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The Secure AI Imperative: Transforming Business with Confidential Computing
In early 2023, Samsung’s engineers discovered a devastating truth: every line of proprietary chip-manufacturing code, testing protocol, and strategic discussion they fed into ChatGPT was being absorbed into OpenAI’s public model. Billions of dollars in competitive advantage vanished in days. This wake-up call exposed the fundamental dilemma facing
The Hidden War in AI: How LLMs Became Targets and How We're Fighting Back
In the quiet hours of a research lab in early 2024, Dr. X stared at her computer screen in disbelief. The large language model her team had been training for months was suddenly generating bizarre responses—recommending dangerous medical treatments and providing instructions for illegal activities. What had gone wrong?
Critical AI Security Vulnerabilities
Data-Related Vulnerabilities Data Poisoning occurs when attackers inject malicious or incorrect data into training datasets, causing AI models to make false predictions or compromised decisions. This attack can be particularly dangerous because it gradually sabotages model performance over time. Model Inversion Attacks allow adversaries to reconstruct sensitive training data by