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Bridging the Gap Between Artificial Intelligence and Data Security: Sanctum AI’s Solution for Businesses

blankHarnessing the power of artificial intelligence (AI) has become increasingly important for both individuals and businesses. AI technology, with its human-like intelligence, has the potential to boost productivity and accuracy. However, one significant concern that comes with many AI tools is privacy. Sanctum AI aims to address this issue by bringing the power of top-performing language models to local machines, bridging the gap between AI and data security.

Large language models (LLMs) are frequently highlighted in the media due to their impressive computing power and ability to accomplish complex tasks. However, many popular models are cloud-based, which poses additional risks for businesses. If the information within these systems is not secure, it can potentially lead to data breaches that spell disaster for businesses. Christian Crowley, co-founder of Sanctum AI, emphasizes that data breaches are a top concern for businesses and highlights that cloud-based systems do not provide full control over data.

While all businesses have a legal obligation to protect customer privacy, certain industries have more at stake. A survey conducted by the Pew Research Center reveals that 81% of Americans believe that AI companies will use collected information in ways they do not support, emphasizing the need for better protections. This risk of reputation loss is particularly high in industries such as legal, finance, research, healthcare, government, and development, where private data must be safeguarded. Unfortunately, cloud-based systems cannot guarantee the necessary level of security.

The rapid evolution of technology often leaves businesses struggling to keep up with available options and how to ensure safety with new technologies. Sanctum AI addresses these concerns by enabling businesses to keep information on their trusted devices, reducing risk. The local approach also offers the benefits that desktop applications have provided over cloud-based alternatives for years.

By running locally, Sanctum AI provides businesses with fast and encrypted responses, allowing access to the application even offline. This ensures that operations can continue uninterrupted, even during internet outages, enabling employees to work faster. In a world where downtime can result in substantial financial losses, having critical tools accessible is crucial.

Open-source LLMs are an ideal choice for businesses as they provide transparency into model architecture and training data, along with the benefits of community collaboration. With open-source models, businesses have the freedom to customize technology according to their specific needs. However, using open-source models without proper security measures can expose businesses to significant data risks.

Tyler Ward, co-founder of Sanctum AI, emphasizes the need for companies to keep their data in-house for maximum security. The Sanctum AI application brings the power of cloud-based systems to local business devices. Employees can interact with AI, allowing it to work with documents, files, and data. However, the information remains within the system, ensuring privacy. By choosing Sanctum AI, businesses can benefit from AI support without worrying about unauthorized access or misuse of their data.

Hackers are aware that cloud-based systems hold vast amounts of information, making them attractive targets for security breaches. Partnering with third-party vendors always carries some risk, as it is impossible to guarantee their honesty in data protection. A single mistake by a vendor can expose an entire company to legal risks and reputation damage.

Sanctum AI offers a fully encrypted environment and an intuitive interface, combining the best of AI with peace of mind for businesses. Regulatory standards can align with AI, enabling key industries to enjoy the benefits of these tools without compromising data security. Secure local AI is the safest way for businesses to leverage AI’s power while protecting their customers’ privacy.

(Note: This narrative has been created by rearranging and expanding upon the given content while incorporating relevant insights and analysis.)