Anti-Fraud Layer

Product-level architecture, use case mapping, and future-ready integration placeholders.

Checker Actions

My anomaly

Available after successful Run checker.

Runs anomaly analysis for the collected fingerprint.

Session is not initialized. Start from Checker with Run checker.

Trial Program

Validate Fraudnode against representative production traffic

Use a longer evaluation window to measure classification behavior, tune T0 and T1 policy thresholds, and prepare the persistence and isolation model for a production contour.

Designed for teams ready to test policy behavior, traffic distribution, escalation rates and operational fit before production deployment.

Compact decision payload

critical

Classification

dirty

proxy

90%

Class risk score

Operating system

Linux

Browser

Chrome

Device

Stationary

Final probability94.75%

Access window

30 days

Access expires when either the time or request limit is reached.

Request quota

10,000

Orca tracks usage, key status, remaining quota and expiry.

Runtime contour

Spider + Penguin + DB

Shared tenant-isolated access with full persistence for evaluation.

Decision Flow

Start fast, escalate only when policy requires it

T0 is the default request. T1 is not automatic: your application decides whether the score or business context justifies a longer second-stage collection.

01T0 · Fast path

Collect the current fingerprint

Spider captures TCP, TLS, HTTP and JavaScript signals. Orca adds GEO enrichment and prepares the canonical Penguin payload.

TCPTLSHTTPJSGEO
02Client policy

Evaluate the compact decision

Your policy examines class score, probability and risk class. Clean and clearly dirty traffic can be handled immediately.

scoreprobabilitythresholdrisk class
03T1 · Optional

Escalate gray-zone traffic

When more evidence is required, run a longer collection. T1 rebuilds T0 and adds enabled DNS, blacklist and UDP/QUIC context.

T0 rebuiltDNSblacklistUDP / QUIC
04Your decision

Apply the business action

Orca and Penguin return structured evidence. The final allow, challenge, recheck or block decision remains inside your product policy.

allowchallengerecheckblock

What You Receive

Structured evidence, not a black-box label

  • Compact classification, probability, class risk and recommended action.
  • Detected OS, browser and device type for policy and investigation workflows.
  • Per-signal parameters, inconsistencies and class-specific contributing reasons.
  • Optional T1 context linked to the original T0 request.

Trial Fit

Validate policy behavior on representative traffic

Measure class distribution, tune escalation thresholds and decide which production persistence profile fits your security and throughput requirements.

Important

Orca and Penguin provide classification and evidence. Your application remains responsible for the final business decision and user treatment.

Contact

Plan your trial contour and success criteria

Tell us about the protected flow, expected traffic and the decisions you want to automate.

Contact Fraudnode