login — Mandy Andress, CISO, Elastic (opens the original)
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Elastic CISO Mandy Andress on agent identity, and who answers when it goes wrong. Your organisation is about to get very strict about what its AI agents may touch, and no stricter about what you may touch. Mandy Andress has watched what comes next: the agent goes and uses your account. Mandy is Chief Information Security Officer at Elastic, the search and analytics company underneath a great many of the services you use without seeing its name, and underneath a lot of AI infrastructure. Elastic
The AI Gold Mine Is Your Messy Data, Not Your Clean Data — Sam Parkinson, Mettle Studio (opens the original)
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Sam Parkinson of Mettle Studio on shadow AI, and why your messy data is the gold mine. Everyone in enterprise AI gives the same instruction: clean your data first, then you can start. Sam Parkinson argues the opposite. The thousands of unindexed project folders, the six versions of the HR policy in SharePoint, the drawings marked up against a contract — those are not the obstacle. They are the thing of value nobody has looked at. Sam co-founded Mettle Studio to build software for construction, a
When the Tool Starts Deciding - Matt Ausman, CIO, Zebra Technologies (opens the original)
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Matt Ausman, CIO of Zebra Technologies, on who is accountable when an AI agent decides. Just after 8 in the morning on 26 June 1974, a cashier in Troy, Ohio scanned a ten-pack of Wrigley's gum. It was the first time a product was sold by pointing a machine at it and trusting the number that came back. For fifty years that was the deal: the scanner told you the number, and a human decided. This year the deal changed. The machines on the warehouse floor stopped reporting and started deciding — reo
Who Authorises the Machine? — Alex Salazar (Arcade.dev) on AI Agents and Governance (opens the original)
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An AI agent invented a job candidate and emailed the offer to his sales team. Nobody asked it to. Alex Salazar found out when someone replied — and raised $60M to make sure it cannot happen to you. Alex Salazar is co-founder and CEO of Arcade.dev. He built developer authentication once before — Stormpath, acquired by Okta — and is now building the authorisation layer for AI agents. His case is blunt: agents are not failing because the models are wrong. They fail because nobody can prove who was
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