Early warning for onboarding and counterparty risk.
Bollwerk analyzes behavior across customers and counterparties to surface emerging risk early—so teams can act with confidence.
Behavioral Anomaly Detection
Real-time monitoring of submission and interaction patterns during onboarding and early lifecycle events.
Coordinated Onboarding Pattern Detected
6 applications / Similar behavioral fingerprint
Behavioral Analysis: Six applications submitted within 48 hours share device fingerprint similarities, document metadata patterns, and submission timing. Upload velocity and session behavior suggest automation or coordination. Network analysis reveals shared IP ranges across applications.
Rapid resubmission pattern / 4 attempts in 12 mins
Matches previously flagged application
*Interface simplified for demonstration. Actual data density customizable.
Our Approach
Behavior is the earliest signal of risk.
Losses rarely begin with a single bad transaction or document. They begin with behavior—how information is submitted, how patterns repeat, how signals shift before an event.
Frontier focuses on behavior at the moment risk enters your systems, combining submission context and activity patterns to surface what static, rules-based checks miss.
Behavioral Signals We Analyze
Click a source to see details
Counterparty & Customer Behavior
Money mules. Sanctions evasion. Coordinated fraud.
Bad actors reveal themselves through behavior—how documents are submitted, how accounts are opened, how patterns repeat across cases. Frontier analyzes these behavioral signals across onboarding and lifecycle events to surface risk that static checks miss.
- Behavioral red flags during document submission and onboarding
- Transaction and interaction pattern clustering
- Coordinated network behavior and repeat-attempt detection
The context problem
Risk signals evaluated in isolation. Coordinated behavior goes unnoticed.
Risk signals during onboarding are often evaluated in isolation. Velocity, device, document, and network signals live in separate tools—making coordinated behavior hard to spot. Frontier connects these signals to surface what isolated views miss.
Fast Resubmission
4 attempts in 12 mins
Fingerprint Match
Seen in 3 other apps
Metadata Anomaly
Creation time suspect
Shared IP Range
Cluster detected
Unified View
Coordinated Onboarding Pattern
Application APP-2024-847 — Device fingerprint matches 3 other recent applications. Rapid resubmission pattern suggests automation. Document metadata indicates shared creation source. IP range overlaps with previously flagged network cluster. Pattern consistent with coordinated mule recruitment.
From Alert to Review-Ready Case
Detecting behavioral risk is just the start. Investigation should be automated too.
Every high-risk onboarding alert triggers manual review—gathering documents, validating context, reconstructing submission history. Frontier automates this preparation so teams can focus on judgment, not data gathering.
Behavioral Evidence
AI gathers relevant behavioral evidence—submission context, device signals, document analysis, timing—and assembles a complete review package.
Review Summaries
Clear, structured summaries of why a case was flagged—ready for analyst review and escalation.
Time to Decision
What took hours now takes minutes. Analysts receive pre-investigated cases ready for escalation or dismissal.
Ready to see Frontier in action?
Schedule a personalized demo with our team. We'll show you how Frontier transforms risk detection and compliance automation for your institution.
Currently accepting enterprise and institutional partners.