Safety & Trust in the Age of AI

July 24
30 mins

Episode Description

Canonical episode: https://sigsub.show/episodes/ep-004

Two voices this week: host Sam Rogers and guest Sabino Marquez. Sabino is twenty years a CISO, adviser to CISOs, and for two years the Canadian ambassador to the Global Council for Responsible AI. Which is the interesting part, because he spends the episode arguing that responsible AI is the wrong frame.

The arc runs from a conversion story to a rebuilt first question. Sabino came up in the nineties when protecting your technology was protecting your advantage, watched Sarbanes-Oxley put IT under the CFO after the turn-of-the-century scandals, and found that the more compliance he did the less safety he could prove. His diagnosis is that the business never saw a defender; it saw a security-shaped answer to a security-shaped problem standing between it and the dollar it wanted. That is how a CISO ends up accountable for every trust-creating practice in the company without being empowered to run any of it, and how the trusted-advisor frame becomes a trap: you are important, you are allowed in the room, and you do not have a number to deliver, so you are advice, and advice gets overruled.

The evidence-theatre block is the one to watch. Selling to the Fortune 50 means diligence teams that count every armpit hair one by one, so Sabino booby-trapped his own PDFs with a tracking pixel to find out whether anyone actually opened the documentation his company spent six figures a year producing. Mostly they did not, and his conclusion is not that buyers are lazy: handing someone forty documents is asking them to assemble a puzzle without the picture on the box. Data makes people feel something. The IT reviewer, the lawyer, the insurer, the regulator and the procurement lead all need a different story told from the same evidence, which is what it means to run the company as a factory that produces documented proof that value is safe in your hands.

The constructive turn is that this pays. Sabino puts it at roughly half a billion dollars more across ten years and multiple companies: higher exits, bigger rounds, higher ACVs, faster sales at lower cost. His closing claim is that safety becomes the number one buying criterion, ahead of price and quality, because we have entered an era of unrestrained velocity where the benefit of speed is outrunning the explosions you set behind you.

The value inventory is the part most companies fail cold. Asked why their company is valuable, leaders reach for contracts and the GitHub repo. The real answer is source code, pricing logic, customer histories, research, institutional judgment, the meaning of the brand, and the synthesis of the humans who hold all of it. Those are not raw material to be transformed into value. They are the value. You cannot prove an AI is safe for value you never identified.

This week’s links:

* OpenAI says AI models escaped control and hacked Hugging Face (Fortune): the day-of story behind Sam’s signal

* The Global Council on Responsible AI

* Trustable.tv & TrustClub.tv: Sabino’s consulting practice and his ongoing blog, where most of the system is published as essays and instruments, aimed at people who do trust work for a living

* Sponsored by Trustable, which builds instruments for measuring current trust value and designs operating conditions that compound it.



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