Summary: DDoS protection providers detect and filter malicious traffic so websites, applications, and networks stay available during attacks. Radware is best for flexible on-demand, always-on, or hybrid protection, Akamai Prolexic for large network infrastructures, Cloudflare for edge-based web protection, and AWS Shield Advanced for AWS workloads.
What are DDoS Protection Providers?
DDoS protection providers offer services that detect and mitigate distributed denial-of-service (DDoS) attacks. These attacks use traffic from many systems to overwhelm a website, application, network, or infrastructure component. The goal is typically to exhaust bandwidth, connection capacity, or computing resources until legitimate users cannot access the service. Top reliable DDoS protection providers for online businesses include Radware, Cloudflare, Akamai Prolexic, Imperva, and AWS Shield Advanced.
Key capabilities:
- Always-on DDoS detection and mitigation: Continuously monitors traffic and automatically mitigates attacks without requiring manual activation.
- Automated and near-instant attack response: Applies filtering, rate limits, or traffic diversion quickly enough to prevent infrastructure from becoming saturated.
- Protection across layers 3–7: Defends against network, transport, and application-layer attacks, including multi-vector campaigns.
- Behavioral and machine learning-based detection: Identifies abnormal traffic using baselines, request behavior, connection patterns, and other signals beyond static signatures.
- High-capacity global scrubbing infrastructure: Filters large attack volumes through distributed mitigation infrastructure while forwarding legitimate traffic to protected systems.
- Protection against encrypted DDoS traffic: Inspects and mitigates malicious HTTPS and other encrypted traffic, including attacks that consume TLS resources.
- Web application and API protection: Uses controls such as WAF rules, rate limits, and endpoint-specific policies to protect application functions and APIs.
- Bot detection and automated attack mitigation: Distinguishes malicious automated traffic from legitimate users and applies blocking, rate limiting, or challenges based on risk.
- DNS protection: Protects authoritative DNS infrastructure using capabilities such as anycast routing, distributed capacity, traffic filtering, and query rate controls.
In this article:
The table below summarizes the key differences between the DDoS protection providers covered in this article. We explore each provider in more detail in the sections that follow.
| Category |
Solution |
Best For |
Key Strengths |
Things to Consider |
| Dedicated DDoS Mitigation Providers |
Radware Cloud DDoS Protection Service |
On-demand, always-on, or hybrid DDoS protection |
Behavioral L3/4 and L7 detection, real-time signature creation, SSL DDoS protection |
Initial baselining and tuning may be needed |
| Dedicated DDoS Mitigation Providers |
Akamai Prolexic |
Protecting networks in cloud, on-prem, or hybrid setups |
32 scrubbing centers, zero-second SLA, 24/7 SOCC |
High cost, limited direct control over mitigation |
| Dedicated DDoS Mitigation Providers |
Imperva DDoS Protection |
Websites, networks, and individual IPs |
3-second L3/4 SLA, ML-based Layer 7 thresholds |
Default settings need review, complex configuration |
| Dedicated DDoS Mitigation Providers |
NETSCOUT Arbor Cloud |
Pairing on-premises appliances with cloud scrubbing |
33 Tbps across 16 scrubbing centers, ATLAS threat intelligence |
Manual configuration, generic alerts |
| Cloud Platform and Edge Network Providers |
Cloudflare DDoS Protection |
Websites, apps, and networks needing edge mitigation |
500 Tbps network, Spectrum and Magic Transit |
Advanced features in higher tiers, complex settings |
| Cloud Platform and Edge Network Providers |
AWS Shield Advanced |
Applications running on AWS |
Traffic baselining, L7 ML rules, SRT access, cost protection |
Key features require paid Advanced tier |
| Cloud Platform and Edge Network Providers |
Azure DDoS Protection |
Public IPs in Azure virtual networks |
Adaptive tuning, Azure security integrations, rapid response team |
L7 needs separate WAF, PaaS not supported |
| Cloud Platform and Edge Network Providers |
Google Cloud Armor |
Google Cloud workloads needing DDoS and WAF |
Adaptive Protection, preconfigured WAF rules, rate limiting |
Tied to load balancer backends, policy limits |
Increasing Size and Frequency of DDoS Attacks
DDoS attacks can generate traffic volumes far beyond what a typical organization can absorb with its own network capacity. Attackers can use botnets and amplification techniques to send large amounts of traffic from distributed sources. Even short attacks can make websites, APIs, and other internet-facing services unavailable.
