UK'S #1 COMPLIANCE BURDEN · FINTECHS & DATA CENTRES · AML · KYC · SAR FILING · AUDIT REPORTS · OPERATIONAL RISK

We automate compliance
before it becomes a crisis.

Regulatory compliance is the single biggest operational threat facing Series A–B fintechs — responsible for failed audits, lost deals, and licence revocations. VIRGIL is the AI-native compliance layer — continuously monitoring transactions, detecting AML anomalies, generating SARs, and producing audit-ready evidence packs.

FCA enforcement actions are up 43% in the past 24 months. DORA, AMLD6, and Consumer Duty are adding obligations faster than compliance teams can absorb them. Data centres face NIS2, ISO 27001, and SOC 2 simultaneously. VIRGIL is the automation layer: an agent engine wired to your data, generating regulator-ready output in under 48 hours.

Book a Demo View Platform
Platform Features

How a compliance obligation
gets resolved in 48 hours.

VIRGIL connects to your transaction and infrastructure data, runs a 6-agent consensus engine built on documented AML and regulatory failure patterns, and autonomously generates SARs, audit packs, and regulatory reports across FCA, AMLD6, SOC 2, NIS2 and DORA — so your team reviews and submits, never drafts from scratch.

F-001
Compliance automated. No manual assembly required.

VIRGIL monitors your transaction stream and infrastructure posture, scores anomalies, and generates regulatory reports automatically. Your compliance team focuses on decisions and sign-off — not pulling data, writing SARs, or formatting audit packs.

DATA → SCORE → REPORT → SIGN-OFF
F-002
High-accuracy AML detection — built on documented failure signatures

The agent engine is built on documented AML and regulatory failure patterns — the specific pre-event signals in transaction velocity, structuring behaviour, and counterparty patterns. Six agents vote in consensus before any alert fires, eliminating false positives that erode MLRO trust.

AML FAILURE SIGNATURES · 6-AGENT CONSENSUS
F-003
SAR drafts in one click. FCA-ready.

Compliance analysts spend 60–70% of their week manually drafting SARs. VIRGIL Copilot generates complete Suspicious Activity Report drafts mapped to FCA requirements, ready for MLRO review and submission — in a single click.

ONE-CLICK SAR · FCA-MAPPED · MLRO READY
F-004
Every regulatory obligation, visible in real time

AMLD6, DORA, FCA Consumer Duty, PSD3, NIS2, SOC 2 — every framework your fintech or data centre is subject to, tracked continuously. VIRGIL surfaces live compliance posture across your entire regulatory surface.

AMLD6 · DORA · NIS2 · SOC 2 · ISO 27001
F-005
Audit evidence packs — ready for your next supervisory visit

VIRGIL generates timestamped, event-level evidence bundles mapped to your specific regulatory framework — automatically compiled, structured for FCA supervisory visits, NIS2 audits, or ISO 27001 assessments, and exportable for enterprise buyers requiring SOC 2.

AUDITABLE · FCA-READY · SOC 2 MAPPED
F-006
Free gap report. Live in under 48 hours.

Read-only API connection. 48 hours. VIRGIL delivers a detailed report showing your top 5 AML or infrastructure blind spots and audit readiness score against FCA, NIS2, or SOC 2 expectations — no sales pitch, pure intelligence.

FREE GAP REPORT · READ-ONLY · ZERO DISRUPTION
“

Impressive — you didn't just bolt an LLM on a problem. You understood where AI shouldn't be trusted and forced every SAR draft through human review. That's the judgment that separates compliance experts from armchair theorists.

VP
Vatsal Pareshkumar
Founder · OutputLens
VIRGIL Copilot — Now Live

Your compliance team's
always-on co-pilot.

VIRGIL Copilot is the MLRO-facing intelligence layer — surfacing agent reasoning, flagging live alerts, and generating SAR drafts directly inside your compliance workflow. No tab-switching. No copy-pasting from a dashboard. Compliance intelligence where your team already works.

SAR Draft in One Click

Copilot generates a complete, FCA-mapped Suspicious Activity Report draft from the flagged transaction data — with agent reasoning, counterparty analysis, and structured sections ready for MLRO review. One click. Under 60 seconds.

Agent Reasoning Visible

Every alert shows the full 6-agent consensus trace: which agents fired, what signals triggered them, and why. MLROs sign off on evidence, not black boxes — satisfying FCA explainability expectations out of the box.

