Akamai Guardicore Segmentation Description

Akamai Guardicore Segmentation streamlines the segmentation process, minimizing your attack surface and hindering lateral movement through efficient and straightforward segmentation applicable across all environments. It offers granular visibility and control for data centers, cloud, and hybrid cloud setups. The Akamai Guardicore Segmentation Platform stands out as the easiest and most user-friendly solution for monitoring activities in both data center and cloud settings, allowing for the implementation of accurate segmentation policies, safeguarding against external threats, and swiftly identifying potential breaches. By utilizing a combination of agent-based sensors, network data collectors, and virtual private cloud (VPC) flow logs from various cloud providers, Akamai Guardicore Segmentation gathers comprehensive insights into an organization’s IT framework. Furthermore, this platform enhances the collected data with relevant context through a flexible and automated labeling system that integrates seamlessly with existing data sources, including orchestration tools and configuration management databases, ensuring a holistic view of security across the entire infrastructure. This capability not only strengthens security posture but also facilitates compliance with industry regulations.

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Company Details

Company:
Akamai
Year Founded:
1998
Headquarters:
United States
Website:
www.akamai.com/products/akamai-segmentation

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Product Details

Platforms
Windows
Linux
Types of Training
Training Docs
Customer Support
Business Hours
Live Rep (24/7)
Online Support

Akamai Guardicore Segmentation Features and Options

Cloud Security Software

Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management

Cloud Workload Protection Platform

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

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