Acante in partnership with Commvault, a renowned data management company, plays a pivotal role in ensuring the security and resilience of data in the era of artificial intelligence (AI). They emphasize the importance of securing the data fed into AI systems, including large language models (LLMs), to unlock their full potential. In the face of growing ransomware attacks and data breaches, seamless integration with Commvault Cloud provides unparalleled protection.
The first wave of AI security efforts often overlook the data layer, where new and critical security and privacy concerns arise. This oversight can lead to vulnerabilities in AI systems, compromising their accuracy and reliability. Commvault advocates for unified governance of data and AI, recognizing the intricate relationship between the two.
The recent release of Unity Catalog as an open-source solution by Databricks is a significant development in this space. This move acknowledges the need for a unified governance framework that addresses the complex security and privacy concerns associated with data and AI. Commvault's perspective highlights the importance of prioritizing data governance in AI success. By integrating data security and AI, organizations can unlock the value of their proprietary data, ensuring the accuracy and reliability of AI-driven decisions.
This approach not only mitigates risks but also enables businesses to harness the full potential of AI. The integration of Commvault Cloud with Databricks' Unity Catalog has the potential to revolutionize data governance in AI. This collaboration highlights the increasing acknowledgment of data security and governance as fundamental pillars in AI development. As artificial intelligence continues to evolve, ensuring robust security measures and ethical governance becomes crucial for fostering trust, compliance, and responsible innovation.
What are your thoughts on the growing importance of data governance in AI development?
Do you believe that companies like Commvault and Databricks are taking the right approach in addressing the security and privacy concerns associated with AI?
