Sanction, PEP and Adverse Media Monitoring
Real-time watchlist intelligence screens actors against global lists at the moment of capture and feeds the result into the same decisioning engine that handles document, biometric, and device signals.
Part of a bigger picture
Microblink treats watchlist screening as a signal, not a step. When screening lives inside the Identity Intelligence OS, sanctions and PEP results arrive in the same context as document authenticity, biometric liveness, device intelligence, and behavioral patterns. Decisioning engine evaluates them together.
Explore Identity Intelligence OS
How it works
Watchlists update constantly. Sanctions are added, PEPs change roles, adverse media surfaces overnight. Microblink keeps coverage current across the categories regulated industries depend on.
Individuals who hold or have held prominent public positions, including heads of state, senior government officials, senior military officers, and their close family members and associates. PEP screening is required under anti-money laundering regulations in many jurisdictions.
Sanctions lists and watchlists maintained by governments and international bodies, including OFAC, the European Union, and the United Nations. A match may indicate a sanctioned, prohibited, or otherwise restricted party.
Negative news coverage tied to financial crime, fraud, corruption, and other serious misconduct. Adverse media adds signals from unstructured sources alongside the structured PEP and AML lists.
Microblink re-screens actors automatically as lists update. When a new match appears, the workflow you defined takes over: notify the team, trigger step-up authentication, freeze the account, or open a manual review case. Whatever the policy says, it executes consistently, and every monitoring event is logged with full context, ready for audit.
Name similarity is the most common source of false positives in watchlist screening. Thousands of people share names with listed individuals. Microblink assigns a relevancy score to every match. The score measures how many identifying details align beyond the name: date of birth, nationality, and other contextual signals. Compliance teams see ranked, weighted matches.
Individuals who hold or have held prominent public positions, including heads of state, senior government officials, senior military officers, and their close family members and associates. PEP screening is required under anti-money laundering regulations in many jurisdictions.
Sanctions lists and watchlists maintained by governments and international bodies, including OFAC, the European Union, and the United Nations. A match may indicate a sanctioned, prohibited, or otherwise restricted party.
Negative news coverage tied to financial crime, fraud, corruption, and other serious misconduct. Adverse media adds signals from unstructured sources alongside the structured PEP and AML lists.
Microblink re-screens actors automatically as lists update. When a new match appears, the workflow you defined takes over: notify the team, trigger step-up authentication, freeze the account, or open a manual review case. Whatever the policy says, it executes consistently, and every monitoring event is logged with full context, ready for audit.
Name similarity is the most common source of false positives in watchlist screening. Thousands of people share names with listed individuals. Microblink assigns a relevancy score to every match. The score measures how many identifying details align beyond the name: date of birth, nationality, and other contextual signals. Compliance teams see ranked, weighted matches.
The Microblink Difference
Inside the Identity Intelligence OS every screening parameter is exposed and configurable. Every change is versioned, and decisions are auditable.
Set the score that triggers an action for PEP, AML, and adverse media independently. Stricter thresholds for high-value transactions, lighter checks for low-risk.
Screening results feed into the system trust score alongside document, biometric, and other signals for a single weighted decision.
Build onboarding branching logic without writing code. Runs across web, mobile, kiosk, API, and AI agent-initiated flows.
PEP relevancy score exceeds the threshold and transaction value is above a set limit, automatically route to manual review.
Resolve as rejected or route to manual review when a score exceeds the threshold.
Re-screen actors automatically as lists update. Notify, escalate, freeze, or flag for review.
Set the score that triggers an action for PEP, AML, and adverse media independently. Stricter thresholds for high-value transactions, lighter checks for low-risk.
Screening results feed into the system trust score alongside document, biometric, and other signals for a single weighted decision.
Build onboarding branching logic without writing code. Runs across web, mobile, kiosk, API, and AI agent-initiated flows.
PEP relevancy score exceeds the threshold and transaction value is above a set limit, automatically route to manual review.
Resolve as rejected or route to manual review when a score exceeds the threshold.
Re-screen actors automatically as lists update. Notify, escalate, freeze, or flag for review.
Testimonials
Microblink was very easy to integrate and allowed us to move quickly without compromising on security or compliance.
The SDK gave us a strong plug-and-play starting point, and the Microblink team was highly responsive throughout testing and rollout.
Overall, it was a very smooth experience.
— Mathieu Hartvick
Instacart
Software Engineer and Project Lead
Banco Azteca was able to easily implement BlinkID across multiple mobile applications and use cases, whether users were trying to open a bank account or apply for a loan.
We couldn’t be more impressed with how agile and versatile it is, seamlessly integrating with our onboarding processes while delivering accurate, real-time results.
— Francisco León
Banco Azteca
IT Director
By integrating Microblink’s technology into our platform for automotive lenders across Mexico, we’ve been able to dramatically accelerate and optimize ID verification.
We’ve achieved a 98% success rate, making the entire KYC process faster, smoother, and more reliable for our business and our customers.
— Fabián Ramírez
Latin ID
Product owner
Microblink was very easy to integrate and allowed us to move quickly without compromising on security or compliance.
The SDK gave us a strong plug-and-play starting point, and the Microblink team was highly responsive throughout testing and rollout.
Overall, it was a very smooth experience.
— Mathieu Hartvick
Instacart
Software Engineer and Project Lead
Banco Azteca was able to easily implement BlinkID across multiple mobile applications and use cases, whether users were trying to open a bank account or apply for a loan.
We couldn’t be more impressed with how agile and versatile it is, seamlessly integrating with our onboarding processes while delivering accurate, real-time results.
— Francisco León
Banco Azteca
IT Director
By integrating Microblink’s technology into our platform for automotive lenders across Mexico, we’ve been able to dramatically accelerate and optimize ID verification.
We’ve achieved a 98% success rate, making the entire KYC process faster, smoother, and more reliable for our business and our customers.
— Fabián Ramírez
Latin ID
Product owner
Latest
See how watchlist screening works inside of the Identity Intelligence OS.
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