Live Protection Demo

DDoS Protection That Stays
Calm Under Fire

Watch our multi-layered defense system detect, analyze, and mitigate an attack in real-time. Every packet visualized. Every metric tracked.

Protection State

NORMAL
01
Normal
Baseline traffic, all systems nominal
02
Detecting
Anomalous traffic spike detected, analyzing patterns
03
Mitigating
Firewall rules engaged, malicious traffic being dropped
04
Stable
Attack mitigated, traffic normalized, origin healthy
Requests/sec
1.2K
Blocked
8/s
Allowed
1.2K/s
Latency
12ms
Error Rate
0.1%
CPU
18%
Bandwidth
0.4Gbps
Total Blocked
0
Total Allowed
0
Legitimate Traffic
Malicious Traffic
Firewall Barrier
Defense Architecture

Layered Protection, Zero Compromise

Five defense layers work in concert. Each layer handles specific threat categories while the others provide redundancy.

Edge Protection

CDN + Anycast + Caching

Capabilities
  • +Anycast routing distributes traffic across global PoPs
  • +CDN caching absorbs volumetric surges at the edge
  • +GeoIP filtering and reputation-based blocking
Protects Against

Volumetric floods (UDP, ICMP, amplification)

Tradeoffs

Adds 1-5ms latency; static content only at edge

L3/L4 Mitigation

Network-layer scrubbing

Capabilities
  • +Protocol validation drops malformed packets
  • +SYN cookie protection against TCP floods
  • +Flowspec rules auto-propagate to upstream routers
Protects Against

SYN floods, UDP reflection, protocol abuse

Tradeoffs

Minimal latency impact; requires provider capacity

L7 Application Firewall

WAF + Rate Limiting + Bot Management

Capabilities
  • +Managed WAF rules for OWASP Top 10
  • +Rate limiting per IP, endpoint, and API key
  • +JS challenges and behavioral bot scoring
Protects Against

HTTP floods, slowloris, credential stuffing, scraping

Tradeoffs

May add 5-20ms; requires tuning to avoid false positives

Origin Hardening

Autoscaling + Queues + Circuit Breakers

Capabilities
  • +Connection limits and request body size caps
  • +Timeout tuning (connect, read, idle)
  • +Autoscaling with queue-based back-pressure
Protects Against

Resource exhaustion, slow-read attacks, origin overload

Tradeoffs

May reject legitimate large uploads; requires capacity planning

Observability

Metrics + Logs + Anomaly Detection

Capabilities
  • +RPS, 4xx/5xx, p99 latency dashboards
  • +Anomaly detection on traffic baselines
  • +Distributed tracing through mitigation layers
Protects Against

Blind spots: detects unknown attack patterns early

Tradeoffs

Storage/compute cost; alert fatigue if thresholds are too sensitive

Threat Model

Know Your Adversary

Volumetric

Overwhelms bandwidth with high-volume traffic floods

Detection Signals
  • Sudden bandwidth spike
  • Packet rate anomaly
  • GeoIP distribution shift
Mitigations
Anycast absorptionCDN cachingUpstream blackholing

Protocol

Exploits protocol weaknesses to exhaust connection state

Detection Signals
  • SYN queue saturation
  • Fragmented packet ratio
  • Connection table growth
Mitigations
SYN cookiesProtocol validationConnection rate limits

Application

Targets application logic with seemingly legitimate requests

Detection Signals
  • Request rate per endpoint spike
  • Bot score distribution
  • Response time degradation
Mitigations
Rate limitingWAF rulesJS challengesBehavioral analysis