BrandMail
BrandMail®, created by BrandQuantum, is an innovative software tool that integrates seamlessly with Microsoft Outlook, enabling all employees within the organization to automatically generate emails that consistently reflect the brand through an easy-to-use toolbar that grants access to brand guidelines and the most current pre-approved materials. With this solution, email signatures are crafted according to your branding requirements, ensuring a uniform appearance regardless of the device or platform used to view them. These signatures are secure and managed from a central location, providing peace of mind regarding their integrity. Notably, users can view their signatures, banners, and surveys when composing, replying to, or forwarding emails. Unlike other solutions, BrandMail does not redirect emails through external servers nor does it modify the rules within your exchange environment, functioning entirely within Microsoft Outlook. By utilizing BrandMail, organizations can turn every email into a branding opportunity while also reducing the security vulnerabilities linked to the manipulation of HTML signatures, thereby enhancing both brand consistency and cybersecurity. This not only streamlines communication but also reinforces the brand identity across all employee interactions.
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CLEAR
The CLEAR™ Cryptosystem is a FIPS-140-3 validated encryption SDK designed to secure files, streaming media, databases, and network communications with cutting-edge, programmable encryption technology. Fully compatible with all modern computing platforms, CLEAR™ provides a simple, turnkey solution for integrating advanced encryption into existing security systems. With Post-Quantum Cryptography (PQC) capabilities, it delivers future-proof protection against emerging cybersecurity threats, ensuring your data is secured with the strongest available encryption methods.
Key Features:
• PQC Encryption Strength ( 512bit - 10,240bit)
• Ultra Low-Latency Streaming (< 11µs / Packet)
• Hyperkey™ Technology with embedded ACL
• Multi-Factor / Bio-Metric Symmetric Keys
• Plug-N-Play Entropy - CSRNG, QRNG, HRNG
Benefits:
• Pass cybersecurity audits with best-in-class tools
• Share data securely via Sharepoint, Dropbox, etc.
• Protect legacy gear and outdated network equipment
• Extend protection to files in 3rd party portals
• Future lasting power - long-term data archival
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QX Simulator
The development of large-scale physical quantum computers is proving to be a formidable task, and in parallel with efforts to create these machines, considerable attention is being directed towards crafting effective quantum algorithms. Without a fully realized large quantum computer, it becomes essential to utilize precise software simulations on classical systems to replicate the execution of these quantum algorithms, allowing researchers to analyze quantum computer behavior and refine their designs. In addition to simulating ideal, error-free quantum circuits on a faultless quantum computer, the QX simulator offers the capability to model realistic noisy executions by incorporating various error models, such as depolarizing noise. Users have the option to activate specific error models and set a physical error probability tailored to mimic a particular target quantum computer. This defined error rate can be based on factors like gate fidelity and qubit decoherence characteristics of the intended platform, ultimately aiding in the realistic assessment of quantum computation capabilities. Thus, these simulations not only inform the design of future quantum computers but also enhance our understanding of the complexities involved in quantum processing.
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TensorFlow
TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.
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