Venafi Brings New AI Innovation to Control Plane for Machine Identities

Venafi Athena runs across the entire Venafi Control Plane and its integrated ecosystem, featuring three core generative AI and machine learning capabilities:

• Venafi Athena for Security Teams – The volume of new machine identities and identity types have exploded with today’s increasingly cloud native, multi-cloud world. According to Venafi research, the number of machine identities within an organization is growing at an estimated rate of 26% each year, reaching at least 500,000 by 2024. Security teams and machine identity professionals need a fast, easy and integrated way to reduce the growing complexity and effectively manage all of an organization’s machine identities. Venafi’s new AI- and machine learning-powered technology helps them make more intelligent, informed machine identity management decisions by identifying trends and providing suggestions through an easy-to-use chat interface across the Venafi Control Plane. As a result, they can more easily and intuitively get started, identify improvements, and perform complex tasks. This capability is now available in the Venafi Control Plane with the September 2023 update.

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• Venafi Athena for Developers – Modern machine identity management requires the most integrated infrastructure-as-code and cloud native capabilities. Venafi Athena leverages generative AI to make it easy for platform and developer teams to automate machine identity operations by generating and suggesting complete code recipes. The AI engine is trained across Venafi’s integrated ecosystem, multiple development languages including Go, Python and PowerShell, as well as industry-standard orchestration solutions including the Red Hat certified Ansible Collection for Venafi and official HashiCorp Terraform Provider for Venafi. This will be available on Dev Central, Venafi’s new developer experience for the Venafi Control Plane, in 2024.
• Venafi Athena for the Community – As the open source leader for machine identity management, Venafi now offers an experimental laboratory that gives developers early access to innovative generative AI capabilities and machine identity data for use in new feature development, machine learning, large language model development and more. It includes a new project that redefines reporting and answers for machine identity management using generative AI and Venafi’s software-as-service data capabilities. This is available today with code examples and data with pre-identified features for machine learning on Hugging Face.

“Machine identity management is complex and challenging, particularly as we move towards a cloud native future. Modern enterprises require a fast, easy and integrated way to tackle these complex machine identity management problems,” said Shivajee Samdarshi, chief product officer at Venafi. “The power of generative AI and machine learning makes this possible today. The first of its kind, Venafi Athena harnesses Venafi’s modern software-as-a-service architecture and the latest generative AI technology together to deliver powerful new intelligence that enables security and platform teams to be successful in their machine identity management programs.”

SOURCE: BusinessWire