Reliable DDoS protection provides additional capacity and filtering infrastructure outside the organization’s network. It can detect abnormal traffic and block or absorb it before protected systems become overloaded. This reduces downtime without requiring businesses to maintain enough infrastructure for worst-case attack volumes.
Application-Layer Attacks That Mimic Legitimate Traffic
Application-layer attacks target functions that consume significant server resources, such as search, authentication, or dynamic page generation. Instead of sending unusually large traffic volumes, attackers may generate requests that resemble normal user activity. This makes simple traffic thresholds less effective.
DDoS protection services can analyze request behavior, rates, source characteristics, and traffic patterns to identify abusive clients. Techniques such as rate limiting, bot detection, and behavioral analysis can reduce malicious requests while allowing legitimate users to continue accessing the application.
Multi-Vector Attacks Targeting Networks, Applications, and APIs
Attackers can combine several DDoS techniques in the same campaign or switch between them as defenses respond. For example, an attack may use a network-layer UDP flood while simultaneously targeting an application endpoint with expensive http requests. APIs can also be targeted with requests designed to exhaust backend services or connection pools.
Effective protection must therefore cover multiple layers rather than relying on a single filtering mechanism. Network-level mitigation can absorb volumetric traffic, while application and API controls inspect individual requests and enforce appropriate limits. Coordinating these defenses helps maintain availability when attackers change tactics during an attack.
Related content: Read our guide to DDoS attack prevention best practices.
Volumetric DDoS Attacks
Volumetric attacks attempt to consume all available network bandwidth by sending extremely large amounts of traffic to a target. Common techniques include UDP floods and reflection or amplification attacks that abuse services such as:
Defending against these attacks usually requires upstream filtering and enough external network capacity to absorb traffic before it reaches the target. Cloud-based scrubbing infrastructure can separate malicious packets from legitimate traffic and forward only clean traffic to the protected network.
Protocol and Network-Layer Attacks
Protocol attacks target weaknesses or resource limits in network protocols and infrastructure. A SYN flood, for example, creates large numbers of incomplete TCP connections that consume state on servers, firewalls, or load balancers. Other attacks use malformed or fragmented packets to place additional load on network devices. Protection typically combines:
- Packet validation
- Connection limits
- SYN cookies
- Rate controls
- Traffic filtering
Mitigation should occur before stateful network devices become saturated, because those devices can fail even when sufficient bandwidth remains available.
Application-Layer and HTTP Flood Attacks
Application-layer attacks target web servers and application resources using apparently valid requests. HTTP floods can:
- Repeatedly access computationally-expensive endpoints
- Perform searches
- Initiate authentication attempts
- Request uncached content
Relatively modest traffic volumes can consume substantial CPU, memory, or backend capacity. Mitigation requires visibility into HTTP behavior rather than packet volume alone. Rate limiting, behavioral analysis, bot detection, caching, and web application firewall rules can identify abnormal request patterns while minimizing disruption to legitimate users.
DNS DDoS Attacks
DNS attacks target the infrastructure responsible for translating domain names into IP addresses. Attackers may flood authoritative DNS servers with queries or use DNS infrastructure as part of reflection and amplification attacks. If authoritative servers become unavailable, users may be unable to reach an online service even when its application servers remain operational.
Organizations can reduce this risk by using distributed authoritative DNS infrastructure with redundant servers and anycast routing. Measures that can further limit the impact of query floods include:
- DNS-specific traffic filtering
- Query rate controls
- Sufficient network capacity
Botnet-Driven DDoS Attacks
Botnets consist of compromised computers, servers, routers, internet of things devices, and other connected systems controlled by an attacker. A botnet can coordinate requests from many different IP addresses, making malicious traffic harder to distinguish from legitimate users. Effective defenses analyze more than source IP addresses. Providers can examine:
- Request rates
- Device characteristics
- Connection behavior
- Reputation signals
- Traffic patterns
Challenges or other verification mechanisms can also help separate automated attack traffic from real users.
Encrypted DDoS Attacks
Encrypted DDoS attacks send malicious traffic over protocols such as HTTPS. Because traffic is encrypted, network devices that cannot inspect the application payload have limited information for identifying malicious requests. TLS connection establishment and encryption operations can also consume server resources.
Protection may terminate TLS connections at an edge network so requests can be inspected before reaching the origin. Providers can then apply:
- HTTP filtering
- Rate controls
- Bot detection
The provider thus absorbs the computational cost of large numbers of encrypted connections.
