Quick summary
DDoS protection in 2026 spans free tiers (Cloudflare, AWS Shield Standard) to enterprise solutions ($3,000+/month). Detection speed ranges from under 1 second (agent-based) to 60+ seconds (flow-based). The seven main attack families target different network layers. Essential features include automatic mitigation, PCAP forensics, and multi-channel alerting. This page provides the pricing, comparison data, and decision frameworks you need to evaluate and select DDoS protection.
What is DDoS protection and how does it work?
DDoS (Distributed Denial of Service) protection is a set of technologies and practices designed to detect, absorb, and filter malicious traffic that aims to overwhelm a target server, network, or application. The goal of a DDoS attack is to exhaust the target's resources (bandwidth, CPU, memory, connection tables) so that legitimate users cannot access the service.
DDoS protection works through three core functions:
- Detection: Identifying that an attack is in progress by monitoring traffic patterns, packet rates, protocol distribution, and behavioral anomalies. Detection can be agent-based (software running on each server), flow-based (analyzing NetFlow/sFlow data from routers), or cloud-based (analyzing traffic as it passes through a proxy or scrubbing center).
- Classification: Determining the type of attack (volumetric flood, protocol attack, application-layer attack) and its specific characteristics (source IPs, protocols, ports, packet sizes). Classification determines which mitigation strategy to apply.
- Mitigation: Filtering or absorbing the attack traffic while allowing legitimate traffic to pass. Mitigation methods include cloud scrubbing (routing traffic through external cleaning centers), BGP FlowSpec (distributing filtering rules to upstream routers), RTBH (blackholing traffic to a target IP at the network edge), on-premise hardware appliances, and host-level firewall rules.
Modern DDoS protection platforms combine all three functions into an automated pipeline. When an attack is detected, the system classifies it, selects the appropriate mitigation strategy, and deploys countermeasures without human intervention. The best systems complete this cycle in under 2 seconds.
How much does DDoS protection cost in 2026?
DDoS protection pricing varies enormously depending on the approach, vendor, and scale of deployment. Here is a comprehensive comparison of pricing across all major categories.
Cloud and CDN-based DDoS protection
| Provider | Tier | Price | What's included |
|---|---|---|---|
| Cloudflare | Free | $0/mo | Unmetered HTTP/HTTPS DDoS protection, basic WAF, DNS |
| Cloudflare | Pro | $20/mo | Managed WAF rulesets, advanced analytics, faster propagation |
| Cloudflare | Business | $200/mo | Custom WAF rules, detailed attack logs, 99.99% SLA |
| Cloudflare | Enterprise | Custom | Magic Transit (L3/L4), Spectrum (non-HTTP), dedicated support |
| AWS Shield | Standard | Free | Automatic L3/L4 protection for all AWS resources |
| AWS Shield | Advanced | $3,000/mo | 12-month commitment, DRT access, cost protection, WAF included |
| Azure DDoS | Network Protection | ~$2,944/mo | Per plan, covers up to 100 public IPs, adaptive tuning, DRR team |
| Google Cloud Armor | Standard | $5/policy/mo | + $1/million requests. Automatic L3/L4, custom WAF rules |
| Google Cloud Armor | Plus | $3,000/mo | Adaptive ML protection, DDoS response support, pre-configured rules |
| Akamai Prolexic | Always-On | $5,000-10,000+/mo | Protocol-agnostic, 20+ Tbps scrubbing, 24/7 SOC, any infrastructure |
Agent-based and flow-based detection
| Provider | Model | Price | Detection speed |
|---|---|---|---|
| Flowtriq | Per-node agent | $9.99/node/mo | Under 1 second |
| Flowtriq | Flow collection | $19/source/mo | 15-30 seconds (flow interval dependent) |
| Flowtriq | Annual (per-node) | $7.99/node/mo | Under 1 second |
| Arbor Sightline | Flow-based | $50,000+ (license) | 30-60 seconds |
| Kentik | Flow-based SaaS | Custom | 30-60 seconds |
Managed protection services
| Tier | Price | What's included |
|---|---|---|
| Flowtriq Watch | $499/mo | 24/7 monitoring, alert triage, monthly reporting |
| Flowtriq Respond | $1,499/mo | Active incident response, mitigation deployment, SLA-backed response times |
| Flowtriq Dedicated | $3,999/mo | Dedicated analyst, custom runbooks, proactive threat hunting |
What are the main types of DDoS attacks?
