Pithy Cyborg | AI News Made Simple
Pithy Cyborg | AI News Made Simple
Artificial intelligence creates new security and privacy problems that many people do not notice until something goes wrong. In this category, I write about prompt injection, data leakage, model fingerprinting, sensitive training data, chatbot privacy, workplace surveillance, and the risks that appear when AI systems are connected to real users, real tools, and real information.
Security in AI is not just about blocking obvious attacks. It is also about understanding how models expose data, how systems become exploitable, and how privacy can quietly erode inside everyday AI products. If you care about safe deployment, this category matters.
Browse the articles below to explore AI security and privacy.
Yes. A PDF passed to an AI workflow is treated as trusted content by default. If that PDF contains text formatted as instructions rather than content, the model reading it may follow those …
Continue Reading about Can Prompt Injection Hide Inside a PDF and Poison an AI Workflow? →
Removing internet access from an AI chatbot closes one data exfiltration channel. It does not close the others. Logs, shared context windows, prompt injection via uploaded files, insecure API key …
Demo environments are controlled. The inputs are predictable, the tools work reliably, and the task was chosen because the system handles it well. Real tasks have ambiguous inputs, tools that return …