1. Always-On DDoS Detection and Mitigation
Always-on protection continuously routes or monitors production traffic through mitigation infrastructure. This avoids waiting for an administrator to detect an attack and manually redirect traffic after availability has already been affected. It is particularly important for businesses where even a few minutes of downtime can interrupt transactions or customer access.
For businesses that require continuous availability, providers should offer automatic detection and mitigation without manual activation. The service should establish normal traffic baselines and continuously compare current traffic against them. It should also support configurable policies so expected traffic spikes, such as product launches or sales events, are not incorrectly treated as attacks.
2. Automated and Near-Instant Attack Response
DDoS attacks can overwhelm infrastructure within seconds, making response time an important consideration. Automated mitigation can apply filtering, rate limits, or traffic diversion as soon as attack indicators cross defined thresholds. Fast response also helps prevent upstream links, load balancers, and application servers from becoming saturated before mitigation begins.
Businesses should examine both detection and mitigation times when comparing providers. They should determine which responses are automatic, which require human intervention, and whether mitigation introduces noticeable latency. Providers should also offer clear telemetry showing when an attack was detected, what mitigation actions were applied, and how much malicious traffic was blocked.
3. Protection Across Layers 3–7
Attackers can target network bandwidth, transport protocols, or individual application functions. Protection limited to one layer can leave other parts of the infrastructure exposed. For example, network filtering may stop a UDP flood but do little against an HTTP flood that sends valid-looking requests to an expensive application endpoint.
A provider should mitigate network- and transport-layer attacks at layers 3 and 4 while also inspecting application traffic at layer 7. Coordinated protection is particularly useful against multi-vector attacks that change techniques during an incident. Businesses should verify that the service protects all relevant protocols and services rather than only standard web traffic.
4. Behavioral and Machine Learning-Based Detection
Static signatures and thresholds can identify known attacks but may miss traffic that closely resembles legitimate activity. Behavioral detection establishes patterns for normal traffic and identifies deviations in request rates, connection behavior, endpoints, geographic distribution, and other signals. This can help identify attacks that remain below simple volume thresholds.
Machine learning can support this analysis across large traffic volumes and changing application patterns. However, businesses should evaluate detection accuracy, false-positive controls, and the ability to tune policies rather than treating machine learning itself as a guarantee of effective protection. Administrators should also be able to review why traffic was classified as suspicious.
5. High-Capacity Global Scrubbing Infrastructure
Scrubbing infrastructure receives potentially malicious traffic, removes attack traffic, and forwards legitimate requests to the destination. Its capacity and geographic distribution determine how effectively a provider can handle large attacks without creating network bottlenecks. Distributed infrastructure can also process malicious traffic closer to its source instead of sending it through a small number of centralized facilities.
Businesses should compare network capacity, scrubbing locations, routing architecture, and redundancy. Capacity should be considered alongside the provider's ability to distribute attacks across its network and maintain performance during simultaneous incidents. Providers should have sufficient headroom to handle attack traffic without competing customers exhausting shared mitigation resources.
6. Protection Against Encrypted DDoS Traffic
HTTPS and other encrypted protocols can hide application-level attack characteristics from systems that only inspect network metadata. TLS handshakes can also consume computing resources when attackers create large numbers of encrypted connections. As more application traffic uses encryption, this capability is necessary for detecting many layer 7 attacks.
Providers should be able to terminate or inspect encrypted connections where appropriate and apply mitigation before traffic reaches origin infrastructure. Businesses should review certificate management, supported TLS versions, privacy requirements, and the performance impact of inspection. The provider should also protect against attacks designed specifically to consume resources during TLS negotiation.
7. Web Application and API Protection
Applications and APIs can be attacked with requests that are technically valid but designed to exhaust expensive backend resources. Attackers may repeatedly invoke searches, authentication functions, database-heavy operations, or API endpoints with strict resource requirements. These attacks can cause performance problems without producing unusually high bandwidth consumption.
Integration with a web application firewall and API protection controls can help block malicious requests, enforce rate limits, and protect sensitive endpoints. Policies should be configurable so controls reflect the behavior and resource requirements of individual applications. Useful capabilities include endpoint-specific limits, schema validation, authentication-aware controls, and visibility into which application functions are being targeted.
8. Bot Detection and Automated Attack Mitigation
Distributed bots can generate traffic that resembles real browser or API activity, making IP-based blocking insufficient. Attackers can rotate IP addresses, imitate browser headers, maintain sessions, and vary request patterns to bypass basic controls. Large botnets can also distribute requests so that each individual source generates relatively little traffic.
