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Anti-Fraud Platform

Stop fraud without blocking legitimate customers.

An anti-fraud engine with no-code rules, behavioral analytics, device intelligence, and transactional patterns. Blocks in real time and delivers each decision with rule, score, and auditable evidence.

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FPP Dashboard
Active alerts
12% 3
Transactions/hour
0,5% 12.4K
Analysis time
8% 0.2s
Response rate
0,1% 99.9%
Measurable results

Every active rule, a proven outcome.

Detection is not enough. Each production rule must prove its value, and the catalog must stay healthy continuously — no endless queries, no BI team explaining what already happened.

ROI per rule
01

Risk visible, loss avoided

Every rule shows how much loss it prevented, with legitimate customers flowing through untouched.

ROI per rule
02

Blocks with measured return

Exposure, blocks and review desk handovers — fully traceable, rule by rule.

ROI per rule
03

More automation, less desk

Most decisions are made without human touch. The desk handles only what truly matters.

ROI per rule
04

Fraud team in control

Rules configured, tested and activated by the fraud prevention team itself. No deploy, no waiting on IT.

Catalog quality
05

Native catalog

Anti-fraud library ready for go-live, no engineering dependency.

Catalog quality
06

Good customers stay flowing

Per-rule precision: legitimate customers never stop in the flow by mistake.

Catalog quality
07

Audited performance

Every decision feeds rule measurement. You see what works in real time.

Catalog quality
08

Drift anticipated

Decalibrated rules are flagged before they turn into losses.

01 / 08
Anti-fraud in real time

Speed that changes the game.

Anti-fraud evaluation in sub-300 ms, with rules configured by the fraud prevention team and every decision delivered with rule, score, and evidence.

Device, behavior, patterns

Combine device fingerprint, behavioral signals, and transactional patterns into a single decision.

Any operation

PIX, TED, cards, FX, and account events in a single pass.

Speed is the differentiator

Anti-fraud decision in sub-300 ms, with no cascade between systems.

Decision engine

Rules configured by the Fraud Prevention team. No dependency on engineering.

Build workflows, scores, thresholds, and triggers without writing code.

Multi-stage workflows

Evaluation layers in sequence.

Customizable scores

Variables and weights owned by the fraud prevention team.

Time windows

Accumulate context ("5 PIX transfers in 2 hours").

Automatic triggers

Automated blocks, notifications, and cases.

Contractual SLA

P95 in 300 ms per transaction. Your customer never notices the evaluation happened.

Decision flow

From transaction to decision. Anti-fraud flow in real time.

Every transaction goes through parallel block and scoring stages focused on device, customer, and transactional patterns. Everything converges into a score calibrated by anti-fraud policy and produces an auditable decision in sub-300 ms.

Backtest + Governance

No rule goes live in the dark.

Test against 1 million real transactions before activation. Three-step approval. Full audit trail.

The backtest answers:

How many transactions would be impacted
How many more or fewer alerts
Current vs. proposed policy, side by side

Approval flow:

1 Analyst drafts the rule
2 Supervisor validates with the backtest
3 Administrator activates in production

Audit trail: who edited, reviewed, and approved, all recorded.

Detection and monitoring

Know your customer. Catch anomalies before they become losses.

Per-customer behavioral profiling, device intelligence, and continuous transactional monitoring, aligned with Bacen Resolution 4,557/2017 (Brazil) / BCRA risk-management framework (Argentina).

Individual behavior

FPP learns each customer's usual amounts, frequency, timing, and counterparties, and automatically detects any deviation.

Learns the pattern
Quantifies the deviation
Generates smart alerts

Device intelligence

Device fingerprint, manipulation detection, and network signals that identify the attacker before the transaction.

Persistent device fingerprint
Jailbreak, root, emulator detection
VPN, Tor, inconsistent geolocation

Continuous monitoring

Real-time cross-checking, context accumulation, and composite alerts.

Real-time evaluation against rules and baselines
Context accumulation (e.g., total amount in 24h)
Alerts that correlate multiple transactions

Want to see all this in action?

Schedule a demo and see the anti-fraud engine, the backtest, and the behavioral analytics with real-world scenarios.

  • Demo tailored to your sector
  • No commitment, completely free
  • Reply within 24 business hours
contato@guardline.com.br
+55 (11) 98813-2241