Blog Post

‍Building for the Future of AI Governance 

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem.

January 5 2024

Building for the Future of AI Governance 

Regulators across the U.S. have been prolific in introducing legislation to address artificial intelligence (AI) in 2023, with state lawmakers introducing 440 percent more AI-related bills in 2023 compared to the prior calendar year. According to a leading industry association, lawmakers across the 50 U.S. states and the District of Columbia introduced nearly 200 bills to address AI regulation in the first 10 months of 2023, or nearly four bills per state.

In addition, the governments of the European Union and the United States are proposing regulations to manage risks related to the development and use of AI systems. The White House’s publication of the October 30, 2023, Executive Order (EO) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and the April 2021 draft European Regulation on Artificial Intelligence (the “AI Act”) are two important developments that will shape the future of AI governance and regulation. AI regulations share several common themes: a focus on foundation models of high-risk AI systems; testing and monitoring; transparency requirements; and cybersecurity standards.

AI in Data Privacy Management

AI can play an important role in data privacy management when used responsibly and effectively, enabling organizations to build resilient, comprehensive privacy programs, streamlining privacy-related tasks previously handled through manual methods, and reducing the potential for errors. With AI, organizations can automatically discover and classify all data (including sensitive data), detect anomalies, control data access, and enhance overall data security. The use of AI streamlines compliance, safeguards against data incidents and breaches, and ensures responsible data practices, building trust and transparency among consumers and regulators.

Relyance AI built one of the first AI-powered data privacy management platforms, which is currently in use by many well-known companies known for their commitment to strong privacy practices operating across a broad spectrum of industries. These customers were attracted not only by the industry-leading functionality of the Relyance AI platform, but also by the company’s commitment to the ethical and responsible use of AI incorporated in its Privacy by Design approach.

A Platform Built to Align with AI Governance

Relyance AI was founded to harness the power of AI for good by increasing visibility and understanding of data flows. The company’s approach to the use of AI is different from other providers, because  its comprehensive and customizable data privacy management platform aligns with the future direction of AI governance.

  • Customers retain control. The use of AI-powered automation takes many of the time-consuming tasks off the customer’s mind, but keeps the decision-making in the customer’s hands. AI drives the administrative privacy-related tasks to streamline functionality and reduce errors, but it also produces greater transparency. With Relyance AI, customers know the source of the platform’s AI predictions and have the ability to overwrite them at any time, retaining complete control over the platform data.

 

  • Data minimization is a core principle. We have architected the technology stack to access only the least amount of information necessary to complete a privacy-related task. The use of AI ensures data is not repurposed for other uses without consent, adhering to strict purpose limitation practices. Relyance AI has taken the “privacy at the source code” approach specifically to ensure the most comprehensive data discovery, classification, tracking and reporting, while strengthening internal privacy practices.

 

  • AI plays a lead role in the platform but a supporting role to the customer. Relyance AI customers use our generative AI and Large Language Models (LLMs) to make decisions about how they run their privacy programs. Relyance AI provides the platform and knowledge to make those informed decisions. We build automation through a human lens, with customers retaining the option to review and check at key points in the data privacy management process. Customers always have final decision-making power.

 

  • The use of AI is deliberate but not all-inclusive. The Relyance AI data protection assessment (DPA) feature automates as much as 80% of data, based on information extracted from contracts, codes and other integrations. Even though we could automate as much as 100% of the process, we have explicitly chosen not to completely automate the process because some questions in a DPA are better evaluated and answered based on human judgment. Similarly, the Relyance AI data subject request (DSR) feature packages the data for access/deletion, but there are pauses built in for customer checks and approvals. These decisions directly reflect our responsible and ethical approach to the use of AI, and ensure compliance with the regulatory requirement for the privacy professional to make an evaluation based on risks, benefits, and controls to minimize risks.

  • Operational controls enforce ethical and responsible use of AI. Relyance AI maintains internal policies governing the ethical use of AI with strict enforcement mechanisms up to and including termination, as well as secure code review.

Prioritizing Privacy and Accountability

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem. To learn more about how Relyance harnesses the power of AI to drive a responsible privacy program, please book a demo here.


What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Blog Post

‍Building for the Future of AI Governance 

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem.

