My anomaly
Available after successful Run checker.
Runs anomaly analysis for the collected fingerprint.
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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.
Use Cases
Fraudnode converts browser and network evidence into compact risk classes that can enter an existing onboarding, authentication, promotion or transaction policy without replacing the client's business logic.
T0
Fast inline decision
T1
Optional extended evidence
Client policy
Final business action

Reduce chargebacks without adding friction to every customer.
Screen registration, checkout, coupon redemption and account changes before trusting identity or payment details. Clean sessions stay fast; proxy cascades, automation and incompatible device claims can be challenged earlier.
Signal mix
T0 · Fast path
Use the fast decision during registration and checkout while the order is still inside the authorization flow.
T1 · Escalation
Escalate expensive baskets, repeated cards, coupon clusters or gray-zone sessions for extended evidence.
Chargeback exposure
$36,000 / month
100,000 orders × 1.5% disputed × $80 average loss × 30% prevented
Illustrative scenario. Replace order volume, dispute rate and loss with your own baseline.

Reserve analyst time for transactions that actually need investigation.
Add session integrity to card payments, transfers, wallet top-ups and withdrawals. Fraudnode provides evidence before the payment engine combines it with amount, account history and merchant policy.
Signal mix
T0 · Fast path
Route clearly clean and clearly risky traffic immediately using class score and your transaction thresholds.
T1 · Escalation
Request longer collection for high-value transfers or transactions otherwise headed to manual review.
Manual-review operations
$20,000 / month
20,000 reviews × $4 analyst cost × 25% safely removed from the queue
This models operational capacity, not prevented fraud losses.

Detect a compromised session before irreversible assets leave.
Screen login, API-key creation, wallet binding and withdrawal sessions for abrupt stack changes, proxies and incompatible claimed profiles. The exchange keeps custody and transaction policy; Fraudnode adds session evidence.
Signal mix
T0 · Fast path
Score login and sensitive settings changes inline without delaying every verified customer.
T1 · Escalation
Escalate new withdrawal destinations, high-value transfers or changed device profiles before release.
Prevented takeover exposure
$100,000 / quarter
4 prevented withdrawals × $25,000 average incident exposure
Illustrative avoided-loss scenario; custody model and incident severity vary substantially.

Find account farms behind apparently independent sellers and buyers.
Identify automated listing, stock reservation, coupon cycling, referral rings and unauthorized reseller access through repeated or contradictory browser and network infrastructure.
Signal mix
T0 · Fast path
Attach a compact risk decision to listing, purchase, reservation and reward events.
T1 · Escalation
Escalate clustered sellers, scarce inventory or repeated promotion claims for stronger linkage context.
Promotion and inventory leakage
$45,000 / quarter
$300,000 abuse baseline × 15% reduction in confirmed leakage
This scenario measures recovered margin rather than transaction loss.

Prioritize identity checks when the session itself is contradictory.
Use browser and network integrity before remote applications, benefit claims, procurement access or contractor portals invoke expensive identity and case-management processes.
Signal mix
T0 · Fast path
Triage routine remote submissions without forcing every citizen through the highest-friction path.
T1 · Escalation
Escalate sensitive claims, changed session profiles or risky infrastructure for extended verification.
Avoided investigation workload
800 analyst hours
4,000 escalated cases × 1 hour each × 20% fewer false escalations
Expressed as capacity returned to case teams rather than currency.

Verify the remote session before opening a private perimeter.
Screen employees, suppliers, administrators and outsourced teams before VPN, SSO, control-panel or confidential data access. Fraudnode complements identity and zero-trust policy with network-stack evidence.
Signal mix
T0 · Fast path
Evaluate each remote access attempt before granting ordinary application permissions.
T1 · Escalation
Escalate privileged roles, new infrastructure and high-impact actions for extended session evidence.
Reduced access-incident downtime
$36,000 / year
120 incident hours × $1,500 hourly impact × 20% reduction
A downtime model for a mid-sized private environment, not a universal benchmark.
Observe
TCP, TLS, HTTP, JS and enrichment describe the session before identity is trusted.
Classify
Penguin produces bot, VPN, proxy and unusual scores with evidence and confidence.
Act
Your policy combines Fraudnode output with account, behavior and transaction context.
Evaluate Your Flow
Start with a demo for payload exploration or use a trial to measure policy behavior on representative traffic.