DDoS attacks are classified into seven primary families based on the layer they target and the mechanism they use. Understanding these families is essential for selecting the right protection, because different attack types require different mitigation strategies.
1. Volumetric floods
Volumetric attacks aim to saturate the target's network bandwidth. The attacker generates more traffic than the target's internet connection can handle, causing legitimate traffic to be dropped. Common techniques include UDP floods with random payloads and ICMP floods. Volumetric attacks are measured in bits per second (bps). Modern volumetric attacks regularly exceed 1 Tbps, with the current record at 5.6 Tbps (Cloudflare, October 2024).
2. Protocol attacks
Protocol attacks exploit weaknesses in network protocol implementations to exhaust server resources. The most common protocol attack is the SYN flood, which exploits the TCP three-way handshake. Other protocol attacks include ACK floods, RST floods, and fragmented packet attacks. These attacks are measured in packets per second (PPS) rather than bandwidth, because the damage comes from overwhelming the server's connection tracking and state management, not its link capacity.
3. Application-layer attacks (Layer 7)
Application-layer attacks target the application itself rather than the network. HTTP floods send seemingly legitimate requests that consume server CPU, memory, and database resources. Slowloris holds connections open with slow, partial requests to exhaust the server's connection pool. These attacks are measured in requests per second (RPS) and are particularly difficult to mitigate because the individual requests appear legitimate.
4. DNS amplification
DNS amplification exploits open DNS resolvers to amplify attack traffic. The attacker sends small DNS queries with the victim's spoofed source IP to open resolvers. The resolvers respond with much larger DNS answers directed at the victim. The amplification factor ranges from 28x to 54x, meaning a 1 Mbps attack generates 28 to 54 Mbps of flood traffic hitting the target.
5. SYN floods
SYN floods send a high volume of TCP SYN packets with spoofed source addresses. Each SYN forces the server to allocate memory for a half-open connection and wait for the completing ACK that never arrives. The server's connection table fills up, preventing legitimate users from establishing new connections. SYN cookies (a kernel-level countermeasure) and per-source rate limiting are the primary defenses.
6. UDP floods
UDP floods send large volumes of UDP packets to random or targeted ports on the victim server. Because UDP is connectionless, the server must process each packet to determine whether any application is listening on the destination port. When no application is listening, the server responds with ICMP "destination unreachable" messages, consuming additional resources. UDP floods are the most common attack vector against game servers.
7. HTTP floods
HTTP floods send high volumes of HTTP GET or POST requests to a web server. Unlike volumetric attacks, HTTP floods use complete, valid HTTP connections. Each request consumes server-side resources: CPU for processing, memory for connection state, database queries for dynamic pages, and disk I/O for logging. Botnets of compromised servers (rather than IoT devices) are particularly effective at generating HTTP floods because they have the bandwidth and processing power to complete full TLS handshakes at scale.
Free Tools
Explore our free DDoS tools: Attack Simulator to model realistic attacks against your infrastructure, PPS Calculator to understand attack volumes, and Live Attack Map to visualize the global threat landscape in real time.
How fast should DDoS detection be?
Detection speed determines how quickly mitigation can begin. Every second of delay is a second of unmitigated attack traffic hitting your infrastructure. Here is how different detection approaches compare.
| Detection method | Typical speed | How it works | Trade-offs |
|---|---|---|---|
| Agent-based (Flowtriq) | Under 1 second | Software agent on each server analyzes every packet in real time | Requires agent installation; per-server granularity |
| Cloud proxy (Cloudflare, AWS) | 1-10 seconds | Traffic passes through proxy; analyzed at the edge | Only sees traffic routed through it; DNS change required |
| Inline appliance (Corero) | Under 1 second | Hardware inspects every packet at wire speed | Expensive ($50K+); adds to traffic path |
| Flow-based (NetFlow/sFlow) | 15-60 seconds | Routers export sampled flow data to a collector for analysis | Sampling loses detail; delay from export intervals |
| Diversion-based (Arbor TMS) | 30-120 seconds | Detection triggers BGP diversion to scrubbing center | BGP propagation adds delay; re-injection complexity |
| Manual (NOC team) | 5-30 minutes | Human operators notice alerts or customer complaints | Unacceptable for production; too slow for modern attacks |
For context, a 1 Gbps SYN flood can exhaust a server's connection table in 3 to 5 seconds. A 5 Gbps UDP flood can saturate a standard network link in under 1 second. Any detection method slower than the attack's time-to-impact leaves a window where the attack causes damage before mitigation begins.