January 5 2024

Building for the Future of AI Governance 

Regulators across the U.S. have been prolific in introducing legislation to address artificial intelligence (AI) in 2023, with state lawmakers introducing 440 percent more AI-related bills in 2023 compared to the prior calendar year. According to a leading industry association, lawmakers across the 50 U.S. states and the District of Columbia introduced nearly 200 bills to address AI regulation in the first 10 months of 2023, or nearly four bills per state.

In addition, the governments of the European Union and the United States are proposing regulations to manage risks related to the development and use of AI systems. The White House’s publication of the October 30, 2023, Executive Order (EO) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and the April 2021 draft European Regulation on Artificial Intelligence (the “AI Act”) are two important developments that will shape the future of AI governance and regulation. AI regulations share several common themes: a focus on foundation models of high-risk AI systems; testing and monitoring; transparency requirements; and cybersecurity standards.

AI in Data Privacy Management

AI can play an important role in data privacy management when used responsibly and effectively, enabling organizations to build resilient, comprehensive privacy programs, streamlining privacy-related tasks previously handled through manual methods, and reducing the potential for errors. With AI, organizations can automatically discover and classify all data (including sensitive data), detect anomalies, control data access, and enhance overall data security. The use of AI streamlines compliance, safeguards against data incidents and breaches, and ensures responsible data practices, building trust and transparency among consumers and regulators.

Relyance AI built one of the first AI-powered data privacy management platforms, which is currently in use by many well-known companies known for their commitment to strong privacy practices operating across a broad spectrum of industries. These customers were attracted not only by the industry-leading functionality of the Relyance AI platform, but also by the company’s commitment to the ethical and responsible use of AI incorporated in its Privacy by Design approach.

A Platform Built to Align with AI Governance

Relyance AI was founded to harness the power of AI for good by increasing visibility and understanding of data flows. The company’s approach to the use of AI is different from other providers, because  its comprehensive and customizable data privacy management platform aligns with the future direction of AI governance.

  • Customers retain control. The use of AI-powered automation takes many of the time-consuming tasks off the customer’s mind, but keeps the decision-making in the customer’s hands. AI drives the administrative privacy-related tasks to streamline functionality and reduce errors, but it also produces greater transparency. With Relyance AI, customers know the source of the platform’s AI predictions and have the ability to overwrite them at any time, retaining complete control over the platform data.

 

  • Data minimization is a core principle. We have architected the technology stack to access only the least amount of information necessary to complete a privacy-related task. The use of AI ensures data is not repurposed for other uses without consent, adhering to strict purpose limitation practices. Relyance AI has taken the “privacy at the source code” approach specifically to ensure the most comprehensive data discovery, classification, tracking and reporting, while strengthening internal privacy practices.

 

  • AI plays a lead role in the platform but a supporting role to the customer. Relyance AI customers use our generative AI and Large Language Models (LLMs) to make decisions about how they run their privacy programs. Relyance AI provides the platform and knowledge to make those informed decisions. We build automation through a human lens, with customers retaining the option to review and check at key points in the data privacy management process. Customers always have final decision-making power.

 

  • The use of AI is deliberate but not all-inclusive. The Relyance AI data protection assessment (DPA) feature automates as much as 80% of data, based on information extracted from contracts, codes and other integrations. Even though we could automate as much as 100% of the process, we have explicitly chosen not to completely automate the process because some questions in a DPA are better evaluated and answered based on human judgment. Similarly, the Relyance AI data subject request (DSR) feature packages the data for access/deletion, but there are pauses built in for customer checks and approvals. These decisions directly reflect our responsible and ethical approach to the use of AI, and ensure compliance with the regulatory requirement for the privacy professional to make an evaluation based on risks, benefits, and controls to minimize risks.

  • Operational controls enforce ethical and responsible use of AI. Relyance AI maintains internal policies governing the ethical use of AI with strict enforcement mechanisms up to and including termination, as well as secure code review.

Prioritizing Privacy and Accountability

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem. To learn more about how Relyance harnesses the power of AI to drive a responsible privacy program, please book a demo here.


What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

‍Building for the Future of AI Governance 

Building for the Future of AI Governance 

Regulators across the U.S. have been prolific in introducing legislation to address artificial intelligence (AI) in 2023, with state lawmakers introducing 440 percent more AI-related bills in 2023 compared to the prior calendar year. According to a leading industry association, lawmakers across the 50 U.S. states and the District of Columbia introduced nearly 200 bills to address AI regulation in the first 10 months of 2023, or nearly four bills per state.