Live Alert Triage

Alerts surface prioritised by severity, framework relevance, and velocity signal. Copilot filters false positives before they reach the MLRO queue — reducing analyst review time by up to 70% while raising escalation quality.

Data Centre & Infrastructure Compliance

Copilot extends beyond transaction monitoring — tracking NIS2 incident reporting windows, ISO 27001 control evidence, and SOC 2 audit artefacts for regulated data centres and cloud infrastructure operators.

VIRGIL Copilot — MLRO Review Interface LIVE
HIGH
ALT-00847 · Velocity Structuring
TXN #4821–C · £42,800 across 6 transactions · 4h window
94/100
6-AGENT CONSENSUS
AML Detection
SUSPICIOUS
SAR Generation
DRAFT READY
Audit Evidence
LOGGED
Policy Drift
CLEAR
Counterparty
FLAGGED
Risk Score
ELEVATED
SAR DRAFT — SECTION 1 / SUSPICIOUS ACTIVITY SUMMARY Generating…

The subject entity conducted a series of 6 transactions totalling £42,800 within a 4-hour window on 14 May 2026, consistent with structuring behaviour as defined under POCA 2002 s.330. Counterparty analysis by the AML Detection Agent identified anomalous velocity patterns not observed in the prior 90-day baseline.

SECTION 2 — COUNTERPARTY ANALYSIS |

FCA MLRO Rules AMLD6 DORA NIS2 SOC 2
See Copilot in action

A 30-minute demo includes a live Copilot walkthrough on your specific regulatory obligations.

Book a Demo
Built For

Fintechs and data centres —
expanding across the value chain.

VIRGIL's beachhead is FCA-authorised fintechs with 1–3 person compliance teams. We are expanding to regulated data centres facing NIS2, ISO 27001, and SOC 2 obligations — where infrastructure compliance carries the same deal-blocking, licence-risk consequences.

PRIMARY ICP
01
MLROs & CCOs at Series A–B Fintechs

Our beachhead. MLROs at FCA-authorised fintechs face personal liability under FCA MLRO Rules and supervisory visits rising 40% year-on-year. VIRGIL gives them a live, auditable compliance record — AML anomaly detection, SAR drafts, and evidence packs — that turns an overwhelmed 2-person team into a defensible compliance function.

UK Beachhead · FCA-Authorised · EMI · BaaS
02
CFOs & COOs at Series B Pre-Close

Compliance gaps surfaced during Series B due diligence kill deals. VIRGIL generates the audit trail and evidence packs that satisfy investor DD teams before they flag compliance as a deal risk. The trigger: a Series B round in the next 6 months with DD starting.

Deal Risk Elimination
03
BaaS Operators & Sponsor Banks

Sponsor banks tightening quarterly reporting requirements create acute compliance pressure for BaaS operators. VIRGIL generates sponsor bank report templates automatically and surfaces the operational risk dashboard that satisfies quarterly reporting without manual effort.

Sponsor Bank Reporting
04
Enterprise Buyers Requiring SOC 2

SOC 2 Type II is required by every enterprise buyer. VIRGIL compiles the evidence bundles, access logs, and control documentation that form the backbone of a SOC 2 audit pack — mapped to your specific framework, continuously updated. No SOC 2 means no B2B contract.

SOC 2 Evidence Automation
Why VIRGIL Wins

The moat is the
regulatory pattern library.

VIRGIL's agent engine is built on documented AML and regulatory failure patterns — the specific pre-event signals that precede regulatory action. That pattern library is the moat.

SOC 2–Ready Architecture

Security controls and auditability designed to support SOC 2 Type II and FCA-equivalent frameworks from day one of deployment — so your enterprise buyers can sign contracts.

End–to–End Encryption

Data encrypted in transit (TLS) and at rest (AES–256). Zero–plaintext policy for production systems handling transaction, KYC, infrastructure, and regulatory data.

Cloud–Native Redundancy

Multi–region deployment with automatic failover, supporting UK, EU, and global fintech and data centre clients with jurisdiction-specific data residency.

Enterprise SLAs & DPA

Contractual SLAs, data processing addenda, and security exhibits aligned with FCA-authorised firm, BaaS operator, data centre, and enterprise buyer requirements.

Regulatory Coverage

Seven frameworks.
Every one a contract blocker.

The compliance surface for UK fintechs and regulated data centres is expanding at a pace that outstrips most compliance teams. VIRGIL covers every major framework your organisation is subject to — continuously, automatically, and with the audit trail to prove it.