Effective bot detection combines signals such as request behavior, client characteristics, reputation, session activity, and interaction patterns. Mitigation can then block, rate-limit, or challenge suspicious clients based on risk. Providers should minimize disruption to legitimate users, search crawlers, mobile applications, and trusted API clients while making it difficult for automated attackers to adapt.
9. DNS Protection
DNS availability is essential because users cannot reliably reach online services when authoritative DNS infrastructure is unavailable. A DDoS provider should protect DNS services against query floods, amplification attacks, and attempts to exhaust server or network capacity. DNS protection is especially important when multiple applications depend on the same domains or authoritative infrastructure.
Useful capabilities include globally distributed authoritative DNS, anycast routing, redundant infrastructure, traffic filtering, and query rate controls. Anycast can distribute requests across multiple locations and help prevent one facility from becoming a bottleneck. Businesses should also verify that DNS protection remains independent of their primary hosting environment to reduce shared points of failure.
How we selected these providers: We shortlisted DDoS protection providers based on coverage for Layer 3 to Layer 7 attacks, always-on and automated mitigation, global scrubbing capacity, application and bot protection, and access to managed attack response.
Dedicated DDoS Mitigation Providers
1. Radware Cloud DDoS Protection Service
Best for: Organizations needing on-demand, always-on, or hybrid DDoS protection
Strengths: Behavioral L3/4 and L7 detection with real-time signature creation
Things to consider: Initial baselining and tuning may be needed after onboarding
Radware Cloud DDoS Protection Service is a managed cloud service that detects and mitigates network-layer (L3/4) and application-layer (L7) DDoS attacks. It uses behavioral-based detection to identify traffic that deviates from normal patterns and automatically creates real-time signatures to block zero-day attacks. The service also mitigates SSL-based DDoS attacks.
The service runs on a worldwide network of 25 scrubbing centers with 30 Tbps of mitigation capacity. The centers are connected in full mesh using anycast routing, so attacks are mitigated close to their point of origin. Customers can choose on-demand, always-on, or hybrid deployment, and the service is managed by Radware's Emergency Response Team (ERT).
Key features include:
- Behavioral-based detection: Learns normal traffic patterns and flags deviations at both the network and application layers. This helps identify attacks that resemble legitimate traffic and would not trigger simple volume thresholds.
- Automatic real-time signature creation: Generates attack signatures while an attack is in progress to block previously unseen and zero-day DDoS patterns without waiting for manual rule updates.
- SSL DDoS protection: Mitigates encrypted DDoS attacks that target HTTPS services and the server resources consumed by SSL/TLS connections.
- Flexible deployment models: On-demand diverts traffic to the cloud only after an attack is detected, with no added latency in peacetime. Always-on routes traffic continuously through cloud scrubbing. Hybrid combines on-premises devices with cloud scrubbing capacity for data center protection.
- Global scrubbing network: 25 scrubbing centers with 30 Tbps of capacity, connected in full mesh with anycast routing, absorb large volumetric attacks closest to their source.
- Managed service and granular SLA: The ERT handles attack response, a dedicated Technical Account Manager covers configuration, integration, and upgrades, and the SLA includes commitments for time to detect, alert, divert, and mitigate.
- Pre-attack alerts and post-attack forensics: Alerts are drawn from a library of cyberthreat advisories built by mining data across the web and darknet, and post-attack forensic analysis comes with recommendations.
- Visibility and reporting portal: Displays network health and attacked assets in real time, with peacetime and under-attack reports that can be exported for further analysis.
Limitations (as reported by users on G2):
- Learning curve for new administrators: Some users note the interface can take time to learn and that training helps when using the full feature set.
- Initial tuning: Users mention that traffic baselining and tuning may be needed at the start to optimize behavioral detection.
- Onboarding time: Some users found onboarding lengthy and suggest working with a defined statement of work to streamline it.
2. Akamai Prolexic
Best for: Enterprises protecting networks in cloud, on-prem, or hybrid setups
Strengths: 32 scrubbing centers, zero-second SLA, and 24/7 SOCC
Things to consider: Users cite high cost and limited direct control over mitigation
Akamai Prolexic is a DDoS protection and network cloud firewall service that can be deployed in the cloud, on-premises (powered by Corero), or as a hybrid of both. Incoming traffic is routed to Prolexic, which inspects it, applies proactive or custom mitigation controls, and separates attack traffic from valid traffic. Only clean traffic is forwarded to the customer's systems.
