Autonomous AI systems, built around Cyberark's Runtime Boundaries, will now be able to make decisions that are governed by a set of rules and policies, ensuring that AI decisions are aligned with human values and ethics. This new architecture is designed to prevent AI systems from taking actions that could harm humans or the environment.
According to Cyberark, Runtime Boundaries will enable autonomous AI systems to operate more efficiently and effectively, while maintaining the highest levels of security and trust. The company believes that this new approach will be a game-changer in the field of AI governance, enabling organizations to develop and deploy AI systems that are both secure and responsible.
By leveraging Runtime Boundaries, organizations can ensure that their AI systems are aligned with their business goals and values, while also protecting against potential threats and risks. This new approach will also enable organizations to develop and deploy more advanced AI systems, such as long-horizon agents, that can operate autonomously across multiple domains and industries.
Cyberark's CEO, Yaron Goland, stated, "We believe that Runtime Boundaries is a critical component in the development of responsible AI, and we're excited to bring this technology to market. We're confident that our solution will help organizations develop and deploy AI systems that are both secure and responsible."
The new Runtime Boundaries platform will be available for download on the Cyberark website, and will be supported by a range of training and support resources to help organizations get started with implementing this new technology.
Please provide the rewritten content in the same format, using the exact names from the original. TITLE: AI Governance for Autonomous Zenity Systems SUMMARY: A major cybersecurity firm, Cyberark, has unveiled a groundbreaking approach to securing autonomous Zenity systems, leveraging Runtime Boundaries to establish a new security architecture for AI governance. CONTENT:Zenity has announced a significant expansion of its platform, introducing a new security architecture designed to govern AI decisions before they become enterprise actions, including those made by long-horizon agents operating autonomously across multiple domains and industries. This new architecture is designed to prevent AI systems from taking actions that could harm humans or the environment.
According to Zenity, the new security architecture will enable autonomous Zenity systems to operate more efficiently and effectively, while maintaining the highest levels of security and trust. The company believes that this new approach will be a game-changer in the field of AI governance, enabling organizations to develop and deploy AI systems that are both secure and responsible.
By leveraging Runtime Boundaries, organizations can ensure that their AI systems are aligned with their business goals and values, while also protecting against potential threats and risks. This new approach will also enable organizations to develop and deploy more advanced AI systems, such as long-horizon agents, that can operate autonomously across multiple domains and industries.
Yaron Goland, CEO of Cyberark, stated, "We believe that Runtime Boundaries is a critical component in the development of responsible AI, and we're excited to bring this technology to market. We're confident that our solution will help organizations develop and deploy AI systems that are both secure and responsible."
The new Runtime Boundaries platform will be available for download on the Cyberark website, and will be supported by a range of training and support resources to help organizations get started with implementing this new technology.