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What is Tigera?

Security and observability specifically designed for Kubernetes ecosystems are crucial for the success of contemporary cloud-native applications. Adopting security and observability as code is vital for protecting various elements, such as hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring the safeguarding of both north-south and east-west traffic while upholding enterprise security protocols and maintaining ongoing compliance. Additionally, Kubernetes-native observability as code enables the collection of real-time telemetry enriched with contextual information from Kubernetes, providing a comprehensive overview of interactions among all components, from hosts to services. This capability allows for rapid troubleshooting through the use of machine learning techniques to identify anomalies and performance challenges effectively. By leveraging a unified framework, organizations can seamlessly secure, monitor, and resolve issues across multi-cluster, multi-cloud, and hybrid-cloud environments that utilize both Linux and Windows containers. The capacity to swiftly update and implement security policies in just seconds empowers businesses to enforce compliance and tackle emerging vulnerabilities without delay. Ultimately, this efficient approach is essential for sustaining the integrity, security, and performance of cloud-native infrastructures, allowing organizations to thrive in increasingly complex environments.

What is Caveonix?

Traditional enterprise security and compliance frameworks frequently struggle with scalability in the face of the complexities associated with hybrid and multi-cloud environments. Many of the "cloud-native" solutions that have emerged fail to account for the existing data center infrastructure, creating a significant hurdle for teams striving to secure their organization's hybrid computing environments. Nonetheless, teams can effectively protect all aspects of their cloud ecosystems, encompassing infrastructure, services, applications, and workloads. Caveonix RiskForesight, crafted by experienced experts in digital risk and compliance, has emerged as a trusted platform for proactive workload security among our customers and partners. This innovative solution enables organizations to identify, anticipate, and address threats within their technological landscapes and hybrid cloud platforms. Additionally, it facilitates the automation of digital risk and compliance processes, delivering robust security for hybrid and multi-cloud infrastructures. By adopting cloud security posture management and cloud workload protection in accordance with Gartner's recommendations, organizations can significantly bolster their overall security posture. This holistic approach not only safeguards sensitive data but also equips teams with the tools necessary to adapt and thrive in the ever-changing realm of cloud computing. Ultimately, the integration of these strategies fosters a resilient security framework that is essential in today's digital landscape.

Media

Media

Integrations Supported

Kubernetes
Calico Cloud
Calico Enterprise
FortiADC

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
Google Cloud Platform
IBM Cloud
Microsoft Azure
OpenShift Cloud Functions
VMware Cloud

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Tigera

Company Location

United States

Company Website

www.tigera.io

Company Facts

Organization Name

Caveonix

Date Founded

2017

Company Location

United States

Company Website

www.caveonix.com/product/saas

Categories and Features

Cloud Security

Application Security

Container Security

Not specified

Observability

Not specified

Telemetry

Not specified

Categories and Features

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