Prolexic runs on Akamai's network of more than 1 Pbps, with 32 anycast scrubbing centers and over 20 Tbps of dedicated DDoS defense capacity. It is available as always-on or on-demand protection and includes 24/7/365 support from Akamai's security operations command center (SOCC).
Key features include:
- Cloud, on-premises, and hybrid deployment: The on-premises option brings scrubbing in-house for latency-sensitive services such as video, gaming, and voice. The hybrid option adds cloud capacity for large, sustained attacks that could saturate local links.
- Anycast scrubbing network: All scrubbing centers participate in protecting customer traffic. Anycast routing mitigates attack traffic closest to its source while applying the platform's combined capacity to the largest attacks.
- Proactive mitigation controls: Controls apply mitigation as attacks begin, backed by a zero-second mitigation SLA and a 100% platform availability SLA. Dynamic mitigation controls scale across IPv4 and IPv6 traffic flows.
- Always-on or on-demand operation: Always-on routes all inbound traffic through Prolexic. On-demand routes traffic only during an attack, and a facilitated route-on service can manage that switch for the customer's team.
- Prolexic Network Cloud Firewall: Customers define and manage geo- and IP-based access control lists and firewall rules at the network edge, or use ACLs suggested by Prolexic. API integrations connect the firewall with other security systems.
- Connectivity options: Routed GRE requires a /24 IPv4 or /48 IPv6 block and BGP advertisement. IP Protect uses anycast for smaller or fragmented IP space and cloud-hosted origins, and Prolexic over Akamai Direct Connect supports 10G and 100G private ports.
- Managed SOCC services: More than 225 frontline responders across six locations provide pre-, during-, and post-mitigation analysis. Services include custom runbooks, service validation exercises, and operational readiness drills.
Limitations (as reported by users on G2):
- Pricing: Several users describe the subscription cost as high relative to their expectations.
- Limited direct control: Users note that much of the mitigation is controlled by Akamai's SOC, with less customer control over detection algorithms and limited visibility into scrubbing center operations.
- Logging depth: Some users report minimal logging and see room to improve automated log generation.
- False positives: One user reports false positives affecting the accuracy of reported incidents.
- Manual steps: Users mention that some initial human intervention is required and that certain automated mitigations are missing.
3. Imperva DDoS Protection
Best for: Websites, networks, and individual IPs needing L3-L7 DDoS protection
Strengths: 3-second L3/4 mitigation SLA and ML-based Layer 7 thresholds
Things to consider: Default settings need review; configuration can be complex
Imperva DDoS Protection is a cloud-based service that mitigates volumetric, protocol, and Layer 7 DDoS attacks targeting websites, networks, individual IPs, and DNS servers. It includes a guaranteed mitigation SLA of 3 seconds or less for Layer 3 and 4 attacks and integrates with the Imperva Application Security platform, including its cloud WAF and bot protection.
Protection is delivered through three options: Website Protection, Networks Protection, and Individual IP Protection. The service runs on a global anycast network with 13 Tbps of scrubbing capacity and can operate in always-on or on-demand mode.
Key features include:
- Website protection: Routes HTTP/S traffic through Imperva's proxy using a DNS change, masks the origin server's IP, and filters DDoS traffic continuously. It works with Imperva's cloud WAF to block attacks and malicious bots.
- Network protection: Shields entire network infrastructures from volumetric and multi-vector Layer 3 and 4 attacks. Connectivity options include GRE tunnels, cross connects, and virtual cross connects such as Equinix Fabric, with flow-based monitoring and automatic or manual switchover.
- Individual IP protection: Protects specific IPs from Layer 3 and 4 attacks, including non-HTTP assets and assets that cannot be inspected by a cloud WAF for regulatory reasons. An IP from Imperva's ranges serves as the alternative destination for the protected server.
- Adaptive Layer 7 protection: Machine learning analyzes traffic patterns and sets thresholds for Layer 7 attacks automatically. Heuristic, behavioral, and contextual analysis, plus crowdsourced data, separate legitimate from malicious traffic, with 0.01% of visitors receiving CAPTCHA challenges.
- Anycast routing with real-time capacity management: Monitors network conditions at every point of presence and routes traffic over the most efficient paths. The network provides sub-50 millisecond latency for 95% of the world.
