DDoS Mitigation

DDoS Protection & Mitigation

Detect abnormal request behavior, absorb high-volume surge traffic, and preserve application availability through Peakhour Edge or an existing edge augmented with Peakhour intelligence.

Protect Against DDoS See Product Controls

DDoS mitigation diagram showing attack traffic absorbed by Peakhour edge controls while clean traffic reaches the application.

Keep Service Availability Under Layer 7 Pressure

Absorb Surge Pressure at the Edge

Defend against high-volume request surges at Peakhour Edge or through an existing edge path augmented with Peakhour controls.

Mitigate Layer 7 Flood Behaviour

Suppress HTTP flood patterns, Slowloris traffic, and route-level abuse before origin resources are consumed.

Sustain Operations with Evidence

Keep clean user traffic moving while logging mitigation outcomes for response, tuning, and post-incident review.

Availability Risk Arrives as Mixed Traffic, Not a Single Attack Signature

Service disruption events usually combine high-volume bursts, Layer 7 floods, and automated request noise. Teams need one mitigation path that separates abusive traffic from legitimate traffic before origin capacity is exhausted.

Distributed Floods Bypass Simple IP Thresholds

Modern attack traffic rotates networks, clients, and headers, so static per-IP limits alone often miss coordinated surge behaviour.

Origin Capacity Is Consumed Before Manual Response

If mitigation depends on human reaction during an incident, legitimate user sessions can degrade before controls are tightened.

Incident Review Fails Without Request-Level Proof

Without consistent mitigation evidence, teams cannot verify which traffic was blocked, challenged, or allowed during an event.

Layer 7 flood behaviour board showing abusive request volume mixed with legitimate traffic and mitigation controls at the edge.

DDoS mitigation control stack showing anomaly detection, rate limits, bot signals, WAAP controls, evidence capture, and clean traffic delivery.

One Mitigation Path from Detection to Clean Delivery

Peakhour combines anomaly detection, rate controls, bot signals, and WAAP policy in one decision flow so attack traffic is filtered while healthy requests continue to application routes.

Detect Abnormal Request Behaviour Early

Continuously analyse request patterns to identify flood behaviour before it escalates into customer-visible downtime.
Apply Layered Controls per Request Context

Use thresholds based on network, geography, headers, and behavioural attributes rather than relying only on source IP counting.
Deliver Clean Traffic with Operational Continuity

Block or challenge abusive request classes while preserving availability for trusted users and business-critical paths.
Keep Mitigation Evidence Ready for Review

Retain mitigation outcomes and trend telemetry so security and platform teams can tune controls after each incident window.

Operational Evidence

Operational Proof of Layer 7 Mitigation

The diagrams explain the mitigation path. Dashboard telemetry is the proof layer: it shows flood pressure, control decisions, and whether clean application traffic stayed available.

Mitigation actions: Confirm block and challenge decisions against live traffic.

Post-incident review: Use one evidence stream for response, tuning, and reporting.

DDoS mitigation analytics dashboard showing flood pressure, mitigation actions, and clean traffic continuity. — Operational evidence

Layer 7 floodsTrack GET and POST surge patterns

Clean trafficValidate protected delivery

Explore DDoS Protection Technology

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