The industry benchmark for DDoS detection is moving from "minutes" to "seconds." Agent-based detection under 1 second, combined with automated mitigation, is now the standard for organizations that cannot tolerate any downtime during an attack.
What features should DDoS protection include?
When evaluating DDoS protection solutions, use this checklist of capabilities. Not every organization needs every feature, but missing a critical capability can leave significant gaps in your defense.
Detection capabilities
- Sub-second attack detection (under 2 seconds from first malicious packet to alert)
- Dynamic baseline learning (adapts to your normal traffic patterns, not static thresholds)
- Attack classification by family (volumetric, protocol, application-layer, amplification)
- Per-node and per-port granularity (detects attacks targeting specific services)
- Layer 7 detection (HTTP floods, credential stuffing, API abuse)
- Multi-protocol coverage (TCP, UDP, ICMP, GRE, DNS, HTTP/S)
Mitigation capabilities
- Automatic mitigation deployment (no human intervention required)
- Multiple mitigation methods: BGP FlowSpec, RTBH, cloud scrubbing, host firewall rules
- Escalation chain (start with surgical filtering, escalate to broader measures if needed)
- Automatic de-escalation when attacks subside
- Configurable mitigation policies per node, per IP, or per service
Alerting and integration
- Multi-channel alerts: Slack, Discord, PagerDuty, OpsGenie, email, SMS, webhooks
- Alert within seconds of detection (not minutes)
- Configurable severity levels and escalation paths
- API access for custom integrations and automation
Forensics and reporting
- Automatic PCAP capture during attacks (packet-level evidence)
- AI-powered PCAP analysis for rapid forensic review
- Per-second traffic graphs (PPS, BPS, protocol breakdown)
- Historical attack database with full incident timelines
- Exportable reports for compliance and stakeholder communication
Operational
- Agent installation in under 5 minutes
- No DNS changes or BGP configuration required to start detecting
- White-label option for MSPs and hosting providers
- Automated runbooks for repeatable response procedures
- Free trial with full feature access (no credit card required)
How do you choose a DDoS protection provider?
Selecting the right DDoS protection depends on your infrastructure type, budget, traffic profile, and risk tolerance. Here is a decision framework.
Step 1: Identify your infrastructure type
- Web applications behind a CDN: Cloudflare (free to enterprise) provides the best coverage for HTTP/HTTPS traffic. Add agent-based detection for server-side visibility.
- Cloud-hosted on a single provider (AWS, Azure, GCP): Start with the native DDoS protection (Shield, Azure DDoS, Cloud Armor). Add agent-based detection for per-server granularity.
- Bare metal or colocation: Agent-based detection + BGP-based mitigation (FlowSpec/RTBH). No cloud proxy required.
- Game servers: Hosting provider with game-specific DDoS protection (OVH Game, Path.net) + agent-based detection for per-port monitoring.
- Multi-cloud or hybrid: Agent-based detection works across any infrastructure. Cloud-specific services only protect their own resources.
Step 2: Determine your budget
- Under $30/month: Cloudflare Free/Pro + Flowtriq ($9.99/node). Covers HTTP protection and server-side detection.
- $100-$500/month: Cloudflare Business + Flowtriq on multiple nodes. Comprehensive web protection with per-server visibility.
- $1,000-$5,000/month: Cloud-native protection (AWS Shield Advanced, Azure DDoS) or Flowtriq Respond managed tier.
- $5,000+/month: Akamai Prolexic, Arbor Sightline/TMS, or Flowtriq Dedicated managed protection with dedicated analyst.
Step 3: Evaluate detection speed and mitigation options
Ask every vendor these questions:
- What is your detection time from first malicious packet to alert?
- What mitigation actions can be deployed automatically?
- Do you capture PCAP data during attacks for forensic review?
- What protocols do you cover beyond HTTP/HTTPS?
- Can I see per-second traffic data for each server?
- What happens when an attack exceeds your mitigation capacity?