In addition, the governments of the European Union and the United States are proposing regulations to manage risks related to the development and use of AI systems. The White House’s publication of the October 30, 2023, Executive Order (EO) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and the April 2021 draft European Regulation on Artificial Intelligence (the “AI Act”) are two important developments that will shape the future of AI governance and regulation. AI regulations share several common themes: a focus on foundation models of high-risk AI systems; testing and monitoring; transparency requirements; and cybersecurity standards.

AI in Data Privacy Management

AI can play an important role in data privacy management when used responsibly and effectively, enabling organizations to build resilient, comprehensive privacy programs, streamlining privacy-related tasks previously handled through manual methods, and reducing the potential for errors. With AI, organizations can automatically discover and classify all data (including sensitive data), detect anomalies, control data access, and enhance overall data security. The use of AI streamlines compliance, safeguards against data incidents and breaches, and ensures responsible data practices, building trust and transparency among consumers and regulators.

Relyance AI built one of the first AI-powered data privacy management platforms, which is currently in use by many well-known companies known for their commitment to strong privacy practices operating across a broad spectrum of industries. These customers were attracted not only by the industry-leading functionality of the Relyance AI platform, but also by the company’s commitment to the ethical and responsible use of AI incorporated in its Privacy by Design approach.

A Platform Built to Align with AI Governance

Relyance AI was founded to harness the power of AI for good by increasing visibility and understanding of data flows. The company’s approach to the use of AI is different from other providers, because  its comprehensive and customizable data privacy management platform aligns with the future direction of AI governance.

  • Customers retain control. The use of AI-powered automation takes many of the time-consuming tasks off the customer’s mind, but keeps the decision-making in the customer’s hands. AI drives the administrative privacy-related tasks to streamline functionality and reduce errors, but it also produces greater transparency. With Relyance AI, customers know the source of the platform’s AI predictions and have the ability to overwrite them at any time, retaining complete control over the platform data.

 

  • Data minimization is a core principle. We have architected the technology stack to access only the least amount of information necessary to complete a privacy-related task. The use of AI ensures data is not repurposed for other uses without consent, adhering to strict purpose limitation practices. Relyance AI has taken the “privacy at the source code” approach specifically to ensure the most comprehensive data discovery, classification, tracking and reporting, while strengthening internal privacy practices.

 

  • AI plays a lead role in the platform but a supporting role to the customer. Relyance AI customers use our generative AI and Large Language Models (LLMs) to make decisions about how they run their privacy programs. Relyance AI provides the platform and knowledge to make those informed decisions. We build automation through a human lens, with customers retaining the option to review and check at key points in the data privacy management process. Customers always have final decision-making power.

 

  • The use of AI is deliberate but not all-inclusive. The Relyance AI data protection assessment (DPA) feature automates as much as 80% of data, based on information extracted from contracts, codes and other integrations. Even though we could automate as much as 100% of the process, we have explicitly chosen not to completely automate the process because some questions in a DPA are better evaluated and answered based on human judgment. Similarly, the Relyance AI data subject request (DSR) feature packages the data for access/deletion, but there are pauses built in for customer checks and approvals. These decisions directly reflect our responsible and ethical approach to the use of AI, and ensure compliance with the regulatory requirement for the privacy professional to make an evaluation based on risks, benefits, and controls to minimize risks.

  • Operational controls enforce ethical and responsible use of AI. Relyance AI maintains internal policies governing the ethical use of AI with strict enforcement mechanisms up to and including termination, as well as secure code review.

Prioritizing Privacy and Accountability

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem. To learn more about how Relyance harnesses the power of AI to drive a responsible privacy program, please book a demo here.


Blog Post

‍Building for the Future of AI Governance 

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem.

Aug 17, 2022

Get the whitepaper

Required field*

‍Building for the Future of AI Governance 

Building for the Future of AI Governance 

Regulators across the U.S. have been prolific in introducing legislation to address artificial intelligence (AI) in 2023, with state lawmakers introducing 440 percent more AI-related bills in 2023 compared to the prior calendar year. According to a leading industry association, lawmakers across the 50 U.S. states and the District of Columbia introduced nearly 200 bills to address AI regulation in the first 10 months of 2023, or nearly four bills per state.

