According to a new press release, Privacera, a prominent player in cloud data governance and security, has officially launched Privacera AI Governance (PAIG), a comprehensive generative AI governance solution. PAIG is designed to empower organizations to harness the potential of generative AI (GenAI) technologies while ensuring data security and ethical compliance throughout the AI application lifecycle. It covers every aspect, from data discovery and securing sensitive fine-tuning data to user interactions that influence AI models and continuous monitoring through audit trails. The rise of Large Language Models (LLMs) has created new opportunities and challenges, such as sensitive data exposure, IP leakage, and regulatory compliance failures, making secure AI governance essential.

Balaji Ganesan, co-founder and CEO of Privacera, emphasizes that data-driven organizations must integrate GenAI into their security and governance strategy to leverage its transformative potential without compromising security. PAIG provides deep visibility into the risks associated with using any GenAI model and helps apply consistent controls to both AI applications and their underlying data. It is designed to protect a wide range of GenAI applications, models, and data types, including structured, semi-structured, and fully unstructured datasets.

Key capabilities of PAIG include discovering and classifying sensitive data, protecting models from exposure to sensitive data, and securing models from sensitive data inputs and outputs in real time. It also offers comprehensive observability, integration with existing security tools, and an open SDK for seamless integration with GenAI applications and LLM libraries.

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