IEEE Peer-Reviewed Science

Your fraud system is guessing.
Ours proves.

The Certainty Engine.

Fraud detection that proves every decision. Mathematically.
Built for fintech, iGaming, eCommerce, crypto, and trading.

Live Decision
Reasoning Score EVT-2847-A · Session Analysis
28ms
decisionBLOCK
pattern_matchaccount_takeover
sequence_probabilityp < 0.0003
high_velocitytrue · 14× normal
recipient_first_seen5h ago
new_devicetrue
audit_trailgenerated
regulator_readytrue
Mathematical Certainty99.97%
Mathematical proof · Not a probability score
Trusted in production across
FinTech Co.
iGaming Co.
Crypto Co.
Trading Co.
eCommerce Co.
Global Fraud Losses · 2025
$ 534Billion
$16,929 lost every second
Since you got here: $0 loss.

Most fraud systems are still guessing. We stopped guessing in 2020.

The game changed.
Most systems didn't.

Fraud is faster, more coordinated, and increasingly autonomous.
Most detection systems weren't built for this.

These are the vectors growing fastest. We handle all of them.

Account Takeover

Stop credential theft before the first login attempt.

Payment Fraud

Block stolen cards and synthetic identities instantly.

Bonus Abuse

Catch automated fraud rings, not just individuals.

AI Attacks

Defeat adaptive AI bots with proof-grade math.

Identity Fraud

Neutralize synthetic identities at the point of entry.

The industry threw everything at fraud. More AI. More GPUs. More signals. Bigger models.
But fraud is still up 64% and you're still losing money.

We fixed this. In 2020. With math.

The Technology

The Certainty Engine analyzes behavioral sequences in real time and returns a mathematical decision.
Not a probability score. Not a black-box output.

Fraud is not a moment.
It is a sequence.
The break is mathematically detectable.

One API call  ·  Sub-30ms  ·  Every decision proven
The science behind it →
Traditional SystemsThe Certainty Engine
Black-box scores with no explanation Full reasoning trace for every decision
Static models that degrade over time Continuous learning from live feedback
Generic rules for all industries Domain-specific fraud pattern detection
High false positives = customer friction <8% false positives, minimal friction

No commitment.
No sales call required.

Run it on your own traffic. Free.

1,000 events. Full proof output. Compare against your current provider in shadow mode.

Real-time fraud prevention with mathematical certainty, speed, and compliance.

0
Samples Trained
0
Patterns Detected
0
Uptime SLA
0
Events Analyzed

Not another fraud vendor.
A different category.

Every fraud vendor claims better detection. The difference is what they can actually show you. We show you the math behind every single decision. Something no rule-based system or black-box ML model can do.

CapabilityRule-Based
Systems
Generic
ML / AI
SignificanTrust
Decision basisStatic rulesProbability scoreMathematical proof
ExplainabilityNonePost-hoc AI explanationBuilt into every decision
False positive rate5–15%+5–15%<8% with full trace
Adapts to new fraudDays to weeks (manual)Automated retrainingCI-CD. Zero human in loop.
InfrastructureCPU-basedGPU-dependentCPU-native, edge-ready
Compliance audit trailManual notesCase managementAuto-generated per decision
Research basisProprietary rulesProprietary MLIEEE-published, peer-reviewed
Response time100–500ms100–500ms<30ms

One mathematician.
One question.
One breakthrough.

IEEE-backed research, hardened for live traffic and board-level scrutiny.

The industry bet on deep learning. More data. Bigger models. GPU farms. Black-box decisions nobody could explain.

Our founder asked a different question: what is the mathematical signature of a human behaving like themselves, and what happens when it breaks?

The research was peer-reviewed by IEEE Access. It surpassed SA-HMM, the global benchmark, with a fraction of the computational cost.

The industry is still catching up to 2020.

You can fake an ID.
You can fake a document.
You can fake a face.
You cannot fake a rhythm.

94.1%
Dethroned the gold standard
Peer-reviewed. IEEE Access 2020.
10⁹×
Fewer operations than deep learning
Lighter than CNN-based detection by a billion operations.
<30ms
Runs on CPU
No GPU. No cloud infrastructure dependency.
5+
Years live in production
Real clients. Real fraud. Real proof.
Peer-reviewed · IEEE Access · 2020
"Model for Detection of Masquerade Attacks Based on Variable-Length Sequences"
DOI: 10.1109/ACCESS.2020.3039166 ↗

Proven across industries.

FinTech
iGaming
Crypto
Trading
eCommerce
SaaS
See how we protect your sector →

Find out what fraud is
actually costing you.

Most teams underestimate fraud loss by 4×. See the real number in 30 seconds.

No signup required. Your data stays in your browser.

See it work
on your own traffic.

Integrate in under 60 minutes. Run the Certainty Engine in shadow mode alongside your current provider. Let the math speak for itself.

Enter your work email and we provision your API key on the spot. No redirect. No second form. Your key arrives in your inbox within minutes.

Work email only · No credit card · No auto-billing · Key arrives in minutes

1,000
Free events
1–2 days
To first result
Zero
Commitment required
  • No credit card required
  • Production-grade API access
  • Mathematical proof on every decision

Who do you wantin your corner?

The industry standard

  • Opaque black-box scores
  • 200ms+ latency
  • Heuristic guesswork
  • Business-hours support

SignificanTrust

  • Proof-Grade Math
  • Sub-30ms Latency
  • Zero Guesswork
  • 24/7 Mathematical Support

RUN THE NUMBERS.NO RISK.

1,000 free events. Same API, same proof, same output as production.
No credit card. No commitment. Live in under an hour.

  • No credit card required
  • Production-grade API access
  • Mathematical proof on every decision