Best Cloud Workload Protection Platforms for ThreatAware

Find and compare the best Cloud Workload Protection platforms for ThreatAware in 2024

Use the comparison tool below to compare the top Cloud Workload Protection platforms for ThreatAware on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SentinelOne Singularity Reviews

    SentinelOne Singularity

    SentinelOne

    $45 per user per year
    6 Ratings
    One intelligent platform. Unprecedented speeds Infinite scale. Singularity™, enables unrestricted visibility, industry-leading detection and autonomous response. Discover the power of AI powered enterprise-wide security. Singularity is used by the world's largest enterprises to detect, prevent, and respond to cyberattacks at machine speed, greater scale, with higher accuracy, across endpoints, cloud, and identities. SentinelOne's platform offers cutting-edge security by providing protection against malware, scripts, and exploits. SentinelOne's cloud-based platform is innovative, compliant with industry standards and high-performance, whether you are using Windows, Mac, or Linux. The platform is prepared for any threat thanks to constant updates, threat hunting and behavior AI.
  • 2
    Rapid7 InsightVM Reviews
    You can better understand the risks in your current environment and work with technical teams. InsightVM's shared view and common language can bring together traditionally siloed groups and help drive impact. You can take a proactive approach to security by tracking and establishing metrics that will help you track progress and create accountability. InsightVM not only provides visibility into the vulnerabilities in your modern IT environment--including local, remote, cloud, containerized, and virtual infrastructure--but also clarity into how those vulnerabilities translate into business risk and which are most likely to be targeted by attackers. InsightVM isn't a magic bullet. It provides the shared view and common language that are needed to bring together traditionally siloed groups and drive impact. It supports proactive vulnerability management through tracking and metrics that provide accountability for remediators, demonstrate the impact across teams, celebrate progress, and encourage celebrations.
  • 3
    Illumio Reviews
    Stop ransomware. Isolate cyberattacks. In minutes, segment across any cloud, data centre, or endpoint. Automated security enforcement, intelligent visibility, an unprecedented scale, and automated security enforcement will accelerate your Zero Trust journey. With intelligent visibility and micro-segmentation, Illumio Core prevents ransomware and attacks from spreading. You can quickly create a map of workstation communications, build policy quickly, and automate enforcement using micro-segmentation. This is easy to deploy across any application and cloud, container, data centre, or endpoint. Illumio Edge extends Zero Trust beyond the edge to limit malware and ransomware to one laptop, instead of thousands. Turn laptops into Zero Trust Endpoints, limit an infection to one machine, and give EDR and other endpoint security tools more time to detect and respond to threats.
  • 4
    Akamai Guardicore Segmentation Reviews
    Akamai Guardicore Segmentation makes it easy to segment, reduce your attack surface, and prevent lateral movement. It works everywhere and is fast and simple. Granular visibility and segmentation controls are available for Data Center, Cloud, and Hybrid Cloud Environments. The Akamai Guardicore Segmentation Platform provides the easiest and most intuitive way for you to see activity in your cloud and data center environments, set segmentation policies, protect yourself against external threats, and quickly detect potential breaches. Akamai Guardicore Segmentation gathers detailed information about an organization’s IT infrastructure using a combination of agent-based sensors and network-based data collectors. Additionally, flow logs from cloud providers are used to collect flow logs. This information is then tagged with relevant context using a highly automated labeling process. This includes integration with existing data sources such as orchestration systems and configuration management database.
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