AI Data Access Security

Описание: This video provides a vital overview of security considerations for AI data access, emphasizing the core challenge that as Artificial Intelligence systems like ChatGPT and Gemini integrate into business workflows, the traditional boundaries of data control are blurring. The text explains that the security risk is comprised of three layers—data in transit, data in use, and data at rest—and underscores that AI introduces significant security, privacy, and legal risks, particularly concerning cross-border data transfers and compliance with laws like GDPR. Ultimately, the source advocates for a foundation of trust and governance, urging organizations to adopt enterprise-level tools, implement clear internal policies, maintain a human in the loop, and prioritize secure, transparent, or "sovereign" AI deployments to responsibly leverage its power.