Alert fatigue
The same customers, every month
Rules fire on thresholds, not behaviour. A customer paid on the 25th trips the same scenario every month, and someone has to clear it again with a fresh note.
LiveThreat squad
Aiden Flux — Senior AI Fraud Risk Analyst
AI fraud detection that explains every flag
Aiden Flux — Senior AI Fraud Risk AnalystAiden Flux is an AI agent that scores every transaction and monitoring alert against velocity, device, location and the customer's own baseline. Clear false positives can close with a recorded reason, only where you allow it. Everything else reaches your analyst with the evidence already gathered.
Aiden Flux
Alert #48213 scored
IllustrativeSent to analyst
Risk score 0.81 · high
Flag explained
“Velocity 6x baseline, new device, location mismatch.”
Job description
What Aiden Flux does Job description
Aiden Flux is a Senior AI Fraud Risk Analyst. He sits beside your transaction pipeline and your monitoring system, scores what comes through and prepares the case for your analyst.
AI AGENT · THREAT SQUADLive
AIDEN FLUX
Senior AI Fraud Risk Analyst
REPORTS TO
Your Head of Fraud or MLRO
WORKS WITH
Your core banking, payment, card and case management systems
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Score every transaction and monitoring alert against velocity, device, location and the customer's own baseline
02Explain every flag in plain English, with the signals that drove the score
03Close clear false positives with a recorded reason, only in the risk bands you allow
04Send everything else to an analyst with the evidence attached
05Learn from analyst decisions, with every retrained model approved by a person before release
AUTONOMY MODEL
LOWMEDIUMHIGH
Low risk
Can close on its own, if you allow it
Medium risk
Goes to an analyst by default
High risk
Always goes to an analyst
You set the threshold per rule.
Kill switch: Turn Aiden off at any time
Options
How the options compare
| CRITERIA | Add analysts | Rules-only engine | Aiden Flux |
|---|---|---|---|
| Time to first results | A hiring and training cycle | Scenario build and tuning | Shadow mode on your live data |
| Who decides | Analyst | Rule threshold, then analyst | Analyst, inside autonomy bands you set |
| Why a flag fired | Analyst notes, varies by person | Rule ID and threshold | Plain-English reason with the signals behind it |
| Learns from outcomes | Through training and experience | Only when someone retunes the rules | From analyst decisions, with human approval before release |
| Cover outside office hours | Needs shifts | Yes | Yes |
| Where it's weaker | Cost grows with alert volume | Static thresholds drift away from real behaviour | Needs past decisions and a shadow period before you trust the bands |
Works best with
AI agents that work best with Aiden Flux
Aiden's score gets sharper when other agents add what he can't see on his own.
TRUST AND IDENTITY
Rhea Ledger
Senior AI KYC/AML Compliance Director
Adds customer risk rating, screening status and typology fit to the alerts Aiden scores.
Meet RheaTRUST AND IDENTITY
Nova Sentinel
Lead AI Zero Trust Security Architect
Settles session and device trust before the payment is scored.
Meet NovaTHREAT
Oscar Gray
Senior AI OSINT Intelligence Director
Attaches breach data and adverse media when an alert needs outside evidence.
Meet Oscar
Thoughts that matter
Insights on AI agents, financial crime and compliance
What we're learning about AML, fraud and the evidence examiners ask for.
Best AML Software in 2026: An Honest Comparison for Banks and Fintechs
Read More
goAML Registration and STR Filing in the UAE: A Step-by-Step Guide for Reporting Entities
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Transaction Monitoring Software: UAE Acceptance Checklist
Read More
PEP and Sanctions Screening: What the MLRO Owns
Read More
Session Risk Scoring: Continuous Authentication for Banks
Read More
Impossible Travel Detection in Banking: How It Works
Read More
Questions? We Have Answers
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Frequently Asked Questions
Still have questions?
Talk to the people who build the agents. We'll answer per capability, yes or no.
An AI fraud agent scores each transaction or monitoring alert against signals such as velocity, device, location and the customer's own behaviour baseline, then combines that score with deterministic rules. Aiden Flux attaches a plain-English reason to every score and routes the case by the autonomy bands your team sets. Your analyst makes the call on anything that isn't clearly low risk.
Your analyst does. Aiden can close clear false positives on his own only in the risk bands you allow, and each closure carries a recorded reason. Medium risk goes to a person by default and high risk always does. A kill switch turns Aiden off without touching your other systems.
We don't quote accuracy figures from our own test data. A false positive reduction claim means little without the base rate, the scenario set and the name of whoever reviewed the closures. Aiden runs in shadow mode on your data, and you measure agreement and missed fraud yourself.
Aiden scores your live transactions and opens cases, but nothing is blocked or closed. Your analysts keep working as they do today, and you compare Aiden's calls with theirs. You decide whether, and where, to switch on any autonomy afterwards.
A transaction or alert feed with amount, channel, counterparty, timestamps and customer identifiers. Device, IP address and location data improve the score. Past analyst decisions help Aiden learn what your team treats as a false positive.
No. Aiden sits beside your current system, reads its alerts and your transaction feed, and prepares cases. You can keep your scenarios and add Aiden's scoring on top.
FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.