R-001
FCA MLRO Rules · Active

Personal liability for MLROs. Supervisory visits rising 40% YoY. VIRGIL generates the continuous monitoring evidence and SAR documentation that demonstrates an effective AML framework to the FCA.

ACTIVE · PERSONAL MLRO LIABILITY
R-002
DORA · January 2025

Digital operational resilience. Mandatory incident reporting and ICT risk frameworks. VIRGIL maps your operational risk posture continuously and generates the incident-level documentation DORA requires.

LIVE JAN 2025 · MANDATORY REPORTING
R-003
AMLD6 · Active

Stricter AML controls, wider predicate offences, criminal liability. VIRGIL's AML engine is trained on AMLD6-compliant detection patterns, with SAR generation and audit packs built to the updated standard.

ACTIVE · CRIMINAL LIABILITY
R-004
PSD2 / PSD3 · Incoming

Open banking liability shift and new fraud reporting obligations. VIRGIL tracks PSD3 implementation milestones and surfaces the transaction monitoring gaps that create exposure under the incoming framework.

INCOMING · LIABILITY SHIFT
R-005
FCA Consumer Duty · Active

Ongoing monitoring and evidence of fair customer outcomes. Mandatory audit trail. VIRGIL generates the continuous monitoring record and outcome evidence that Consumer Duty demands — automatically, not retrospectively.

ACTIVE · AUDIT TRAIL MANDATORY
R-006
SOC 2 Type II · Commercial Gate

Required by every enterprise buyer. No SOC 2 means no B2B contract. VIRGIL compiles the evidence bundles, control documentation, and access logs that form the backbone of a SOC 2 audit — mapped to your specific framework and continuously maintained.

COMMERCIAL GATE · B2B REQUIREMENT
FAQ

Frequently asked
questions.

Existing AML tools detect anomalies but leave the compliance team to do everything else: write the SAR, compile the audit pack, track regulatory obligations. VIRGIL is the full-stack compliance automation layer — AML detection plus SAR generation via Copilot plus SOC 2 evidence plus operational risk monitoring, in one platform, priced for Series A–B fintechs and regulated data centres rather than banks with £150K budgets.

VIRGIL Copilot is the MLRO-facing intelligence layer built into the platform. It surfaces live alerts with full agent reasoning traces, generates SAR drafts in one click, and exports evidence packs — all inside the compliance workflow. Copilot also tracks NIS2 incident reporting windows and ISO 27001 control evidence for data centre clients. See it demonstrated at any product demo.

No. VIRGIL automates the document assembly, report generation, and monitoring that currently consumes 60–70% of a compliance analyst's week. Your MLRO reviews SAR drafts via Copilot and submits them — they never draft from scratch. FCA MLRO Rules require personal sign-off; VIRGIL makes that sign-off faster and better-evidenced, not unnecessary.

Connect a read-only API, or upload your transaction data as CSV, Excel, or PDF. Within 48 hours, VIRGIL delivers a detailed report showing your top 5 AML or infrastructure blind spots, a regulatory framework coverage assessment, and an audit readiness score benchmarked against FCA, NIS2, or SOC 2 expectations. No sales pitch. Pure intelligence.

Yes. VIRGIL Copilot extends to regulated data centres and cloud infrastructure operators facing NIS2 mandatory incident reporting, ISO 27001 audit obligations, and SOC 2 Type II requirements from enterprise buyers. The same agent-driven evidence compilation and audit pack generation that serves fintechs applies directly to infrastructure compliance obligations.

VIRGIL uses encryption in transit (TLS) and at rest (AES–256), least–privilege access controls, network segmentation, and continuous monitoring. We operate to SOC 2–ready standards and support regional hosting for UK and EU clients. A Data Processing Addendum is available on request.

Book a Demo

See VIRGIL in action.

Book a 30-minute demo and we'll walk you through VIRGIL's AML detection, SAR generation via Copilot, and audit evidence capabilities using a live environment. Our team will respond within 24 hours.

WHAT TO EXPECT
Live Platform Walkthrough
See AML anomaly detection, Copilot SAR generation, and audit evidence packs on a live environment.
Your Use Case
We tailor the demo to your obligations — FCA, AMLD6, DORA, NIS2, SOC 2, ISO 27001, or sponsor bank reporting.
Free Gap Report
Every demo includes a complimentary AML or infrastructure blind spot assessment — no commitment required.
30 Minutes. No Sales Pitch.
A focused technical walkthrough with our compliance engineering team. You leave with a clear view of how VIRGIL fits your stack.
Current Availability

Accepting demo requests for Q2 2026. Response within 24 hours.

