Why multi‑cloud security matters today
Enterprises increasingly spread workloads across public, private and hybrid clouds to avoid vendor lock‑in, improve resilience, and scale on demand. This distribution creates a larger attack surface, requiring security that follows traffic wherever it goes. Radware's Application Security Delivery (ASD) platform is built to protect applications in any cloud environment with a single, consistent policy set, eliminating gaps that attackers exploit.
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Core components of Radware's ASD solution
Radware bundles three tightly integrated services:
- Distributed Denial‑of‑Service (DDoS) protection – scrubs volumetric, protocol and application‑layer attacks in real time.
- Bot Management – distinguishes legitimate users from malicious bots using behavior analytics and machine learning.
- Web Application Firewall (WAF) – enforces OWASP Top 10 rules and custom signatures.
These components share a global threat intelligence network, so detection in one region instantly informs mitigation everywhere.
How DDoS mitigation works across clouds
When traffic reaches a Radware edge node—whether in an AWS edge location, Azure Front Door, or a private data‑center appliance—the platform applies a three‑stage process:
The same policies apply whether the application sits behind an AWS Elastic Load Balancer, Azure Application Gateway, or an on‑premises load balancer, ensuring consistent protection.
Bot management in a multi‑cloud world
Bots range from harmless crawlers to credential‑stuffing engines that harvest accounts. Radware's Bot Manager uses a layered approach:
- Fingerprinting: Captures device, browser and network attributes.
- Behavioral analysis: Monitors request timing, navigation paths and interaction patterns.
- Machine‑learning scoring: Assigns a risk score that updates in seconds as new data arrives.
High‑risk bots are blocked or challenged with CAPTCHAs, while low‑risk crawlers receive a "good‑bot" badge to avoid unnecessary friction. Because the scoring engine runs at the edge, decisions are made before traffic reaches the origin, reducing latency.
Deployment models for any cloud strategy
Radware offers three deployment options that align with different architectural goals:
| Model | Typical Use‑Case | Key Benefit |
|---|---|---|
| Cloud‑Native (SaaS) | Pure public‑cloud workloads | Zero‑maintenance, auto‑scale, API‑driven integration |
| Hybrid (Hybrid‑Edge) | Mixed on‑premises and cloud apps | Unified policy across on‑prem edge appliances and cloud edge nodes |
| On‑Premises (Appliance) | Regulated industries with data‑sovereignty constraints | Full control of traffic path, local inspection |
All models share the same threat‑intelligence feed, so protection quality does not degrade when workloads move between clouds.
Operational advantages for security teams
Radware's centralized console consolidates alerts, dashboards and policy configuration. Automation scripts can pull attack metrics via REST APIs, enabling integration with SIEMs and SOAR platforms. The platform also supports granular role‑based access, so teams can delegate responsibilities without exposing full control.
Key considerations when evaluating Radware
Potential buyers should assess:
- Latency impact: Edge deployment minimizes added latency, but on‑premises appliances add a hop that must be sized for peak traffic.
- Integration depth: Verify API compatibility with existing CI/CD pipelines and cloud‑native load balancers.
- Pricing model: SaaS pricing is consumption‑based, while appliance licensing is capacity‑focused; choose the model that matches traffic growth forecasts.
Overall, Radware's multi‑cloud ASD suite delivers consistent DDoS and bot protection, reduces operational overhead, and scales with modern application architectures.