Home Commvault Legal Responsible AI Principles for Responsible AI Commvault is committed to ethical AI development and deployment. See our principles Commvault Trust Center Responsible AI Gen AI Video AI Principles Related Resources FAQs Explore the Trust Center video Commvault and Gen AI As a cyber leader, we’re committed to understanding both the strengths and weaknesses of GenAI, along with its associated risks. Our strategy is to implement GenAI cautiously, focusing on safety and measured deployment. Building Responsible and Trustworthy AI Systems Principles that shape our approach to AI To guide our practices and shape our approach to AI, we have established the following principles, which embody our dedication to ethical AI development and deployment. Reliability, safety, and control We prioritize our AI systems’ reliability and safety by implementing rigorous testing, quality assurance protocols, and security measures. Transparency and explainability We provide clear explanations for AI decisions whenever appropriate, enhancing understanding of data usage, decision rationale, and outcomes. Fairness and bias mitigation Our AI systems are designed to operate fairly and impartially. We continuously evaluate our algorithms to identify and mitigate unintended biases, striving for just and inclusive AI. Human-centered approach We make sure AI-driven insights are delivered to humans to aid decision-making and are not used to initiate actions autonomously. Data privacy and security Our AI systems are tightly integrated with Commvault® Cloud, restricting access to its functionalities from outside the platform. Our industry-leading security features are in place, including role-based access controls (RBAC). Accountability and governance Our governance framework includes comprehensive risk and impact assessments to proactively identify and address potential ethical concerns. Explore Metallic® AI Metallic AI serves as the intelligent management and control layer within Commvault Cloud, leveraging a powerful mix of machine learning and automation to boost performance and efficiency across all aspects of the platform. Learn more Related resources Learn more about Commvault's AI policies Infographic Commvault Principles for Responsible Artificial Intelligence To guide our practices and shape our approach to AI, wehave established the following principles which embody ourdedication to ethical AI development and deployment Read more Blog Guiding Principles for Responsible AI Read the details of the steps Commvault takes to implement AI responsibly. Read blog Commvault Policy Commvault Privacy Policy We respect your privacy and are committed to providing transparency into our data-management practices. Read more datasheet AI in Commvault? Cloud Discover how and where we are using AI in Commvault Cloud. Read more Frequently Asked Questions (FAQs) View all 14 comprehensive questions here How does Commvault use AI in its products and services? 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 How do you use Generative 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. What ethical principles guide Commvault’s development and use of AI? 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. What data do you collect to train your Generative AI? 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. Can I opt out of or disable Generative AI features in your products and services? 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.