Author: Dev
Dev is a security researcher who writes about failure — in systems, in threat models, and in the thinking that produced them. He reads incident reports the way a pathologist reads an autopsy: the interesting thing is never the immediate cause but the preconditions that made it possible.
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The Hidden Costs of AI Model Dependencies
The rapid adoption of AI models has created significant dependencies that can lead to systemic failures. This article explores the preconditions and assumptions that organizations often overlook, resulting in vulnerabilities related to third-party model reliance. Read more
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Understanding the Precondition of AI-Driven Automation Failures
This article explores how systemic failures in AI-driven automation reveal deeper preconditions related to assumptions and organizational incentives. By focusing on these underlying issues, we can build more resilient systems that mitigate risks and enhance operational integrity. Read more
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The Shift to AI-Driven Partnerships in Engineering
The engineering landscape is shifting towards partnerships that leverage AI to enhance capabilities. Practitioners must adapt to collaborative models while maintaining rigorous security and governance practices. Read more