Best IT Security Software for Jupyter Notebook

Find and compare the best IT Security software for Jupyter Notebook in 2025

Use the comparison tool below to compare the top IT Security software for Jupyter Notebook on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    OAuth Reviews

    OAuth

    OAuth.io

    $19 per month
    Concentrate on your primary application and accelerate your market entry. OAuth.io takes care of your identity infrastructure, ongoing maintenance, and security concerns, freeing your team from these challenges. While managing identity can be complex, OAuth.io simplifies the process significantly. You can select your preferred identity providers, incorporate custom attributes, personalize your login page or utilize our widget, and seamlessly integrate with your application—identity management completed in just a few minutes. Our user-friendly dashboard allows you to oversee your users effortlessly—search for and manage user accounts, reset passwords, implement two-factor authentication, and set up memberships and permissions with OAuth.io's intuitive User Management system. Experience comprehensive, highly secure user authentication options, whether using passwords or tokens. OAuth.io accommodates everything from multi-tenant setups to intricate permission structures, ensuring robust user authorization modeling. Additionally, enhance your user authentication experience by implementing a second factor with our widely used integrations. This enables you to maintain a high level of security while keeping user management simple and efficient.
  • 2
    Okera Reviews
    Complexity is the enemy of security. Simplify and scale fine-grained data access control. Dynamically authorize and audit every query to comply with data security and privacy regulations. Okera integrates seamlessly into your infrastructure – in the cloud, on premise, and with cloud-native and legacy tools. With Okera, data users can use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.
  • 3
    NVIDIA Morpheus Reviews
    NVIDIA Morpheus is a cutting-edge, GPU-accelerated AI framework designed for developers to efficiently build applications that filter, process, and classify extensive streams of cybersecurity data. By leveraging artificial intelligence, Morpheus significantly cuts down both the time and expenses involved in detecting, capturing, and responding to potential threats, thereby enhancing security across data centers, cloud environments, and edge computing. Additionally, it empowers human analysts by utilizing generative AI to automate real-time analysis and responses, creating synthetic data that trains AI models to accurately identify risks while also simulating various scenarios. For developers interested in accessing the latest pre-release features and building from source, Morpheus is offered as open-source software on GitHub. Moreover, organizations can benefit from unlimited usage across all cloud platforms, dedicated support from NVIDIA AI experts, and long-term assistance for production deployments by opting for NVIDIA AI Enterprise. This combination of features helps ensure organizations are well-equipped to handle the evolving landscape of cybersecurity threats.
  • 4
    Noma Reviews
    Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.
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