Why Your AI Strategy Needs SafeDataOps In the current AI-driven landscape, traditional "static" data governance is no longer sufficient to manage the velocity and risks of Large Language Models (LLMs) and autonomous agents. Safe Data Operations (SafeDevOps) is a critical new operational discipline that integrates sovereign business knowledge, real-time observability, and AI safety into a single, proactive framework. By transitioning from reactive "gatekeeping" to proactive "sovereign operations," businesses can accelerate market deployment of AI tools by up to 40%, and reclaim ownership of their proprietary intelligence. This is the shift from documenting policy to running a high-performance, safe, and resilient business engine. Why Your AI Strategy Needs Safe Data Operations For thirty years, we treated Data Governance as a collection of binders—a series of "thou shalt nots" designed to satisfy auditors and keep data safely tucked away in a ...
How to Audit Browser Extensions for Malware Using AI The Challenge: Browser Extension Privacy Risks Many users rely on web browsers like Google Chrome , Vivaldi , and Midori for their daily tasks. To enhance functionality, we often install extensions such as DuckDuckGo Tracker Protection or uBlock Origin Lite . However, a significant security problem exists: many extensions request extensive permissions, such as "read all data on all websites." This creates a potential risk for sensitive activities like online banking. How can a user verify if an extension is collecting or transmitting data maliciously? The Solution: Static Code Analysis with Perplexity.AI You can perform a personal security audit on any browser extension by combining open-source tools with Large Language Models (LLMs). This method allows non-programmers to review code for malicious behavior effectively. Step-by-Step Guide to Checking Extension Safety Here is the workflow I use to ensure my extensions are s...