SENTR · AI-powered fraud operations

Replace your fraud stack with certainty.

Fight evolving fraud with controls built around your business. SENTR brings configurable rules, machine learning, AI explanations and connected investigations into one platform. Keep what works. Put the rest to the test.

  • ✓50 days read-only — no production commitment
  • ✓Your existing stack keeps running throughout
  • ✓Walk away with the evidence — or move to SENTR

Industry benchmarks — prove them on your traffic

The outcomes operators switch for.

FRAUD DETECTION

€200k – €4M

hidden fraud uncovered

FALSE POSITIVES

20–40%

fewer good customers blocked

CHARGEBACKS

10–25%

reduction in chargebacks

FALSE NEGATIVES

12–24%

missed fraud uncovered

OPERATIONS

40–70%

manual review work reduced

Industry benchmarks and modelled ranges — not SENTR customer results. Qualified Shadow Mode proves the difference on your events in 50 days, beside your incumbent.

One AI-powered platform. Two ways to run it.

SENTR.Citadel and SENTR.Tower share event scoring, customer-specific machine learning, AI explanations and investigations. Choose who configures the operation—not whether you get the intelligence.

SENTR.Citadel

Full operator control

  • Rules and machine learning, with backtesting and Monitor
  • Scoring profiles and decision/action policies you control
  • AI explanations, connected investigations and custom reports
  • Optional free 50-day Shadow Mode when qualified
  • Published decision-event rates and platform fees

Explore SENTR.Citadel →

SENTR.Tower · early access

Guided ownership

  • Industry presets and customer-specific machine learning
  • AI explanations, alerts and guided review
  • Cases, reasoned overrides and standard reports
  • Free 14-day guided start for the initial cohort
  • Production price disclosed before guided work

Explore SENTR.Tower →

Same scoring and AI explanations. SENTR.Tower guides the setup. SENTR.Citadel opens the full workbench.

Three things your fraud report doesn't show you.

The alert queue that runs your team

1,500 alerts a day. 70% false positives. The analysts who are best at this burn out the fastest — because they actually care and the system makes them feel like they're failing.

Head of Fraud, EU PSP

Four tools. A ticket board. No closed loop.

Every time a fraud case went to chargeback, someone was copy-pasting data from three different screens. 30% of my week being the human API between them.

Head of Risk Ops

Your AI fraud model can't explain itself to a regulator

We tried to explain our AI fraud model's logic to the regulator. Our vendor said 'the model is proprietary.' The regulator did not find that acceptable. Six months of remediation followed.

Compliance Director, regulated fintech

A score starts the job. SENTR closes the loop.

Most stacks stop when a score fires. SENTR connects mapped events through decide, explain, investigate and improve — so validated outcomes sharpen the next decision.

CLOSED-LOOP RISK INTELLIGENCE

Slide to explore all six stages

01

Ingest

Map compatible events from supported sources — registration, payment, payout, bonus and more — without requiring a wholesale stack rip-out.

02

Detect

Score events against rules and anomaly signals — including linked history — not only the ones that trip a single rule.

03

Decide

Apply your policies: allow, review or block — with thresholds and actions you own per event type.

04

Explain

Store attribution at decision time and render relevant findings in plain English — evidence for operators and governance, with clear context for review and audit requests.

05

Investigate

Open linked entities, cases and decision context in one place — then record the human outcome.

06

Improve

Feed validated outcomes back into lists, rules and models so the next similar event is better informed.

Illustrative chargebacks 2.5%
Illustrative exposure €250K

Intelligence compounds with every cycle

  1. 01

    Ingest

    Map compatible events from supported sources without requiring a wholesale stack rip-out.

  2. 02

    Detect

    Score events against rules and anomaly signals — including linked history.

  3. 03

    Decide

    Apply your policies: allow, review or block — thresholds and actions you own.

  4. 04

    Explain

    Store event attribution and explain relevant findings for reviewers.

  5. 05

    Investigate

    Open linked entities, cases and decision context — then record the human outcome.

  6. 06

    Improve

    Feed validated outcomes back so the next similar event is better informed.

Continuous loop — every outcome sharpens the next decision.

Outcomes feed Ingest and Detect. The loop closes. Shadow Mode runs that comparison beside your stack — so the decision is evidence, not a pitch.

Every decision. Ready to explain.

Keep decision attribution and reviewer overrides together. Readable explanations surface relevant findings; exports support investigations and governance without rebuilding the evidence from separate logs.

Per-decision rationale
Built for deployer assessment & audit request

Read the EU AI Act notes →

Prove it beside your stack — then decide.

Architecture Session · Mon–Fri · 09:00–17:00 Brussels time · 60 minutes · one-page memo within two business days

Not sure SENTR.Citadel or SENTR.Tower? Compare features & controls → If it is not a fit, we say so on the call.

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