In addition, the governments of the European Union and the United States are proposing regulations to manage risks related to the development and use of AI systems. The White House’s publication of the October 30, 2023, Executive Order (EO) on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence and the April 2021 draft European Regulation on Artificial Intelligence (the “AI Act”) are two important developments that will shape the future of AI governance and regulation. AI regulations share several common themes: a focus on foundation models of high-risk AI systems; testing and monitoring; transparency requirements; and cybersecurity standards.

AI in Data Privacy Management

AI can play an important role in data privacy management when used responsibly and effectively, enabling organizations to build resilient, comprehensive privacy programs, streamlining privacy-related tasks previously handled through manual methods, and reducing the potential for errors. With AI, organizations can automatically discover and classify all data (including sensitive data), detect anomalies, control data access, and enhance overall data security. The use of AI streamlines compliance, safeguards against data incidents and breaches, and ensures responsible data practices, building trust and transparency among consumers and regulators.

Relyance AI built one of the first AI-powered data privacy management platforms, which is currently in use by many well-known companies known for their commitment to strong privacy practices operating across a broad spectrum of industries. These customers were attracted not only by the industry-leading functionality of the Relyance AI platform, but also by the company’s commitment to the ethical and responsible use of AI incorporated in its Privacy by Design approach.

A Platform Built to Align with AI Governance

Relyance AI was founded to harness the power of AI for good by increasing visibility and understanding of data flows. The company’s approach to the use of AI is different from other providers, because  its comprehensive and customizable data privacy management platform aligns with the future direction of AI governance.

  • Customers retain control. The use of AI-powered automation takes many of the time-consuming tasks off the customer’s mind, but keeps the decision-making in the customer’s hands. AI drives the administrative privacy-related tasks to streamline functionality and reduce errors, but it also produces greater transparency. With Relyance AI, customers know the source of the platform’s AI predictions and have the ability to overwrite them at any time, retaining complete control over the platform data.

 

  • Data minimization is a core principle. We have architected the technology stack to access only the least amount of information necessary to complete a privacy-related task. The use of AI ensures data is not repurposed for other uses without consent, adhering to strict purpose limitation practices. Relyance AI has taken the “privacy at the source code” approach specifically to ensure the most comprehensive data discovery, classification, tracking and reporting, while strengthening internal privacy practices.

 

  • AI plays a lead role in the platform but a supporting role to the customer. Relyance AI customers use our generative AI and Large Language Models (LLMs) to make decisions about how they run their privacy programs. Relyance AI provides the platform and knowledge to make those informed decisions. We build automation through a human lens, with customers retaining the option to review and check at key points in the data privacy management process. Customers always have final decision-making power.

 

  • The use of AI is deliberate but not all-inclusive. The Relyance AI data protection assessment (DPA) feature automates as much as 80% of data, based on information extracted from contracts, codes and other integrations. Even though we could automate as much as 100% of the process, we have explicitly chosen not to completely automate the process because some questions in a DPA are better evaluated and answered based on human judgment. Similarly, the Relyance AI data subject request (DSR) feature packages the data for access/deletion, but there are pauses built in for customer checks and approvals. These decisions directly reflect our responsible and ethical approach to the use of AI, and ensure compliance with the regulatory requirement for the privacy professional to make an evaluation based on risks, benefits, and controls to minimize risks.

  • Operational controls enforce ethical and responsible use of AI. Relyance AI maintains internal policies governing the ethical use of AI with strict enforcement mechanisms up to and including termination, as well as secure code review.

Prioritizing Privacy and Accountability

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem. To learn more about how Relyance harnesses the power of AI to drive a responsible privacy program, please book a demo here.


Blog Post

‍Building for the Future of AI Governance 

As the landscape of privacy, technology, and regulatory action continues to evolve and progress, organizations that prioritize ethical considerations, transparency, and accountability will gain a competitive advantage through trust among customers and regulators. With the Relyance AI data privacy management platform, organizations can foster a culture of responsible AI use, protecting the sensitive information of individuals while contributing to a trustworthy and sustainable digital ecosystem.

Aug 17, 2022

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