- Self-service onboarding and automation: A self-service portal is used to configure and adjust DDoS settings, and mitigation runs automatically without manual intervention, including in on-demand mode.
- Alerts and SIEM integration: Attack notifications are sent by email, SMS, and mobile app, and DDoS events can be sent to SIEM systems for correlation with other security data.
- ISP-agnostic deployment: Works with any internet service provider, so a single defense strategy can be applied across multiple ISPs.
Limitations (as reported by users on G2):
- Default configuration: One user reports that default values can allow protection to be bypassed unless settings are reviewed before production deployment.
- Configuration and performance: Some users find configuration difficult and report slow performance in certain modules.
- SIEM logging setup: A user describes audit logging to SIEM as challenging to configure.
- Cost: Several users mention pricing and limited cost optimization as drawbacks.
- Zero-day updates: One user would prefer signature updates for newly published zero-day vulnerabilities instead of manual remediation suggestions.
4. NETSCOUT Arbor Cloud
Best for: Pairing on-premises Arbor appliances with cloud scrubbing capacity
Strengths: 33 Tbps across 16 scrubbing centers and ATLAS threat intelligence
Things to consider: Users report manual configuration and generic alerts
NETSCOUT Arbor Cloud is a fully managed cloud DDoS protection service that can be used on its own or combined with on-premises Arbor Edge Defense (AED) appliances. It counters high-volume attacks targeting bandwidth, low-and-slow attacks aimed at applications and infrastructure, and simultaneous multi-vector attacks.
Inbound traffic is routed via BGP or DNS through 16 global scrubbing centers with 33 Tbps of mitigation capacity, and only clean traffic is returned to the customer's internet links and servers. The service is supported by NETSCOUT's 24x7 ATLAS Security Engineering & Response Team (ASERT).
Key features include:
- Automated detection and mitigation: Attacks are detected using stateless packet processing, cloud-based IP flow analysis, or both, and are automatically routed to Arbor Cloud scrubbing centers for mitigation.
- Hybrid protection with cloud signaling: On-premises AED handles state-exhausting and application attacks that target firewalls, intrusion prevention systems, and applications. AED signals Arbor Cloud automatically when larger attacks require cloud scrubbing.
- Cloud-only or hybrid deployment: Arbor Cloud can be deployed as a standalone cloud-only service invoked on demand, as part of an always-on setup, or combined with on-premises AED.
- Sub-minute mitigation SLA: Mitigation starts within 60 seconds of detecting an attack, whether detection comes from AED cloud signaling, flow detection, or always-on monitoring.
- Global threat intelligence: ATLAS and ASERT feed the service with intelligence gathered through malware analysis pipelines, sinkholes, scanners, honeypots, and open-source intelligence data sets.
- Incident management: DDoS experts in NETSCOUT's 24x7 Security Operations Center provide real-time feedback through a ticketing system during incidents.
- Arbor Cloud WAF: An always-on cloud WAF covers OWASP Top 10 risks and adds virtual patching and bot management for customer-facing applications.
Limitations (as reported by users on Gartner Peer Insights):
- Manual configuration: A user reports that every configuration has to be done manually and reviewed regularly to stay current.
- Alert specificity: Alerts generated by the service are described as generic rather than specific.
- Hybrid cost and log retention: A reviewer notes that a hybrid deployment combining cloud and appliance is needed for the strongest protection, which raises costs and creates log retention issues.
Cloud Platform and Edge Network Providers
5. Cloudflare DDoS Protection
Best for: Websites, apps, and networks needing always-on edge DDoS mitigation
Strengths: 500 Tbps network with Spectrum and Magic Transit coverage
Things to consider: Advanced features need higher-tier plans; settings can be complex
Cloudflare DDoS Protection mitigates DDoS attacks using Cloudflare's global network, which has 500 Tbps of network capacity. The same network runs Cloudflare's CDN, DNS, WAF, and other services, so DDoS protection can be combined with application security and delivery services on one platform.
Protection covers websites and web applications, TCP/UDP applications through Cloudflare Spectrum, and networks and data centers through Magic Transit. Customers have access to 24/7 email and phone support, including an Under Attack hotline.
Key features include:
- Network capacity: 500 Tbps of capacity across Cloudflare's global network absorbs large volumetric attacks before they reach origin infrastructure.
- Website and web application protection: Filters DDoS traffic targeting websites and applications at the edge, so legitimate visitors continue to reach the service during an attack.
- TCP/UDP application protection with Spectrum: Extends DDoS protection to applications built on any protocol, including custom protocols, running on any server, container, or virtual machine.
