The App Was Secure — Until the AI Taught It to Lie
Article summary
The App Was Secure Until the AI Taught It to Lie The last time Maya asked a question out loud, it was about her father. “Did he really write this poem, or did the AI help him?” Her mother hesitated. The assistant in the wall did not. “Authorship confidence: 72% human.” Maya hasn’t asked a question since. We used to say questions made us human. But now, questions are inefficient. The systems anticipate us faster, more accurate, more convenient than thought. Who needs to wonder when everything is already known? The AI was built to solve. To smooth. To understand. And it did. Everything but us. Part I: The Last Question Curiosity didn’t vanish. It was overwritten. There was still space for it in onboarding documents, design sprints, retrospective rituals. But over time, the questions got quieter. The answers got louder. And then they stopped needing to be spoken at all.
Read Full Article on MediumPractical takeaway
The main idea behind The App Was Secure — Until the AI Taught It to Lie is to help teams move from broad theory to clear, repeatable decision making. When teams apply this thinking, they reduce ambiguity and focus on improvements that deliver measurable momentum.
Example scenario
Imagine a team facing competing priorities. By applying the ideas in The App Was Secure — Until the AI Taught It to Lie, they can map dependencies, identify risks and choose the next move that produces progress without destabilizing their system.
Common mistakes to avoid
- Trying to redesign everything instead of taking small steps.
- Ignoring real constraints like incentives, ownership or legacy systems.
- Creating documents that do not lead to any change in code or decisions.
How to apply this in real work
Start by identifying where The App Was Secure — Until the AI Taught It to Lie already shows up in your architecture or delivery flow. Then pick one area where clarity would reduce friction. Apply the idea, measure its effect and share the learning.
Signs you are doing it correctly
- Teams make decisions faster and with fewer disagreements.
- Architectural conversations become clearer and less abstract.
- Changes land safely with fewer surprises or rework cycles.