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Cloud Workload Protection Platforms (CWPPs) are dedicated security solutions designed to protect server workloads across various environments, including hybrid and multi-cloud data centers. These platforms aim to offer comprehensive visibility and control over diverse workloads such as physical machines, virtual machines, containers, and serverless functions, ensuring consistent security regardless of their location.
The primary function of CWPPs is to safeguard workloads through a suite of security measures including system integrity protection, application control, behavioral monitoring, intrusion prevention, and often, anti-malware protection at runtime. Additionally, CWPPs proactively scan and assess workload risks during the development process, contributing to safer deployment.
Organizations can benefit from CWPPs by enhancing their security posture while leveraging cloud computing. Key features typically include firewalls for blocking unauthorized traffic, intrusion detection and prevention systems for monitoring and managing suspicious activities, data loss prevention to safeguard sensitive information, and malware protection to detect and handle malicious software.
The advantages of employing a CWPP are multifold. They significantly bolster security through layered protection, promote cost-efficiency by consolidating security tools and minimizing the need for physical hardware, offer scalability to adapt to organizational needs, provide enhanced visibility into cloud infrastructure, and simplify the management of security measures.
In essence, CWPPs represent a strategic approach for organizations looking to secure their cloud-based assets, ensuring robust protection against a wide array of threats while benefiting from the flexibility, scalability, and efficiency of cloud computing.
While CWPPs offer numerous advantages in securing cloud workloads, there are also some potential drawbacks to consider:
Stream is the AI-native platform built to fight AI-enabled attacks. It autonomously prevents, detects, hunts, and remediates exposures and threats across production at machine speed - driving risk toward zero. It replaces the fragmented stack of scanners, runtime agents, exposure tools and playbooks with one live model of production.Defending Production needs a new approach: Stream is the only Autonomous Production Defense Platform that works across your entire production estate. It runs on a patented CloudTwin®, a high-fidelity security data harmonization layer that models Cloud, SaaS, identity, runtime, AI, network, perimeter, on-prem, security controls, and the behavior running on top of them into one live model of production: real-time, fully correlated, continuously updating. Not a snapshot. And it does not stop at boundaries - the boundaries that fragment every other tool are the same boundaries an attacker moves across. Inside CloudTwin they are one system.