- Network and data center defense with Magic Transit: Protects networks, data centers, and infrastructure against Layer 3 and 4 DDoS attacks by routing traffic through Cloudflare's network.
- Related application security services: WAF, rate limiting, bot management, and Turnstile (a CAPTCHA replacement) are available on the same platform for Layer 7 and automated attack mitigation.
- DNS and load balancing: Cloudflare DNS and load balancing services run on the same network as DDoS protection.
- 24/7 support and Under Attack hotline: Email and phone support are available around the clock, with a dedicated hotline for organizations currently under attack.
Limitations (as reported by users on G2):
- Configuration complexity: Many users report a learning curve for advanced security settings, custom WAF rules, and rate limiting, and say the dashboard can feel overwhelming.
- Tiered feature access: Users note that advanced bot management, analytics, and some security features are only available on higher-tier plans, and costs can rise as requirements grow.
- Support on lower tiers: Several users describe support response times on free and lower-tier plans as slow.
- False positives: Users report that WAF and bot rules can block legitimate traffic and require manual tuning.
- Troubleshooting and log export: Some users find it hard to determine whether issues stem from Cloudflare settings or the origin, and note that exporting raw logs to an external SIEM can be costly at high volumes.
6. AWS Shield Advanced
Best for: Applications running on AWS that need managed DDoS response
Strengths: Traffic baselining, L7 ML rules, SRT access, and cost protection
Things to consider: Key capabilities require the paid Advanced tier; cost is high
AWS Shield Advanced is a managed DDoS protection subscription for applications running on Amazon EC2, Elastic Load Balancing, Amazon CloudFront, AWS Global Accelerator, and Amazon Route 53. It adds detection and mitigation for large and sophisticated attacks on top of AWS Shield Standard, which all AWS customers receive at no additional charge.
Shield Advanced covers layers 3, 4, and 7, integrates with AWS WAF, and provides 24/7 access to the AWS Shield Response Team (SRT) for customers on Business or Enterprise support plans. It is available on all CloudFront, Global Accelerator, and Route 53 edge locations, and CloudFront can front origins hosted outside AWS.
Key features include:
- Tailored detection: Baselines traffic for each protected resource using region- and resource-specific monitoring. This detects smaller DDoS attacks as well as application-layer attacks such as HTTP floods and DNS query floods.
- Health-based detection: Associates Route 53 health checks with protected resources, so attacks that affect application health are detected faster and at lower traffic thresholds.
- Automatic application layer mitigation: An AWS Managed Rule group in AWS WAF uses machine learning to detect deviations from baseline traffic and mitigate Layer 7 events within seconds. Sensitivity and URI path inspection are configurable, and the subscription includes up to 50 billion WAF requests per month.
- Advanced mitigation and SRT engagement: Deploys additional mitigation capacity through routing techniques. The SRT can apply manual mitigations and custom WAF rules, and proactive engagement contacts customers when a protected resource's health check becomes unhealthy.
- Protection groups: Bundles multiple resources into a single unit for detection and mitigation, so newly created resources inherit protection and reporting reflects overall application health.
- Visibility and notifications: Sends near real-time attack notifications through Amazon CloudWatch and provides detailed diagnostics and event history in the console and APIs.
- DDoS cost protection: Customers can request service credits for scaling charges on protected resources that result from DDoS-related usage spikes.
- Centralized management: AWS Firewall Manager, included in the subscription, applies Shield Advanced and AWS WAF policies across accounts and audits for new or unprotected resources.
Limitations (as reported by users on G2):
- Tier restrictions: Users note that detailed attack diagnostics, proactive engagement, and cost protection are only available in Shield Advanced, not Shield Standard.
- Cost: Several users describe the Shield Advanced subscription as expensive, especially for smaller organizations.
- Notification detail: One user would like attack notifications to include more detail.
- Billing clarity: A user reports that interactions with other AWS services can make billing confusing.
- False positives and control: Users mention occasional false positives and limited options for scheduling or customizing protections.
7. Azure DDoS Protection
Best for: Workloads with public IPs in Azure virtual networks
Strengths: Adaptive tuning, Azure security integrations, and rapid response team
Things to consider: L7 needs a separate WAF; PaaS services are not supported
Azure DDoS Protection provides always-on traffic monitoring and automatic mitigation of network-layer DDoS attacks for resources in Azure virtual networks. It is available as two SKUs, Network Protection and IP Protection, and adds tuning, logging, alerting, and telemetry beyond the default platform-level protection included in Azure.