Step 4: Test before you commit
Any DDoS protection vendor that does not offer a free trial is asking you to buy on faith. Testing in your actual environment with your actual traffic patterns is the only way to evaluate detection accuracy, false positive rates, and operational fit. Flowtriq offers a 14-day free trial with full feature access and no credit card required.
Free Tool
Use our IP Threat Intelligence Lookup to check any IP against DDoS attack history, abuse feeds, and ASN reputation data.
What is the total cost of a DDoS attack?
The cost of a DDoS attack extends well beyond the minutes or hours of downtime. Here are the cost categories organizations face.
Direct costs
- Revenue loss: For e-commerce, SaaS, and online services, downtime directly translates to lost transactions. The average cost of IT downtime is estimated at $5,600 per minute (Gartner). For a 2-hour DDoS attack, that is $672,000 in lost revenue for a mid-size online business.
- Bandwidth overage charges: Some hosting providers charge for attack traffic that passes through their network before mitigation activates. A 10 Gbps attack lasting one hour generates 4.5 TB of traffic.
- Incident response labor: Engineering time spent diagnosing, mitigating, and recovering from the attack. At a loaded cost of $150/hour for a senior engineer, a 4-person incident response team working 8 hours costs $4,800 in labor alone.
- Infrastructure scaling: Emergency scaling of cloud resources to absorb attack traffic can generate thousands of dollars in unexpected compute and bandwidth costs.
Indirect costs
- Customer churn: Customers who experience downtime may switch to competitors. Studies estimate 22% of customers will not return after a significant service disruption.
- SLA penalties: Contractual service level agreements often include financial penalties for downtime. Enterprise SLAs may specify credits of 10-30% of monthly fees per hour of downtime.
- Reputational damage: Negative press coverage and social media complaints during and after an attack erode brand trust. The reputational cost is difficult to quantify but often exceeds the direct financial impact.
- Regulatory penalties: Organizations subject to PCI-DSS, DORA, or SOX may face fines or audit findings if a DDoS attack reveals inadequate security controls.
Industry benchmarks
| Metric | Average | Source |
|---|---|---|
| Cost per hour of downtime | $20,000 - $100,000+ | Ponemon Institute, 2024 |
| Average total cost per DDoS incident | $218,000 | Ponemon Institute, 2024 |
| Average DDoS attack duration | 68 minutes | Cloudflare Radar, 2025 |
| Organizations attacked more than once | 73% | Neustar, 2024 |
The math is straightforward: even a single DDoS incident typically costs more than a full year of DDoS protection from any vendor on this page. Protection is not an expense to justify; it is a cost to compare against the near-certainty of attack.
Free Tool
Use our DDoS Downtime Cost Calculator to estimate your specific revenue loss, labor costs, and annual DDoS risk exposure based on your infrastructure profile.
What compliance frameworks require DDoS protection?
Several major regulatory and compliance frameworks either explicitly require or strongly imply the need for DDoS protection as part of a broader security posture.
| Framework | Relevant requirement | What it means for DDoS |
|---|---|---|
| PCI-DSS 4.0 | Req 6.4, Req 11.4 | Requires protection of public-facing web applications and intrusion detection/prevention systems. DDoS protection is an expected control for any payment-processing infrastructure. |
| EU DORA | Articles 6-9 | Requires financial entities to implement ICT risk management including availability protection. DDoS resilience is explicitly within scope for banks, insurers, and financial market infrastructure. |
| SOX (Sarbanes-Oxley) | Section 302, Section 404 | Mandates controls ensuring the availability and integrity of financial reporting systems. A DDoS attack that disrupts financial systems is a SOX compliance issue. |
| NIST 800-53 | SC-5 | SC-5 (Denial of Service Protection) explicitly requires organizations to protect against or limit the effects of denial-of-service attacks. This control applies to all federal information systems. |
| ISO 27001 | Annex A (A.12, A.13) | Availability is one of the three pillars of information security (CIA triad). DDoS protection supports the availability objective. Annex A controls for operations security and communications security are relevant. |
| HIPAA | Security Rule, 45 CFR 164.308 | Requires safeguards to ensure the availability of electronic protected health information (ePHI). A DDoS attack that makes patient portals or health records unavailable is a HIPAA violation. |
| NIS2 Directive (EU) | Articles 21-23 | Requires essential and important entities to implement cybersecurity risk management measures including incident handling and business continuity. DDoS resilience is within scope. |
For audit purposes, DDoS protection evidence typically includes: detection tool deployment records, mitigation policy documentation, incident response procedures, historical attack logs with timestamps, and PCAP forensic data. Flowtriq provides all of these through its dashboard and exportable reports.
