Keeping Data Secure and Compliant in the AI Paradigm Shift

AI is changing how organizations use data, but it’s also creating new risks along the way. Sensitive data flows into model pipelines, training sets, third-party APIs, and generative outputs?potentially leaking private information in large language models and making companies face regulatory scrutiny around AI decision-making. Traditional security frameworks weren’t built for this.