Machine learning systems have revolutionized everything from image recognition to natural language processing, but they harbor a critical weakness that most users never see. Adversarial machine learning exposes the surprising fragility of AI systems, revealing how sophisticated algorithms can be fooled by seemingly innocuous modifications to input data. Understanding these vulnerabilities isn’t just an academic … Read more
Machine learning models deployed as endpoints represent one of the most critical assets in modern AI-driven organizations. These endpoints serve predictions, handle sensitive data, and often process thousands of requests per minute. However, with great power comes great responsibility—and significant security risks. Securing ML endpoints with IAM and VPCs forms the cornerstone of a robust … Read more
Large Language Models (LLMs) have revolutionized artificial intelligence applications, powering everything from chatbots to code generation tools. However, their widespread adoption has introduced new security vulnerabilities, with prompt injection attacks emerging as one of the most significant threats. These attacks exploit the way LLMs process and respond to user inputs, potentially compromising system integrity and … Read more
