Red teaming is attacking your own system on purpose, to find the weaknesses before someone else does. It finds holes. It never proves there are none.
A short explainer video, under a minute. The bank, the locksmith and the robot are an illustration.
At a glance
What Red Teaming Is
AI companies do the same before a launch. A team is paid to attack the assistant: to trick it, to pull out private data, to make it say what it should not.
Two Honest Limits
The video's board lists two limits. It finds holes.
Why It Matters
The video turns this into one question: who has tried to break this before our customers do?
Picture a bank that is about to open a new vault. It pays a locksmith to break in. Better him than a thief.
He finds the weak hinge, and it gets fixed.
What Red Teaming Is
AI companies do the same before a launch. A team is paid to attack the assistant: to trick it, to pull out private data, to make it say what it should not.
That practice is called red teaming: attacking your own system on purpose, to find the weaknesses before someone else does.
Two Honest Limits
The video’s board lists two limits. It finds holes. It never proves there are none.
And when the model changes, the test starts again.
Why It Matters
The video turns this into one question: who has tried to break this before our customers do?
Every system gets attacked. Better that the first attacker works for you.
The key insight: Every system gets attacked. Better that the first attacker works for you.
The honest limit
The video's board lists two limits. It finds holes. It never proves there are none.
And when the model changes, the test starts again.
Red teaming rehearses an attack before it happens. OpenAI’s post, as our report describes it, covers one it says it found in the wild: earliest observed activity on 1 July, a spike on 24 and 25 July, and full disruption by 28 July.
From our news coverage
OpenAI says it attributes a core cluster of the activity to individuals associated with Moonshot AI, and says it is unclear whether all the operators it observed came from a single actor. The attribution is OpenAI’s own assessment.
The Business Engineer Lens
Where this idea sits in the Business Engineer library:
The Business Engineer framework maps where each part of the AI stack sits and who holds the leverage. These pills are short lessons from the same library.
Red Teaming builds on Attack Surface(lesson unlocks soon). A red team tries every door, tricking the assistant and pulling out private data, before a real attacker does.
Red Teaming contrasts with Post-Market Surveillance(lesson unlocks soon). Red teaming attacks before launch and never proves there are no holes; surveillance keeps watching in real use.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
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