Principles for Responsible AI 

For over a decade, we have leveraged artificial intelligence, machine learning, and intelligent automation to enhance our platform’s capabilities. This AI improves data protection and recovery operations, and assists customers in managing risk, locating sensitive data, and more.  
 
At the heart of our AI innovations is Metallic AI, our intelligent control layer that powers Commvault Cloud. From automation and machine learning to advanced AI, Metallic AI brings greater performance and efficiency to every aspect of the Commvault Cloud platform. 
 
To learn more about Metallic AI, visit commvault.com/platform/metallic-ai 

We leverage Generative AI to streamline the configuration and use of Commvault Cloud. Specifically, it is used to power Arlie, our AI assistant. Users can interact conversationally with Arlie to learn how to use the product and troubleshoot errors, making it easy to use, even for novices. This approach not only simplifies the user experience but also optimizes feature utilization to its fullest potential. Arlie’s capabilities include:
 
Active Insights: AI troubleshooting to discover operational issues in Commvault Cloud. Get insights, recommendations, and steps for resolving job issues. 
 
API Code Assist: Offers a “no-code” way to build an integration or code an action. Simply type a description of what you want to do in natural language and get step-by-step instructions on the APIs to use and how to use them.  Arlie maps commands to REST APIs supported by Commvault, providing a user-friendly experience for developers of all skill levels. 
 
Custom Walkthroughs: Context-sensitive, guided product walk-throughs that make it easy to perform new tasks in Commvault Cloud.  
 
Arlie™ Chatbot: Ask “how-to” questions and get step-by-step guidance on configuring and using Commvault Cloud to maximize cyber resilience. 

We seek to harness the power of Generative AI through responsible AI deployment.  The NIST AI Risk Management Framework (RMF) 1.0 best practices are our guiding principles.  We implement continuous monitoring systems to detect and mitigate any unintended behaviors or vulnerabilities. Additionally, we prioritize transparency by providing clear documentation and explanations of our AI systems’ decision-making processes. For example, in certain Arlie features, including Arlie™ Chatbot and API Code Assist, we provide users with references to the sources from which the output has been extracted. Additionally, our product documentation provides information on Arlie’s architecture and the data used to generate output. Read the documentation here.  
 
These measures help our AI deployment to be responsible, safe, and secure so that our customers can confidentially leverage the benefits of AI. 

Learn more about our Responsible AI Policy here.  

Read how Commvault implements Responsible AI practices in this blog post.

None. We utilize pre-trained LLM from OpenAI and feed relevant data into them as context to extract insights and responses. For example, Arlie, the AI assistant for Commvault Cloud, utilizes pre-trained LLM along with context from Commvault product and API documentation, user query, error codes, error descriptions, and anonymized customer support resolutions. User queries guide generative AI responses, they are not used for the AI’s training purposes, preserving the integrity of our data-driven insights. Human supervision oversees our generative AI output to confirm anonymization.    

Yes. The AI assistant for Commvault Cloud, Arlie, is optional for installed software and can be activated or deactivated at any time according to customer preference. In Commvault Cloud SaaS, Arlie is enabled by default to enhance user experience, but it does not collect any data in the background, maintaining customer data privacy. SaaS customers may opt out of using Arlie entirely if they prefer.