Venafi Athena enables the use of generative AI and machine learning to deliver the industry's first intelligent machine identity management capabilities. This makes machine identity management easier and faster for IT security teams.
Venafi, pioneer of machine identity management, presents Venafi Athena at the 5th edition of the Machine Identity Summit. As an AI technology for the Venafi Control Plane, Venafi Athena combines the strengths of machine learning, large language models and Venafi's industry-leading data capabilities. This makes machine identity management easier and faster for IT security and platform teams. Venafi Athena runs across the entire Venafi Control Plane. The integrated network offers three core functions for generative AI and machine learning:
Venafi Athena for security teams
The emergence of new machine identities and identity types has skyrocketed in today's increasingly cloud-native and multi-cloud world. Security teams and machine identity experts need a quick, easy, and integrated way to reduce increasing complexity and effectively manage all of an organization's machine identities. Venafi's new AI and machine learning-based technology helps make smarter and more informed decisions in machine identity management. For this purpose, trends are identified and suggestions are provided via an easy-to-use chat interface in the Venafi Control Plane. This allows companies to work more easily and intuitively. You can identify opportunities for improvement and carry out complex tasks. This ability is now available in the Venafi Control Plane with the September 2023 Update.
Venafi Athena for developers
Venafi Athena for Developers – Modern machine identity management requires the most integrated infrastructure as code and native cloud functions. Using generative AI, Venafi Athena makes it easy for platform and developer teams to automate machine identity operations by generating and suggesting complete sets of code. The AI is further developed via Venafi's integrated network. This includes multiple development languages such as Go, Python and PowerShell, as well as industry-standard platform solutions. These include the Red Hat-certified Ansible Collection for Venafi and the official HashiCorp Terraform Provider for Venafi. These solutions will be available in 2024 on Dev Central, Venafi's new developer environment for the Venafi Control Plane.
Venafi Athena for the community
As the open source leader in machine identity management, Venafi now offers a testing lab that gives developers early access to innovative generative AI capabilities and machine identity data. These can be used for the development of new functions, machine learning and the development of large language models. This includes a new project that redefines reporting and responses for machine identity management using generative AI and Venafi's software-as-service data capabilities. The program is available today with code samples and data with predefined machine learning features on GitHub and Hugging Face.
Managing machine identities becomes much easier
“Managing machine identities is complex and challenging, especially as we look to a cloud-native future. Modern enterprises need a fast, simple and integrated way to tackle the complex problems of machine identity management,” said Shivajee Samdarshi, Chief Product Officer at Venafi. “The power of generative AI and machine learning makes this possible today. The first solution of its kind, Venafi Athena leverages Venafi's modern Software-as-a-Service architecture and the latest generative AI technology to deliver powerful new intelligence. This enables security and platform teams to implement their machine identity management programs more efficiently.”
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About Venafi Venafi is the leader in cybersecurity for machine identity management. From the foundation to the cloud, Venafi solutions manage and protect identities for all types of machines - from physical and IoT devices to software applications, APIs and containers. Venafi provides global visibility, lifecycle automation, and actionable intelligence for all types of machine identities and their associated security and reliability risks.