What is the difference between on-premise and cloud DDoS protection?
On-premise and cloud DDoS protection serve different roles. Understanding their strengths and limitations helps you build a layered defense.
| Dimension | On-premise (hardware appliance) | Cloud (scrubbing / proxy) |
|---|---|---|
| Capital cost | $50,000 - $500,000+ per appliance | $0 - $10,000/month (operational expense) |
| Scrubbing capacity | Limited by hardware (5-960 Gbps per unit) | Virtually unlimited (20-300+ Tbps shared network) |
| Latency impact | Sub-millisecond (inline at your edge) | 1-10ms added (traffic routed through remote scrubbing center) |
| Data sovereignty | Traffic stays within your network | Traffic passes through third-party infrastructure |
| Detection speed | Sub-second (inline) to 30-60s (diversion-based) | Seconds (cloud proxy) to minutes (on-demand diversion) |
| Non-HTTP protocol support | All protocols at wire speed | Varies by vendor and tier |
| Operational complexity | High (dedicated staff, firmware updates, TCAM management) | Low to moderate (vendor manages infrastructure) |
| Best for | ISPs, data centers, financial institutions, latency-sensitive workloads | Web applications, SaaS, cloud-native workloads, organizations without network engineering staff |
The best approach for most organizations is a hybrid architecture. Use cloud-based protection to absorb large volumetric attacks (where unlimited scrubbing capacity matters) and agent-based detection on each server for per-second visibility, attack classification, and PCAP forensics that cloud services cannot provide. For organizations with on-premise infrastructure, adding a hardware appliance provides deterministic inline protection for latency-sensitive services.
What are the best DDoS protection tools in 2026?
The DDoS protection market spans cloud services, hardware appliances, detection platforms, and managed services. Here is a brief overview of the leading options in each category with their key differentiators.
Cloud DDoS protection
- Cloudflare: Best for web traffic protection. Free tier covers HTTP/HTTPS with unmetered DDoS mitigation. 100+ Tbps network. Requires DNS change. Non-HTTP protocols require Enterprise tier.
- AWS Shield Advanced: Best for AWS-native workloads. $3,000/month. Deep integration with CloudFront, ALB, Route 53. Includes DRT access and cost protection.
- Azure DDoS Protection: Best for Azure workloads. ~$2,944/month covering up to 100 IPs. Adaptive tuning and cost guarantees.
- Google Cloud Armor: Best for GCP workloads. Starting at $5/policy/month. ML-based adaptive protection on Plus tier.
- Akamai Prolexic: Best for enterprise, any infrastructure. 20+ Tbps dedicated scrubbing. Protocol-agnostic. 24/7 SOC. $5,000-$10,000+/month.
Detection and response platforms
- Flowtriq: Agent-based detection with under 1 second detection time. $9.99/node/month. Automatic mitigation via BGP FlowSpec, RTBH, cloud scrubbing, and host firewall rules. PCAP forensics with AI analysis. 7 attack family classification. Alerts via Slack, Discord, PagerDuty, OpsGenie, email, SMS, webhooks. 14-day free trial, no credit card. White-label available ($200 deposit).
- Arbor Sightline: Flow-based detection for ISPs and large enterprises. $50,000+ licensing. Pairs with Arbor TMS for mitigation. Industry standard for carrier-grade networks.
- Kentik: SaaS-based network observability with DDoS detection. Flow analysis with BGP-triggered mitigation. Best for organizations wanting combined traffic analytics and DDoS detection.
Hardware appliances
- Arbor TMS (Netscout): Carrier-grade scrubbing, up to 400+ Gbps per unit. Out-of-path deployment. Six-figure starting cost.
- Radware DefensePro: Best behavioral detection in an appliance. Up to 800 Gbps. Inline deployment with SSL inspection.
- Corero SmartWall: Sub-second inline mitigation with under 60 microsecond latency. Up to 100 Gbps per unit. Purpose-built for always-on protection.
- A10 Thunder TPS: Best price-to-performance ratio. Up to 300+ Gbps. 20-40% lower cost than Arbor or Radware.
Start protecting your infrastructure today
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