Best AI Usage Control Software for Box

Find and compare the best AI Usage Control software for Box in 2026

Use the comparison tool below to compare the top AI Usage Control software for Box on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Rippling Reviews
    Top Pick

    Rippling

    Rippling

    $8 PEPM
    20,747 Ratings
    See Software
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    The Rippling AI Spend Console is an innovative AI expense management solution designed to assist businesses in monitoring, analyzing, and managing their AI expenditures from a single platform. This tool integrates with various applications, including Anthropic, OpenAI, and Cursor, to provide a comprehensive overview of AI spending throughout the organization. Teams can dissect costs based on employee characteristics such as team or department, gaining insights into AI usage patterns. Additionally, the Rippling AI Spend Console links token expenses to pull requests and code assessments, enabling organizations to determine if their AI applications contribute to effective business results. The platform features capabilities for natural language inquiries, dashboard creation, request tracking, and governance over sanctioned LLM usage. Specifically tailored for organizations contending with rapidly increasing AI costs, the Rippling AI Spend Console empowers finance, IT, engineering, and operations teams to monitor usage, minimize waste, and effectively manage AI expenditures.
  • 2
    CloudEagle.ai Reviews

    CloudEagle.ai

    CloudEagle.ai

    $2000/month
    1 Rating
    CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and Identity Governance platform that helps organizations discover, govern, and optimize every SaaS and AI application across the enterprise, including applications outside traditional SSO or IT visibility.
  • 3
    Nightfall Reviews
    Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.
  • 4
    CyberTide Reviews
    CyberTide is an innovative data security platform that leverages AI to provide organizations with comprehensive visibility, control, and safeguarding of sensitive information across various environments, including cloud services, SaaS applications, collaborative tools, and generative AI settings. By integrating several security features into a cohesive framework, such as Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, it empowers teams to identify, categorize, and protect data in real time. The platform employs context-aware artificial intelligence to thoroughly analyze the meanings and interconnections of data, rather than depending solely on keywords, which greatly minimizes false positives while ensuring precise identification of sensitive content. It actively monitors data both at rest and in transit, encompassing communication channels like emails, chats, and files, as well as AI-generated prompts, all while enforcing stringent policies aimed at preventing unauthorized access, leakage, or misuse of confidential information, including personal, financial, and proprietary data. This proactive approach not only enhances security but also fosters a culture of data protection within organizations.
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