Venafi

Unify and orchestrate machine identities across multiple platforms and environments, preventing outages and misuse with automated management and policy enforcement.
Machine Identity Management Certificate Management Cloud Security Solutions

Venafi offers a machine identity management platform designed to ease the difficulties of machine identity management in modern, cloud-native applications. The platform helps companies deal with the machine identity management challenges that come with the shift from monolithic to microservice-based applications. It also provides a single, unified way to orchestrate machine identities across multiple platforms and environments.

Some of the key features include:

  • TLS Protect: Control TLS machine identities to prevent outages.
  • SSH Protect: Prevent misuse of SSH machine identities.
  • CodeSign Protect: Secure code signing for businesses.
  • TLS Protect for Kubernetes: Monitor and secure machine identities in cloud environments.
  • Firefly: Issue trusted certificates rapidly.

Venafi says its technology helps companies:

  • Reduce Complexity: Gain total observability and security for machine identities.
  • Eliminate Outages: Guarantee zero outages with automated management.
  • Automate Everywhere: Provision certificates up to 98% faster.
  • Prevent Misuse & Compromise: Enforce policies and save up to $1.7 million per year on certificate incidents.
  • Modernize with Speed & Agility: Extend machine identity management from on-premises to the cloud, saving up to 200,000 hours per year.

Venafi counts many high-profile customers, including large health insurers, airlines, payment card issuers and banks. Customer success stories show the platform's scalability, visibility and automation abilities so customers can manage large, constantly changing infrastructure.

Pricing details aren't disclosed, but there's a free trial available. You can start with a visit to the Venafi website to check out the platform and its features.

Published on July 6, 2024

Related Questions

Tool Suggestions

Analyzing Venafi...