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    PEP, sanctions & adverse media

    AML Screening

    Continuous screening against the world's most authoritative watchlists.

    ComplianceSuite · AML Screening
    search #SCR-58112
    Screening › Matches
    Subject
    Donald Trump · DOB 14/06/1946 · US
    4 hits
    #
    Closest Reason
    Score
    Status
    1.
    Sanctions · OFAC SDN
    100%
    Open
    2.
    PEP · Head of State (former)
    98%
    Open
    3.
    Adverse Media · Litigation
    87%
    Review
    4.
    Relationship · Family
    71%
    Review
    Lists: OFAC · UN · EU · UK HMT · 240+ PEP sourcesRefreshed 4 min ago
    100M+
    Profiles screened
    LexisNexis WorldCompliance Data
    <200ms
    Single-name latency
    p95 — synchronous API
    Daily
    Portfolio rescreening
    Delta alerts only — no noise
    ↓ 64%
    False positives
    vs. unmodified vendor scoring

    What it does

    PEP, sanctions & adverse media

    Powered by LexisNexis WorldCompliance Data and Bridger Insight XG. Configurable matching, false-positive reduction, and ongoing monitoring of your full customer base.

    • Global sanctions, PEP, and adverse-media coverage
    • Fuzzy matching with configurable thresholds
    • Daily portfolio rescreening and delta alerts
    • Whitelisting, escalation, and reviewer queues
    • Full audit trail of every match decision

    Use cases

    How teams put it to work.

    Three concrete scenarios from regulated institutions running ComplianceSuite in production today.

    1

    Onboarding-time sanctions check

    A bank must check every new applicant against UN, EU, OFAC, UK and 200+ national sanctions lists in real time, with a hard SLA of <500ms total onboarding latency.

    Screening returns a confirmed match-or-clear in <150ms median, with disambiguation surfacing only the genuinely overlapping profiles for reviewer triage.

    2

    Continuous portfolio monitoring

    A wealth manager rescreens its full client book daily against updated PEP, sanctions and adverse-media data — with thousands of false positives swamping the team's day.

    Delta-only alerting surfaces only what changed since yesterday. Whitelisting, contextual scoring and reviewer feedback compound to cut the daily review queue by 64%.

    3

    Adverse-media triage at scale

    A correspondent bank's MLRO must triage adverse-media alerts on 30,000 corresponding institutions — including foreign-language and category-tagged sources.

    Adverse-media is pre-filtered by relevance category (financial crime, fraud, sanctions, terrorism), language and recency. The MLRO reviews a prioritised shortlist instead of a noise wall.

    How teams use it

    Built into a single end-to-end workflow.

    STEP 1

    Configure

    Map your policies, risk factors, and regulator requirements into the engine — no code.

    STEP 2

    Operate

    Your reviewers work from one inbox with full context, history, and supporting evidence.

    STEP 3

    Prove

    Generate audit-ready reports in minutes, on demand, with full versioned trail.

    FAQ

    Buyer questions, answered.

    The five things compliance, product and security teams ask before activating AML Screening. Need more detail? Talk to a specialist.

    Reviewed by our compliance product team — Q1 2026

    Up next

    Transaction Monitoring

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