- Venafi Athena for Security Teams employs AI and machine learning to assist security teams in making more astute and informed decisions regarding machine identity management.
- The AI engine undergoes training using Venafi’s integrated ecosystem, encompassing various development languages such as Go, Python, and PowerShell, as well as orchestration solutions like the Red Hat-certified Ansible Collection for Venafi and the official HashiCorp Terraform Provider for Venafi.
Recently, Venafi Inc., specializing in safeguarding machine identities, introduced a novel generative artificial intelligence service. It aims to streamline and expedite machine identity management for security and platform teams.
Known as Venafi Athena, this service leverages machine learning, extensive language models, and Venafi’s robust data capabilities to drive three fundamental solutions.
The initial solution, Venafi Athena for Security Teams, aims to tackle the challenge of the substantial increase in new machine identities and identity types due to the shift towards a cloud-native, multicloud environment. Venafi emphasizes that security teams and machine identity professionals require a swift, user-friendly, and integrated approach to mitigate escalating complexity and efficiently oversee an organization’s machine identities.
Venafi Athena for Security Teams employs AI and machine learning to assist security teams in making more astute and informed decisions regarding machine identity management. This is achieved through the identification and analysis of relevant trends. The service delivers suggestions via a user-friendly chat interface accessible across the Venafi Control Plane. It identifies potential improvements and performs complex tasks to enhance machine identity management.
The second solution, Venafi Athena for Developers, caters to the contemporary demand for highly integrated infrastructure-as-code and cloud-native capabilities in machine identity management. This service utilizes generative AI to enable developer teams to streamline and automate machine identity operations. It achieves this by generating and suggesting comprehensive code recipes.
The AI engine undergoes training using Venafi’s integrated ecosystem, encompassing various development languages such as Go, Python, and PowerShell, as well as orchestration solutions like the Red Hat-certified Ansible Collection for Venafi and the official HashiCorp Terraform Provider for Venafi.
Lastly, there’s Venafi Athena for the Community. The community version includes an experimental laboratory, allowing developers early access to generative AI capabilities and machine identity data. This access is meant for utilization in developing new features, machine learning, and advancing large language models. This version incorporates a novel project capability that revolutionizes reporting and answers within machine identity management. This transformation is driven by the integration of generative AI and Venafi’s software-as-a-service data capabilities.
Before the announcement, Chief Product Officer Shivajee Samdarshi said, “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.”
Venafi Athena for Security Teams is now accessible via the Venafi Control Plane as part of the September 2023 update. Venafi Athena for Developers is scheduled to be available in 2024, whereas Venafi Athena for the Community is now accessible.