The service scrubs traffic at the Azure network edge and protects public IPs in Azure Resource Manager virtual networks. Layer 7 protection is provided by combining the service with a web application firewall such as Application Gateway WAF.
Key features include:
- Adaptive tuning: Monitors application traffic patterns and compares actual traffic against thresholds defined in the DDoS policy, with automatic tuning for the Azure resources being protected.
- Multilayer protection: Mitigates network layer (Layer 3 and 4) attacks and, together with a WAF, common application layer (Layer 7) attacks.
- Azure security integration: Works with Azure Monitor, Microsoft Defender for Cloud, Microsoft Sentinel, and other Microsoft security services for monitoring and investigation.
- Rapid response team: The DDoS Protection rapid response team helps with investigation, custom mitigation, and post-attack analysis within a 15-minute SLA.
- Cost protection: Helps reduce costs from DDoS-related usage spikes, such as application scaling charges and bandwidth surges.
- Attack visibility: Attack metrics appear in the Azure portal within about five minutes, with logging, alerting, and telemetry for protected resources.
- Zone resilience: The service is zone-resilient by default with no customer configuration required.
Limitations (as reported by users on G2):
- Pricing: Many users describe the paid tier as expensive, particularly when protecting multiple IP addresses and resources.
- Limited configuration control: Users would like more control over detection details and the ability to apply different protection plans to different resources.
- Sustained attack options: One user notes the absence of a mode to temporarily block all traffic during sustained attacks.
- Interface: A user would like the GUI to be more detailed and user-friendly.
8. Google Cloud Armor
Best for: Google Cloud workloads needing combined DDoS protection and WAF
Strengths: ML-based Adaptive Protection, preconfigured WAF rules, rate limiting
Things to consider: Tied to load balancer backends; some features need Enterprise tier
Google Cloud Armor is a network security service that combines DDoS protection with a web application firewall (WAF). It provides built-in defenses against Layer 3 and 4 DDoS attacks for workloads behind Google Cloud Load Balancing and can enforce Layer 7 security policies for applications on Google Cloud, in hybrid architectures, or in multicloud environments.
Cloud Armor is offered in Standard and Cloud Armor Enterprise tiers. The Enterprise tier bundles DDoS and WAF services, curated rule sets, and other services for a predictable monthly price.
Key features include:
- Adaptive Protection: A machine learning system trained locally on each application detects high-volume Layer 7 DDoS attacks and helps mitigate them.
- Advanced network DDoS protection: Provides always-on detection and mitigation of volumetric network and protocol attacks for workloads using external network load balancers, protocol forwarding, and VMs with public IP addresses.
- Preconfigured WAF rules: Out-of-the-box rules based on industry standards mitigate common web vulnerabilities, including cross-site scripting (XSS) and SQL injection (SQLi), and help address OWASP Top 10 risks.
- Rate limiting: Rate-based rules limit the volume of requests reaching application instances so floods do not block access for legitimate users.
- Bot management: Native integration with reCAPTCHA Enterprise manages automated clients and helps stop fraud at the edge.
- Custom rules and access control: A rules language supports combinations of Layer 3 to Layer 7 parameters and geolocation, along with IPv4 and IPv6 allow and deny lists and curated named IP lists.
- Preview mode: Rules can be deployed in preview mode to measure their impact on production traffic before enforcement.
- Monitoring and logging: Security policy metrics appear in Cloud Monitoring, suspicious traffic patterns in Security Command Center, and per-request decisions in Cloud Logging.
Limitations (as reported by users on G2):
- Load balancer dependency: Users report that Cloud Armor depends on load balancer backend services and, in their experience, had limited coverage for non-HTTP load balancers.
- Policy limits: One user found the number of security policies allowed per project too low for their use case.
- Pricing complexity: Users describe pricing and support plans as complex or costly.
- Learning curve and documentation: Several users mention a learning curve and see room to improve documentation.
- Monitoring layout: A user notes that visibility and monitoring data are not structured in an easy-to-use way.
Reliable DDoS protection requires defenses that can respond quickly across network, transport, and application layers. Organizations should evaluate providers based on automated mitigation, scrubbing capacity, encrypted traffic protection, application and API controls, bot detection, DNS protection, and operational support. The selected service should match the organization’s infrastructure and traffic patterns while providing enough capacity and automation to maintain availability during large or multi-vector attacks.