The password was right
Reused passwords from old breaches let attackers log in as the customer. A login that passes every check can still be the wrong person.



28 specialized agentsAll systems operational
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Aiden FluxSenior AI Fraud Risk AnalystFraud Detection & Risk Scoring
Rhea LedgerSenior AI KYC/AML Compliance DirectorKYC/AML & Sanctions Screening
Nova SentinelLead AI Zero Trust Security ArchitectZero Trust Access Security
Iris VermaAI Verification SpecialistIdentity Verification & KYC
Oscar GraySenior AI OSINT Intelligence DirectorOSINT & Threat Intelligence
Bella NovaAI BNPL Risk AnalystBNPL Risk Monitoring


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions
Nova Sentinel — Lead AI Zero Trust Security ArchitectNova Sentinel is an AI agent that gives every login, session and payment request a trust score before the transaction is decided. She checks device, location, impossible travel and reused credentials against what's normal for that customer. Low-trust sessions go to your fraud team, or to step-up authentication if you've set that rule.

Most fraud controls look at the payment. By then the attacker is already inside a valid session, with the right password and a one-time code talked out of the customer. Your login checks and your fraud checks rarely share what they know.
is all an attacker needs
Trust is checked once, then assumed.
Reused passwords from old breaches let attackers log in as the customer. A login that passes every check can still be the wrong person.
The identity team sees a new device. The fraud team sees a new payee. Neither sees both, so the transfer looks routine to each.
After a takeover, the examiner and the customer both ask what the bank knew at login. Most teams can't show the signals they had at that moment.
Nova Sentinel is a Lead AI Zero Trust Security Architect. She sits between your authentication layer and your payment flow, scores the trust of each session and request, and passes that score to your fraud checks before money moves.

We don't publish detection numbers from our own tests. Run Nova Sentinel beside your current controls and measure what she sees on your sessions before she acts on anything.
Nova Sentinel connects to your identity and payment systems through APIs. Your login flow stays where it is.
Login events, device data, IP address, location and session activity arrive from your apps and identity provider. Breached credential checks and network reputation add outside context.
Nova scores each session and sensitive request against the customer's own history and the deterministic rules you set, such as impossible travel between two logins.
Your autonomy settings decide what happens next. High-trust sessions can continue on their own if you allow it. Medium risk goes to step-up authentication or an analyst, as you configure. High risk always goes to an analyst.
The trust score and its reasons pass to Aiden Flux and your fraud checks before a payment is decided. Every score, its inputs and any human decision go into tamper-evident evidence storage.
Run Nova Sentinel in shadow mode beside your current login and fraud controls. She scores every session and records why, and nothing is stopped or challenged. Compare her calls with your confirmed takeover cases before you switch anything on.
Nova doesn't make you compliant. She produces the session evidence these frameworks expect you to keep.
Session trust on every case, with the reasons in plain English.
| CRITERIA | Static MFA rules | Standalone device fingerprinting | Nova Sentinel |
|---|---|---|---|
| Time to first results | Already in place | Integration and tuning | Shadow mode on your live sessions |
| Who decides | Fixed rule at login | Vendor score, then your rule | Analyst, inside trust bands you set |
| Why a session was trusted | Passed MFA once | Device risk score | Plain-English reason with the signals behind it |
| Checks after login | No | Sometimes | Re-scores on new payees and profile changes |
| Shares with fraud scoring | No | Through custom integration | Yes, before a payment is decided |
| Where it's weaker | Social engineering gets past a one-time code | Sees the device, not the customer's history | Needs good device and location data, and a shadow period to tune step-up rates |
Nova's score gets sharper when other agents add what she can't see on her own.

Uses Nova's session trust score as an input when he scores the payment.
Meet Aiden
Gives Nova one identity record per customer across app, web, branch and API.
Meet Cian
Runs document and liveness checks when a low-trust session needs the customer to prove who they are.
Meet IrisLow risk can run on its own if you allow it. Medium risk goes to a person by default. High risk always goes to a person. You set the bands per rule, channel and transaction type.
Turn Nova off without touching the other agents or your core systems. The switch, and who used it, is stamped on the record.
Run Nova on live data with nothing blocked or closed. Compare the calls with your team's before anything changes.
Every decision answers why, in plain English, with the signals and the rule or policy behind it.
Each decision is stored with its inputs, its reasoning and the person who approved it, in tamper-evident evidence storage.
Agents connect beside your systems through APIs. Your core banking, screening and case tools stay where they are.
What we're learning about AML, fraud and the evidence examiners ask for.






Talk to the people who build the agents. We'll answer per capability, yes or no.
It stops a bank from trusting a session just because the login passed. Nova Sentinel scores each session and sensitive request against device, location, impossible travel and reused credentials, then passes that score to fraud checks before a payment is decided. Your team sets what happens at each trust level.
Nova scores and recommends. Your rules decide whether a medium-risk session goes to step-up authentication or an analyst, and high-risk sessions always reach a person. A kill switch turns Nova off without touching your login flow.
MFA checks the customer once at login. Nova keeps scoring through the session, so a new payee or a changed phone number after login still counts. MFA stays in place, and Nova's score can tell you when to ask for it again.
Nova scores your live sessions and records her reasons, but nothing is challenged or stopped. Your current controls keep working, and you compare Nova's scores with your confirmed takeover cases. You decide whether, and where, to switch on any autonomy afterwards.
Login and session events with timestamps, customer identifiers, device data, IP address and location. Payee changes and profile updates help her re-score mid-session. Confirmed takeover cases help tune the trust bands.
No. Nova reads events from your identity provider and apps and adds a trust score. Your authentication, MFA and login flow stay as they are.
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.
Run Nova Sentinel beside your current process. She works on your live data and records every call, and nothing is blocked, closed or sent until you decide.
Shadow mode results belong to you.
Start with one workflow in shadow mode, then decide how much each agent does on its own.