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Sharon428931

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SafeLine WAF: How Internet Giants Block Millions of Attacks Daily

The Scale of “Top-Tier” Traffic

Picture a video platform ranked in the global top 100 — billions of monthly visits, 150+ million active users, and millions of video views every hour.

At peak times, this kind of platform can handle nearly 60 billion requests a day — and hidden inside that massive stream are up to 1 million web attacks daily.

For platforms at this scale, security isn’t just about blocking threats. They must protect user data, maintain uptime, and avoid even tiny delays that can drive users away.


Why Traditional WAFs Fall Short at Scale

Most legacy Web Application Firewalls (WAFs) aren’t built for internet giants. They tend to fail in three ways:

  1. Latency Costs Money

    Every millisecond counts. Higher latency means lower conversion rates — and for a site with billions of visits, the revenue impact is huge.

  2. False Positives, False Negatives

    High-traffic sites can’t afford either. A single false positive can block thousands of real users; a single false negative can let attackers in.

  3. Scaling Bottlenecks

    Many WAFs can’t scale horizontally. Under massive loads, they either drop requests or go down entirely, taking the business with them.


Why Big Players Choose SafeLine WAF

SafeLine was one of the first WAFs to bring semantic analysis into production.

It delivers:

  • < 5ms latency per request
  • False positive rate: under 0.87%
  • False negative rate: under 0.73%
  • Clustered deployment with 500+ detection nodes worldwide
  • Peak load per node: 200,000+ QPS

Since 2016, SafeLine has processed billions of requests daily, blocking millions of attacks for hundreds of enterprise clients.


Case Study 1: Global Top-100 Video Platform

  • Monthly traffic: 5B+
  • Daily peak requests: ~60B
  • Concurrent connections: 700k–900k
  • Daily attacks: Up to 800k

Deployment:

  • Embedded cluster, 200k QPS per node, only 35% CPU usage.

Results:

  • Integrated without major infra changes.
  • Scaled horizontally as business grew.
  • Average detection time: ~2ms.
  • Zero downtime.

Case Study 2: Global Mobile Device Manufacturer

  • Public-facing systems: website, app store, forums, search, user center.
  • Daily peak traffic: tens of billions of requests.
  • Millions of QPS sustained.

Deployment:

  • Embedded cluster, 150k QPS per node, 50% CPU usage.

Results:

  • Integrated without changing network topology.
  • Unlimited horizontal scaling.
  • Hundreds of thousands of attacks blocked daily.
  • Average processing time: ~1ms.
  • Strong 0-day protection.

The Tech Behind SafeLine’s Performance

  1. Fast Detection, Minimal Overhead

    Semantic analysis engine with low-complexity algorithms keeps latency under 5ms — even under heavy load.

  2. High Accuracy

    Detects attacks based on context and logic, outperforming regex-based detection for unknown threats.

  3. Seamless Deployment

    Reverse proxy clusters or embedded clusters with unlimited scaling. Active-active or master-slave configurations ensure uptime.

  4. Business Continuity First

    Embedded clusters sit inside the existing load balancer stack — no topology changes, no interruptions.


Industry Recognition

SafeLine has been recognized in Gartner’s Magic Quadrant for Web Application Firewalls and listed by IDC as a top WAF vendor in Asia.


Join the SafeLine Community

If you continue to experience issues, feel free to contact SafeLine support for further assistance.

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