Amazon Bedrock
Amazon Bedrock is a comprehensive service that streamlines the development and expansion of generative AI applications by offering access to a diverse range of high-performance foundation models (FMs) from top AI organizations, including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Utilizing a unified API, developers have the opportunity to explore these models, personalize them through methods such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that can engage with various enterprise systems and data sources. As a serverless solution, Amazon Bedrock removes the complexities associated with infrastructure management, enabling the effortless incorporation of generative AI functionalities into applications while prioritizing security, privacy, and ethical AI practices. This service empowers developers to innovate rapidly, ultimately enhancing the capabilities of their applications and fostering a more dynamic tech ecosystem.
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Proton Mail
Proton Mail was founded in Switzerland, and all of our servers are located there. All user data is protected under strict Swiss privacy laws. All emails are encrypted automatically using end-to-end encryption. This means that even we cannot read or decrypt your emails. Your encrypted emails cannot therefore be shared with any third parties. To create your secure email account, you don't need to provide any personal information. We do not store IP logs that can be linked to your anonymous account. Your privacy is paramount. Email privacy should be accessible to everyone, according to us. Our code is open-source and basic Proton Mail accounts come free. Support the project by donating to it or upgrading to a paid account. Proton Mail is compatible with all devices without the need for software installation. Proton Mail Business allows you to keep your business email address. You can send and receive encrypted email both within and outside your organization.
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Mandatly
Delivers comprehensive solutions for GDPR, CCPA, LGPD, and other privacy regulations, facilitating effective management of privacy-related tasks while ensuring compliance with legal standards. Streamlines your privacy management initiatives, minimizing the need for manual involvement to achieve compliance. Incorporates smart analytics to evaluate and identify risks, along with recommendations for effective mitigation strategies. The advanced dashboard and reporting features enhance visibility, supporting informed decision-making processes. With ready-to-use PIA/DPIA question templates, automated workflows, and notification setups, you can conduct regular assessments while effectively collaborating with business units and IT. Surveys driven by workflows are designed to pinpoint systems and sources of personal data, aiding in the generation of "Record of Processing Activities (RoPA)." It also includes predefined steps to maintain an efficient data inventory. Furthermore, the approach automates the fulfillment of Data Subject Access Requests (DSAR), supported by integrated workflows and robust data discovery capabilities, making privacy management smoother and more effective than ever. This comprehensive solution not only simplifies regulatory compliance but also empowers organizations to proactively manage their privacy obligations.
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OneTrust Privacy Automation
Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.
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