Thinfinity Workspace
Key Features of Thinfinity Workspace 7.0:
- Utilizes Progressive Web App (PWA) technology to enhance user experience seamlessly.
- Combines Thinfinity VNC, VirtualUI, and z/Scope for unparalleled flexibility.
- Offers HTML5 terminal emulation compatible with DEC terminals, as well as TN 5220 and TN 3270 protocols.
- Includes comprehensive enterprise-grade audit logs to ensure robust security and compliance management.
- Employs a proprietary VNC protocol for effective real-time monitoring and troubleshooting.
ENHANCE USER EXPERIENCE
- Distribute essential applications, desktops, and files through a unified web portal.
- Simplify remote browser access for users, limiting them to only the necessary resources for their tasks.
STREAMLINE IT AND ELIMINATE VPNS
- Move away from traditional VPN setups and their associated complexities.
- Facilitate access from any device, including Chromebooks and mobile devices, with just a web browser—no setup required.
PROTECT YOUR BUSINESS SECURITY
- Utilize connections that are encrypted to enterprise-grade standards.
- Seamlessly integrate with both internal and external identity management systems.
- Implement two-factor or multi-factor authentication policies across all identity platforms, ensuring an additional layer of security for user access.
- This comprehensive approach not only enhances user experience but also strengthens overall system integrity, making it a vital tool for modern businesses.
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Resolver
More than 1,000 organizations globally rely on Resolver’s software for security, risk management, and compliance. This includes a diverse range of sectors such as healthcare, educational institutions, and vital infrastructure entities like airports, utility companies, manufacturers, hospitality businesses, technology firms, financial services, and retail outlets. For those in leadership roles focused on security and risk management seeking innovative methods to handle incidents and mitigate risks, Resolver offers a pathway to transition from merely addressing incidents to gaining valuable insights. With its comprehensive solutions, Resolver empowers organizations to enhance their overall risk management strategies effectively.
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SeyftAI
SeyftAI stands out as a sophisticated platform that offers real-time, multi-modal content moderation, effectively filtering out harmful and irrelevant content across a variety of formats, such as text, images, and videos, ensuring adherence to compliance standards while catering to diverse languages and cultural contexts. Equipped with an extensive suite of tools, SeyftAI plays a crucial role in fostering clean and secure digital spaces, effortlessly identifying and removing harmful text in multiple languages. Its API allows for seamless integration of content moderation capabilities into existing applications and workflows, providing an efficient solution for businesses. Furthermore, SeyftAI can independently recognize and eliminate inappropriate or explicit images without requiring human intervention. Users are empowered to tailor their content moderation processes to fit their specific needs, thereby enhancing the relevance and impact of their efforts. Additionally, the platform offers comprehensive reports and analytics related to content moderation activities, which boosts transparency and overall effectiveness. As a result, businesses leveraging SeyftAI can ensure their digital content remains safe and compliant while skillfully navigating the continually changing landscape of online interactions. Ultimately, this advanced platform not only supports immediate content needs but also fosters a long-term commitment to safe digital engagement.
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Amazon Rekognition
Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures.
Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.
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