Resolver
Over 1,000 organizations worldwide depend on Resolver’s security, risk and compliance software. From healthcare and hospitals to academic institutions, and critical infrastructure organizations including airports, utilities, manufacturers, hospitality, technology, financial services and retail. For security and risk leaders who are looking for a new way to manage incidents and risks, Resolver will help you move from incidents to insights.
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Thinfinity Workspace
Thinfinity Workspace 7.0's Technical Highlights:
- Progressive Web App (PWA) technology for a seamless user experience
- Integrated Thinfinity VNC, VirtualUI, and z/Scope for maximum versatility
- HTML5 terminal emulation supporting DEC terminals, TN 5220, and TN 3270 protocols
- Robust enterprise-grade audit logs for security and compliance management
- Proprietary VNC protocol for real-time monitoring and troubleshooting
IMPROVE USER EXPERIENCE
- Deliver business-critical apps, desktops and files from a single web portal.
- Provide simplified remote browser access for your users, while confining them to only the resources that they need.
SIMPLIFY IT AND AVOID VPNs
- Forget traditional VPN deployments and complexities.
- Enable access from Chromebooks, mobile devices or any computer with a Web Browser. Zero setup.
KEEP YOUR BUSINESS SECURE
- Use enterprise-grade encrypted connections.
- Integrate with your existing and external identity platforms.
- Apply 2FA or MFA policies with all identity providers.
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SeyftAI
SeyftAI is an advanced platform for real-time, multi-modal content moderation that effectively screens harmful and irrelevant materials across various formats, including text, images, and videos, to guarantee compliance while providing customized solutions for different languages and cultural nuances. With a wide-ranging set of tools, SeyftAI assists in maintaining clean and safe digital environments. It can identify and eliminate harmful textual content in numerous languages effortlessly. The API provided by SeyftAI facilitates the smooth integration of its content moderation features into your existing applications and workflows. Additionally, it can autonomously detect and filter out inappropriate or explicit images without the need for human oversight. SeyftAI enables users to customize content moderation workflows according to their unique requirements. Furthermore, users can obtain detailed reports and analytics on their content moderation efforts, enhancing transparency and effectiveness. By utilizing this platform, businesses can ensure that their digital content remains safe and compliant, adapting to the ever-evolving landscape of online interactions.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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