DEMO REQUEST FORM

By submitting you agree to our Privacy Policy. Eulerian Holdings Ltd. · Company No. 16551691.

P(SAR|D) ∝ P(D|SAR)·P(SAR) E[fine] = Σ p¹·F¹·(1−m) precision = TP / (TP + FP) risk = f(velocity, θ, counterparty) AML ∩ KYC ∩ SOC2
7EULERIANSTRATEGIES · ABOUT US FOUNDED 2025 · UK
ABOUT / 7EULERIANSTRATEGIES

Engineering
the compliance automation
era.

We automate regulatory compliance for UK fintechs and regulated data centres before it becomes a crisis. VIRGIL continuously monitors transactions and infrastructure, detects AML anomalies, generates SARs via Copilot, and produces audit-ready evidence packs. Our regulatory pattern library is the moat.

The industry doesn't have a data problem. It has an automation problem — compliance signals arrive too late, too manually-processed, and too siloed to prevent regulatory action. We built VIRGIL to close that loop.

Kent & Kingston
University roots
Founded by engineering and research undergraduates united by a shared belief that fintech and data centre compliance deserves better tools and better outcomes.
Production–Grade
Engineering culture
Large–scale agentic AI systems, production data pipelines, and real–world regulatory exposure — from day one.
UK · EU · Global
Global ambition
Building the compliance automation layer for the world's most regulated fintech and infrastructure markets.
Our Story

Regulatory compliance.
One pattern library.
One moat.

Every major regulatory failure follows a pattern. A suspicious transaction isn't flagged without warning signals — velocity spikes, structuring behaviour, counterparty anomalies. A compliance gap doesn't materialise overnight. The signals are there. The industry just wasn't processing them fast enough, or automatically enough, to act before the FCA or NIS2 regulator did.

We documented AML and regulatory failure patterns — the specific pre-event signal sequences that precede regulatory action, failed audits, and licence revocations. Not from a generic dataset. From direct research and case-by-case analysis, extracting the compliance patterns that standard rule-based monitoring tools consistently miss.

That corpus is encoded into VIRGIL's agent engine and surfaced through Copilot. It is the reason VIRGIL catches compliance risks before they escalate.

We then wired that engine to transaction data streams, infrastructure monitoring, regulatory framework mappings, and SAR generation workflows. The result: a platform that detects AML anomalies, scores severity, generates regulatory reports, and compiles audit evidence — automatically, in under 48 hours.

WHAT WE STAND FOR
  • Engineering rigour
    Production–grade systems, not prototypes. We ship compliance automation that holds under real regulatory conditions.
  • Regulatory depth
    We understand FCA MLRO Rules, AMLD6, DORA, NIS2, and SOC 2 from the inside. We know what an MLRO needs to sign off a SAR.
  • Automate before, not remediate after
    The industry is built on reactive compliance. We're building the infrastructure to shift it towards prevention.
  • Team over hierarchy
    We move fast because we trust each other. Decisions are made by people closest to the problem.
  • Craft meets impact
    We genuinely care about what we build — the accuracy of the agents, the precision of the SAR drafts, the clarity of the audit packs.
Founder

Mitual Sharma.
Founder, CEO & CTO.

Building AI-native compliance infrastructure for the next generation of fintechs.

Most compliance failures are not surprises. The signals exist — in transaction velocity, counterparty behaviour, control gaps — long before a regulator acts. The industry's problem was never data. It was that the data arrived too late, too manual, and too disconnected to prevent the outcome.

His edge is the combination this market rarely holds in one person: AI systems engineering, regulatory operating knowledge, and product architecture. He builds the detection models, designs the agent consensus that makes their output trustworthy, and turns dense regulatory obligation into something a founder can act on in an afternoon — not a quarter.

Compliance should be invisible, automated, and on the founder's side — not a tax on building.

He started by building risk-prevention systems and kept hitting the same wall: compliance teams of one or two, expected to hold back obligations designed for departments. Vigil is the tool he wished those teams had — one that does the watching, drafting, and evidencing, so people can do the judgement.

Vigil is the compliance engine for regulated fintechs — the layer they never have to think about, because it already works.

WHAT HE LEADS
  • AI systems design
    The detection models and 6-agent consensus that make autonomous compliance output something a team will trust and act on.
  • Product architecture
    From a transaction or infrastructure signal to an MLRO-ready SAR, audit pack, and live readiness score.
  • Regulatory intelligence
    Models that keep Vigil current as FCA, GDPR, and audit obligations move — and tailored to each firm.
  • Commercial narrative
    How the platform works — and why it matters to the people who carry the regulatory risk.
The Team

The team that built
the pattern library.

