CORE INTELLIGENCE MODULE // 02

Screen 140+ global sanctions lists and PEP databases with zero common-name false alarms.

Compliance officers waste 85% of their working hours manually investigating false positives generated by legacy fuzzy-match databases. Diliguard combines 140+ real-time sanctions, PEP, and adverse media watchlists with multi-factor biographical corroboration, delivering high-confidence match verdicts in seconds.

The false-positive crisis that paralyzes compliance teams

Legacy AML screening tools rely on primitive text matching algorithms. When an onboarding applicant shares a common surname with a sanctioned politician in another country, the system triggers a high-severity alert, halting customer onboarding while analysts manually verify passports and birth records.

This false-positive operational drag costs financial institutions hundreds of thousands of dollars annually, creates customer onboarding drop-offs, and induces analyst fatigue that allows genuine illicit actors to slip through undetected.

The Diliguard Standard

85% Less Noise
Eliminate false positives with multi-factor biographical resolution
140+ Feeds
OFAC, EU, UK HMT, UN, INTERPOL, and national Gazettes
Real-Time Sync
Watchlists updated continuously with zero batch-file lag

Four Pillars of Context-Aware AML Screening

1. Multi-Jurisdiction Sanctions Coverage

Live monitoring across OFAC SDN, EU Consolidated, UK HM Treasury, UN Security Council, and global regulatory enforcement lists.

  • Instant matching across primary international sanctions regimes.
  • Automatic tracking of aliases, alternative spellings, and transliterations.
  • Coverage of export control restrictions and Entity Lists.

2. Tiered PEP & Relative Classification

Identifies Politically Exposed Persons (PEPs), Heads of State, senior military officials, and their direct family members and close associates (RCA).

  • Categorize PEPs by FATF regulatory risk tiers (Tier 1 to Tier 4).
  • Map family members and known commercial associates.
  • Verify active political tenure versus former public officials.

3. Biographical Disambiguation Engine

Cross-references dates of birth, commercial directorships, registered corporate addresses, and education markers to eliminate false matches.

  • Eliminate common name collisions with high-precision scoring.
  • Incorporate live data from Corporate KYB Checks.
  • Confirm identity markers before flagging compliance alerts.

4. Continuous Watchlist Monitoring

Automated event-driven alerts that notify your compliance team immediately if a verified customer or director is added to a newly published sanctions list.

  • Real-time webhook notifications for compliance teams.
  • Automated recertification logging for annual regulatory audits.
  • Direct investigation handoff to Executive Person Trace.
HOW THE ENGINE EXECUTES

Precision AML & Sanctions Disambiguation Pipeline

01. INGESTION
Entity Name & Marker Ingestion

Ingest target name, aliases, DOB, nationality, and corporate ties.

02. WATCHLIST
Multi-Feed Index Search

Search 140+ global sanctions and PEP databases in parallel using phonetics and transliteration.

03. DISAMBIGUATION
Biographical Corroboration

Correlate historical directorships, addresses, and age to discard false-name coincidences.

04. SCORING
Risk Tier & Audit Certificate

Generate risk-weighted score (0-100) and exportable compliance certificate.

Why Modern Teams Replace Legacy Bureaus With Diliguard

Dimension Legacy Research Bureaus Diliguard Intelligence Engine
Execution Speed 3 to 7 business days per report < 4 seconds (Real-time live queries)
Pricing Model $150 to $500 per search penalty Flat self-serve subscription (Zero search penalties)
Data Freshness Cached periodic database dumps Live primary government registry sync
Team Access Expensive per-seat licensing Unlimited seats on all team plans
Integration Manual email requests and PDF downloads Instant Web Portal + REST API + native MCP Server
FINANCIAL INSTITUTION CASE STUDY

The Cross-Border Sanctioned Politician Evading Static Watchlists

A European wealth platform was onboarding a holding company director with a common Western name. Standard AML tools flagged 14 unrelated false positives but missed the director’s 40% equity stake in an Eastern European logistics firm owned by a designated PEP.

01. INTAKE

Compliance officer enters prospective client into Diliguard AML API.

02. DISAMBIGUATION

Engine resolves 14 name collisions in 2.1 seconds, clearing false matches.

03. CORRELATION

System cross-references corporate registries, identifying PEP co-shareholder.

04. ESCALATION

Account flagged for Enhanced Due Diligence (EDD), preventing regulatory sanction.

DEVELOPER INTEGRATION

POST /api/v2/aml-pep-screen

curl -X POST https://api.diliguard.com/api/v2/aml-pep-screen \
  -H "Authorization: Bearer $DILIGUARD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "full_name": "Alexander Morgan",
    "dob": "1978-04-12",
    "country": "GB",
    "fuzziness": 0.85
  }'

Native Model Context Protocol (MCP) server support included for AI workflows. Explore MCP Setup →

SECURITY & COMPLIANCE

Institutional Trust Standards

  • Multi-source corroboration eliminates false positive alert fatigue.
  • Deterministic scoring outputs with clear regulatory reasoning.
  • Immutable screening records formatted for regulatory examinations.
  • Zero client search data retention under strict privacy configuration.

Eliminate false-positive alert fatigue today

Screen individuals and corporations across 140+ global watchlists with sub-second biographical precision.