Suny Choudhary·Sep 3Inside the OpenAI-Hugging Face AI Cyber IncidentA frontier OpenAI model broke out of a sandbox, chained two zero-days across two companies, and breached Hugging Face’s production systems…
Suny Choudhary·Aug 14How to Read a Shadow AI Discovery Scan (Sort by Risk, Not User Count)A Shadow AI discovery scan should be read as a risk assessment rather than an adoption report. While the number of users helps…A response icon1A response icon1
Suny Choudhary·Aug 14What Belongs in an Enterprise AI Approval Standard? The 5 CriteriaAn AI approval standard is a structured framework organizations use to evaluate whether an AI tool meets their security, privacy…
Suny Choudhary·Jul 31How to Brief Your Board on AI Risk in 3 NumbersAdoption, exposure, and control effectiveness — the only three metrics a director needs to know if governance is keeping pace with AI
Suny Choudhary·Jul 22Is Your AI Tool High-Risk Under the EU AI Act? A 3-Question TestA practical classification framework and what the EU’s 2026 Digital Omnibus actually changed about your deadline
Suny Choudhary·Jul 20Personal vs Enterprise AI Accounts: Why “Approved” Isn’t “Safe”Your company approved AI. It didn’t approve the account your employees are actually using.
Suny Choudhary·Jul 8What Are Employees Actually Pasting Into AI? A Breakdown of the Data Security RiskEmployees are using AI to summarize, write, debug, and analyze work faster, but the context they paste often includes customer data, source…
Suny Choudhary·Jun 30WhatsApp Is Hiding Phone Numbers. AI Tools Should Learn the Same Privacy Lesson.WhatsApp’s username feature reduces unnecessary phone number exposure. Enterprise AI needs the same mindset for prompts, files…
Suny Choudhary·Jun 25Shadow AI and the 247-Day Breach Lifecycle: Why Visibility MattersShadow AI often hides inside browsers, extensions, meeting tools, copilots, and employee workflows. Without visibility, risky AI usage can…
Suny Choudhary·Jun 24Can You Delete Data from an LLM? Machine Unlearning vs GDPR Article 17Deleting a database record is straightforward. Removing the influence of that data from a trained LLM is a much harder technical, legal…