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|Company size (employees)||100 to 499|
|Headquarters Region||North America|
The acceleration of digital transformation and the shift to the cloud has led to an explosion of machine-to-machine communication. In fact, the number of machine identities that an organization must secure and manage will more than double by 2024, according to a recent Venafi study. This massive proliferation in machine identities introduces increased complexity and security risks as organizations realize they can no longer effectively manage this volume of machine identities manually across multiple platforms and environments. As a result, threat actors are exploiting poor machine identity management to inflict devastating attacks. Today, the need to secure machine identities with the same urgency as human identities has never been more vital.
As the inventor of the machine identity management category, Venafi is leading the charge to address this growing challenge. The company launched the new Venafi Control Plane for Machine Identities in 2022 to enable organizations to easily and securely manage machine identities of all kinds across any machine, any team and any environment, from traditional on-prem environments to modern, cloud native environments such as Kubernetes. The platform provides global visibility across all of an organization’s machine identities and the risks associated with them – and puts this intelligence into action with automated remediation, reducing the security and availability risks connected with weak or compromised machine identities, while safeguarding the flow of information to trusted machines and preventing communication with untrusted machines. Organizations, as a result, can accelerate modernization, maximize uptime, eliminate security incidents and reduce revenue stream disruptions.
Venafi’s solutions protect the largest and most sensitive networks across the globe. Valued at $1.15 billion, Venafi is used by more than 3,500 organizations worldwide today, including the top five U.S. health insurers, top five U.S. airlines and top four U.S. banks.
- TLS Protect for Kubernetes is the only solution that enables security and platform teams to easily and securely manage cloud native machine identities, such as TLS, mTLS and SPIFFE certificates, across all of an enterprise’s multi-cloud and multi-cluster Kubernetes environments.
- By delivering increased observability, consistency and control over machine identity management within more complex cloud native infrastructures, TLS Protect for Kubernetes helps enterprises improve application reliability and reduce development and operational costs.
- As the creator of the machine identity management category, Venafi is at the forefront of innovation for securing machine-to-machine communication across any machine, any team and any environment. Venafi’s solutions protect some of the largest organizations (over 3,500 companies) across the globe, including the top five U.S. health insurers, top five U.S. airlines and top four U.S. banks.
- As the creator of the machine identity management category, Venafi is at the forefront of innovation for securing machine-to-machine communication across any machine, any team and any environment. Venafi’s solutions help some of the largest organizations in the world to manage their machine identities and ensure they cannot be exploited to inflict devastating attacks.
- Venafi’s acquisition of Jetstack in 2020 further moved the company towards innovative solutions to help support the development of cloud native security solutions within the complex environments of Kubernetes. Cert-manager, Jetstack’s open source machine identity management solution, has 1.5 million downloads per day and is the de facto solution for machine identity management in Kubernetes environments.
- Venafi champions innovation in the wider community with a $12.5 million Machine Identity Management Fund, which empowers startup developers and their organizations to create open source identity security tools that further the convergence of security and DevOps. It also created the University Development Fund, which provides direct sponsorship to universities and their students researching the critical controls and capabilities to advance machine identity management.