Radware Security for Azure

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Radware Security for Azure is new fully managed security service jointly developed with Microsoft Azure. It integrates the Azure DDoS service with Radware’s WAFservice, bot manager service, analytics, threat detection and real-time security feeds in a single integrated security portal.

The Only Cloud Security Suite Operating in the Azure Network

Radware Security for Azure is the only cloud-based managed security suite operating within Azure’s data centers, as a local Azure service. In the past, customers ran security solutions such as WAF and bot management either as a cloud-based virtual appliance (which required configuration and management directly by the customer) or as an external cloud-based service (thereby adding latency and cost for traffic leaving the Azure network).

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Radware Integrates with Azure DDoS Protection

Learn how Microsoft Intelligent Security Association (MISA) partner Radware integrates with Azure DDoS Protection. Radware provides cybersecurity and attacks mitigation solutions for network and application assets, along with application delivery solutions for physical, cloud, and software-defined data centers.

Radware’s Security for Azure allows customers to enjoy a fully managed, cloud-based security solution, which runs directly in Azure regions.

Fully Managed Cloud Security Service

A fully managed cloud security service with 24 x 7 attack time support from Radware’s Emergency Response Team (ERT), one of the industry’s most experienced teams

Azure Regional Deployment

Deployed directly as a local service within Azure’s data centers, providing automated and frictionless deployment with the scale and reach of Azure.

Data Residency & Low Latency

Running within Azure regions provides ultra-low latency, based on Azure’s global network. Data resides in Azure regions to maintain data residency.

Protection for Every Threat Surface

Radware provides a full security suite based on Radware’s WAF, bot manager and threat intelligence feeds, combined with Azure’s DDoS protections.

Read the RADWARE SECURITY FOR AZURE Data Sheet

The Most Comprehensive Security Service Available on any Public Cloud Environment

Radware + Microsoft jointly developed managed service that provides full stack security solutions to Azure with:

Web Application Firewall

Industry-leading, cloud-based web application firewall (WAF) for protection against OWASP Top 10 threats such as SQL injection, cross-site scripting, and more, based on a positive security model and continuously adaptive security policies.

Bot Manager

Advanced bot management solution which uses semi-supervised machine learning to protect against new generations of bots which simulate human behavior and get past traditional bot defenses.

DDoS Protection

Integrated protection against Distributed Denial of Service (DDoS) attacks which can saturate applications with bad traffic and prevent legitimate users from accessing your applications.

Security Analytics

Sophisticated security analytics capabilities which analyze user behavior and provide granular insight into user activities, so you always know what is happening within your applications.

Threat Intelligence

Integrated with Radware’s threat intelligence and active attacker feeds, providing the latest details on bad actors.

Bring defense-in-depth to a new level with Radware managed security services in Azure with integrated auto policy generation for DDoS and application attacks, advanced BOT protection, advanced analytics and threat detection; all available in a single unified portal.

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Case Study

European Manufacturer Turns to Radware Azure Cloud DDoS Security Solution

Radware implemented a combination of Azure DDoS cloud and premisebased DDoS and WAF solutions. The data centers were protected with a hybrid DDoS solution, combining a premise-based appliance with scalable Azure cloud protection. Smaller noncritical remote sites were protected with Radware’s on-demand cloud DDoS service.

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Solution Brief

Real-Time Bot Protection Against Account Takeover

Radware’s Bot Manager uses device fingerprinting, user behavior modeling, collective bot intelligence and machine learning techniques to spot any suspicious activity across login and signup pages.

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