VIRGIL's moat is a documented corpus of AML and regulatory failure patterns. Building it required AI engineers who understood anomaly detection at production scale, platform engineers who could wire transaction signals to real-world regulatory reports, and domain experts who knew what those signals actually meant inside an FCA-authorised firm's compliance function.

MS
Mitual Sharma
Founder · CEO & CTO

Owns Vigil's technical direction and commercial narrative — the detection models, the 6-agent consensus, the product architecture, and the regulatory intelligence that keeps it current. AI engineering, regulatory operating knowledge, and product in one place.

Agentic AIProduct ArchitectureRegulatory Intelligence
AM
Alex Magena
Co-Founder · Growth & Operations

Brings real operating experience from building and running earlier ventures — growth, brand, and commercial execution. The muscle that turns a precise compliance product into a business fintech founders and their banks actually buy.

Go-To-MarketOperationsCommercial
TS
Teghvir Singh
Co-Founder · Engineering & Systems

Behind the production systems that make Vigil real — the real-time pipeline from signal to SAR, the framework mappings across FCA, GDPR, SOC 2 and beyond, and the infrastructure that holds under genuine regulatory conditions, at scale.

Real–Time SystemsData InfrastructurePlatform Engineering
Operating track record — ventures the team has built & run: AllIsWellOnline MarketingZend Rochards
Connect With Us Follow our progress at 7EulerianStrategies
Our Mission

Rigorous engineering.
Deep regulatory
understanding.

We exist to create AI that genuinely serves the people solving real–world compliance problems — MLROs, CCOs, data centre compliance officers, and analysts buried in manual reporting obligations. Not another dashboard. An intelligence that acts, learns, and makes the regulatory function stronger every time it generates a report.

HOW WE'RE DOING IT
  • Agentic AI that closes the compliance loop
    Complete regulatory outputs generated autonomously in under 48 hours, from transaction or infrastructure signal to MLRO-ready SAR via Copilot.
  • Six agents working in consensus, not single bets
    Fewer false positives, stronger recall, and explainability that compliance teams and FCA supervisors can trust and evidence.
  • Built into existing compliance workflows
    We don't ask MLROs to change tools. VIRGIL Copilot surfaces intelligence inside the systems they already use every day.
  • Enterprise–grade from the start
    SOC 2–ready, end–to–end encrypted, UK data residency available. The security posture enterprise buyers and FCA supervisors require.
Work With Us

See what VIRGIL can do
for your compliance function.
Book a demo.

If you're a UK FCA-authorised fintech or regulated data centre with a compliance obligation in the next 6 months — book a 30-minute demo and we'll show you exactly how VIRGIL and Copilot address your specific requirements.

Book a Demo Follow on LinkedIn

RESPONSE WITHIN 24 HOURS

Pricing

Compliance that scales
with your firm.

Every plan includes hands-on compliance consulting — our team works alongside yours, not just the software. Regulatory coverage is tailored to each firm: frameworks are automatically configured to your business profile, licences, and jurisdiction.

Available now
Startup
£2,000/month
For pre-seed and seed fintechs building their compliance foundation. Stay compliant, investor-ready, and audit-ready from day one.
  • AI Compliance Copilot
  • Compliance Health, FCA, GDPR & Audit Readiness scores
  • Live Regulatory Updates
  • Policy & Control Mapping Engine
  • Continuous Evidence Collection
  • Investor-Ready Trust Center
  • Core integrations: Google, Microsoft 365, GitHub, GitLab, AWS, Slack, HR
  • Unlimited API access · Up to 5 users
  • Hands-on compliance consulting
Coverage tailored to your firm — typically GDPR & an FCA Readiness Pack
Book a Demo
Available now
Growth
£5,000/month
For Series A and Series B fintechs preparing for audits and enterprise growth. Automate compliance operations and maintain continuous audit readiness.
  • Everything in Startup, plus…
  • Advanced Evidence Automation & Freshness Monitoring
  • Compliance Drift Detection
  • AI Risk Engine
  • Audit Preparation Mode
  • Compliance Analytics Dashboard
  • Role-Based Access Control (RBAC)
  • Advanced Workflow Automation & expanded integrations
  • Up to 20 users
Up to 3 regulatory domains — tailored from GDPR, FCA, SOC 2, ISO 27001, PCI-DSS
Book a Demo
Coming soon
Enterprise
Custom pricing
For regulated fintechs operating across multiple jurisdictions and entities. Run compliance as a continuously monitored operating system.
  • Everything in Growth, plus…
  • Multi-Entity Compliance Management
  • Multi-Jurisdiction Regulatory Coverage
  • Enterprise Governance & Advanced Approval Chains
  • Custom Regulatory Frameworks
  • Enterprise Security Integrations & Private Deployment
  • Dedicated Customer Success · SLA-backed support
  • Unlimited domains · Unlimited users
Unlimited regulatory domains, tailored across jurisdictions
Coming soon

