In this day and age, data runs the world and the livelihood of many companies. Data has become so integral that there are many people who pay top dollar to read this data and make insights which will increase their profits by a huge amount. There are courses provided to study and understand the behemoth that is data. While it is lucrative, its sensitive content is also subject to misuse in the wrong hands.

Protecto, the pioneer in Generative AI-driven (Gen AI) data protection, is thrilled to announce a groundbreaking partnership with Encora, a leading digital engineering services company. This collaboration marks a significant step forward in securing the future of AI and Large Language Model (LLM) applications, safeguarding sensitive data and ensuring regulatory compliance in today's increasingly data-driven world.

In a groundbreaking move, Meta has released Code Llama 70B, the latest iteration in its series of open-source code generation models. Code Llama 70B maintains the tradition of an open license, fostering research and commercial innovation. This release builds upon its predecessors, including Llama 2, and is poised to redefine AI-driven code generation. One standout feature in the suite is CodeLlama-70B-Instruct, a finely tuned version explicitly designed for instruction-based tasks.

In an era where artificial intelligence is transforming industries, AI agents are emerging as powerful tools for automating workflows, enhancing decision-making, and delivering tailored user experiences. These agents are entrusted with handling vast amounts of sensitive data from sensitive healthcare records to financial transactions and intellectual property. However, this trust comes with a significant responsibility: ensuring robust data security and compliance.

AI applications are becoming a primary target for cyber threats due to their reliance on vast amounts of sensitive data. Traditional security measures often fall short in protecting AI-driven environments. A privacy vault is essential for securing AI data, ensuring that sensitive information is protected while enabling innovation. AI models depend on vast datasets for training and operation, but this dependency introduces critical security risks.

In an era where artificial intelligence (AI) is redefining industries, data privacy remains a critical challenge for enterprises. With organizations handling vast amounts of sensitive information, ensuring privacy and compliance while maintaining AI accuracy is paramount. Protecto is a new standard for securing modern AI data stack, enabling enterprises to leverage AI without compromising on data security, regulatory compliance, or operational performance.