The Future of AI-Driven Security Depends on Complete Data

The article argues that AI-powered security solutions are failing because they are often fed incomplete data. Traditional security systems filter and normalize data, resulting in a loss of context and preventing AI from accurately detecting complex attack chains. To truly leverage AI for security, organizations need to provide it with complete, unfiltered data – including operational data, identity information, and proprietary assets – while maintaining control over where that data resides and how it's used. The key is not just the sophistication of the AI model, but the availability of a full, contextualized data set.