Coverage examples are typical, not fixed — your exact regulatory frameworks are tailored to your firm's profile, activities, and jurisdiction. Every tier includes consulting from our compliance team.

P(SAR|D) ∝ P(D|SAR)·P(SAR) E[fine] = Σ p¹·F¹ precision = TP / (TP + FP) risk = f(velocity, θ) AML ∩ KYC ∩ DORA
LIVE RESEARCH HUB VOLUME IV · Q1 2026 7EULERIANSTRATEGIES · INSIGHTS
002 / REGULATORY INTELLIGENCE INSIGHTS

Behavioural
science meets
fintech compliance.

Academic research, practitioner analysis, and evidence-based perspectives on how regulatory frameworks, cognitive biases, and AI automation shape compliance decisions — from AML judgment to audit readiness and regulatory risk perception.

24Articles Published
4Research Streams
Q1 2026Latest Edition
Regulatory Behaviour
Stream 01 · 6 articles
Heuristics, biases, and cognitive shortcuts that distort compliance risk perception in fintech teams and MLROs under regulatory pressure.
AML Decision-Making
Stream 02 · 6 articles
Dual-process theory, framing effects, and groupthink in AML alert triage and suspicious activity judgments.
Enforcement & Psychology
Stream 03 · 6 articles
Loss aversion, prospect theory, and the endowment effect applied to FCA enforcement response and regulatory settlement negotiation.
AI & Compliance Futures
Stream 04 · 6 articles
Temporal discounting, automation bias, and trust calibration in AI-assisted compliance and agentic regulatory systems.
FEATURED / MOST RECENT
P(SAR|D) = P(D|SAR)·P(SAR) / P(D)
FeaturedRegulatory BehaviourMar 2026
Mar 2026 · 10 min read

The Availability Heuristic and Systematic Compliance Risk Misjudgment: Implications for AML Detection and Automated Oversight

When the FCA announces a high-profile enforcement action, compliance teams at unaffected fintechs temporarily inflate their own regulatory risk estimates — then revert to systematic under-estimation within months. This paper examines the availability heuristic's role in compliance risk perception and the structural interventions that AI-native compliance platforms can deploy to counteract it.

7EulerianStrategies Research10 MIN1,842 views
SHOWING 8 OF 23 ARTICLES
Interactive Research Tools

The mathematics of
compliance risk.

Four foundational models from decision science and regulatory economics, rendered interactively.

01 · Bayesian AML Updating
P(SAR|D) = P(D|SAR) · P(SAR) / P(D)
Prior P(SAR)0.30
Alert accuracy0.75
False +ve rate0.15
Posterior P(SAR|alert): —
Updating prior SAR probability with new transaction anomaly evidence. Critical for understanding how real-time AML signals should shift an MLRO's prior on expected suspicious activity.
02 · Prospect Theory in Compliance
v(x) = x¹ (gains) · −λ(−x)² (losses)
Loss aversion λ2.25
Gain curve α0.88
Loss aversion ratio: 2.25× gains
Kahneman & Tversky's value function explains why MLROs feel a regulatory fine far more acutely than an equivalent compliance investment saving.
03 · Expected Regulatory Loss
E[L] = Σ¹ p¹ · F¹ · (1 − m¹)
P(AML fine)8%
P(licence action)3%
Automation m35%
Expected annual regulatory loss: —
Computes expected regulatory loss across risk categories with compliance automation mitigation applied.
04 · AML Signal Detection Theory
d′ = (μ_signal − μ_noise) / σ · β = threshold
Sensitivity d′2.0
Threshold β0.0
Hit rate: — · False +ve: —
Models the tradeoff between missed suspicious transactions and false AML alerts in autonomous compliance monitoring.
Category · Date

Article Title

Author · Read time
Legal Hub

Policies for
regulated clients.

This hub summarises how 7EulerianStrategies and VIRGIL operate from a legal, privacy, and security perspective. All documents are effective from 1 February 2026.