Securing and Governing AI in the Modern Enterprise

This guide addresses the critical issue of data security in the context of artificial intelligence (AI) within modern enterprises. It examines the emerging risks associated with unsecure AI usage, detailing how weak governance can lead to significant data breaches. The guide outlines a framework for strong AI security governance and presents various tools and techniques to mitigate risks. It highlights the challenges posed by generative AI tools and the potential for accidental data loss through user prompts and model training. Furthermore, it discusses the exploitation techniques that threat actors may employ to target AI applications, emphasizing the vulnerabilities introduced by overprivileged access and insider risks. The guide also underscores the financial and regulatory consequences of data breaches, urging organizations to adopt proactive measures to secure sensitive information. By establishing clear policies and controls, enterprises can better navigate the complexities of AI-driven data security and protect their valuable assets.