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API Abuse Detection

API Abuse Detection is a traffic abuse analysis and mitigation platform for infrastructure and DevOps teams that need better visibility into scraping, abusive automation, and unwanted traffic patterns.

Unlike traditional WAFs or reverse proxies, it operates passively behind your existing infrastructure by ingesting logs from sources such as Nginx, load balancers, CDNs, or Cloudflare. This means you can deploy it incrementally without placing it directly in the request path or introducing operational risk.


How it works

Your existing infrastructure (Nginx / load balancer / CDN / Cloudflare)

│ logs

[ Log Ingestion ] ──→ traffic pattern analysis


[ Abuse Detectors ] ──→ flagged IPs / ASNs


[ Enrichment ] ──→ ASN · org · country · abuse contact


[ Recommendations ] ──→ ban, throttle, or report


[ Ban Export ] ──→ WAF / firewall / CDN rules

The platform analyses incoming traffic and identifies which IPs, subnets, or ASNs are responsible for suspicious activity. It classifies behaviour, tracks ban reasons, and provides actionable recommendations rather than just exposing raw blocklists.


Key capabilities

Traffic analysis

Detectors continuously scan your log data for abuse patterns — credential stuffing, data harvesting, round-the-clock bots, and more. Each flagged IP is enriched with its ASN, organisation name, country, and abuse contact so you understand who is behind the traffic, not just which address to block.

Contextual recommendations

The platform tailors its recommended action to the type of traffic:

  • Residential networks — generates abuse-report templates and reporting instructions for the responsible ISP.
  • Hosting providers and cloud networks — recommends blocking or throttling the relevant ASN or subnet.

Impact simulation

Before committing to a ban, understand exactly what you'd be blocking. The traffic dashboard lets you overlay a generated report onto your RPS chart and filter all breakdown tables — by IP, path, ASN, and hostname — down to the flagged subset. This makes it immediately clear how flagged traffic relates to your overall volume, and how disruptive a block would actually be before you apply it.

Allowlists and trusted sources

Exclude addresses that should never be flagged or banned — internal networks, CI systems, search engine crawlers, social media bots, or any IP, subnet, ASN, or country you choose. The same allowlist mechanism covers both trusted-source exclusions and manual overrides of ban decisions.

Audit trail

Every ban is recorded with a reason and a timestamp. Full historical auditability means you can always explain why a given network was blocked.

Exportable blocking rules

Blocking recommendations are exported in a format your existing WAF, firewall, or CDN tooling can consume directly — no vendor lock-in.


Core features

FeatureDescription
Passive log ingestionReads existing logs — no inline proxy, no request-path risk
Batch and real-time ingestShip events individually or in batches; replay historical logs to backfill
Abuse detectionIdentifies scrapers, brute-force attempts, and persistent bots
Multi-service supportSeparate detectors and ban lists per hostname or service, matched by regex
IP / ASN enrichmentResolves any IP to ASN, prefix, country, org name, and abuse contact
Traffic dashboardInspect RPS, path counts, IP breakdowns, and report overlays before acting
Managed blocklistMaintains ban lists for IPs, subnets, and ASNs with full history
Allowlist managementExclude IPs, subnets, ASNs, or entire countries from detection and enforcement
Recommendation engineSuggests the right action based on traffic origin type
Automated bansOptionally auto-add flagged IPs to the ban list per detector — no manual step needed
Abuse report generationProduces ready-to-send reports for residential and ISP abuse
AlertsNotifies your team via Slack or email when a new report is generated
Team managementInvite team members with admin, billing, or viewer roles
WAF / CDN exportOutputs blocking rules in JSON or iptables format for your enforcement layer