Launching an AI-Powered Adverse Media Risk Profile API for KYC/KYB Compliance
Release date: October 2025
We’re announcing the launch of a new Adverse Media Risk Profile API designed for Know Your Customer (KYC) and Know Your Business (KYB) compliance platforms. This API automatically scans and links global news articles over multiple years using AI-driven natural language processing (NLP). The result is a structured JSON risk profile that compliance teams and developers can integrate directly into their workflows.
Our small team built this solution with custom NLP pipelines to achieve high accuracy and scalability, aiming to address the pain points of adverse media screening in a developer-friendly way. Ultimately, the goal is to let organizations programmatically build an accurate customer risk profile from news data, reducing noise and giving compliance analysts clearer insight.
The challenge: adverse media screening and false positives
Adverse media (negative news) screening is a critical part of due diligence for financial institutions and regulators increasingly expect continuous monitoring. Traditional workflows are manual and don’t scale: analysts must search many sources by hand, which leads to data overload and a high volume of false positives.
False positives — unrelated hits that look alarming — are especially common when a client has a common name. Legacy keyword searches can return hundreds of unrelated articles, forcing teams to investigate noisy results. Industry analyses report false positive rates as high as 90%+ for naive systems, which wastes analyst time and increases the risk of missing real threats buried in the noise.
Our approach: smarter AI pipelines
We built a multi-stage pipeline focused on precision and provenance:
- Entity extraction & resolution — the system extracts named entities and resolves aliases so that variants like “Jon Doe”, “Jonathan Doe” and local-language spellings are linked as the same real-world person.
- Risk event detection & timeline building — we detect risk-relevant events (arrests, fines, allegations) and stitch them into chronological timelines so new alerts arrive with context rather than in isolation.
- Cross-source deduplication — content fingerprinting and clustering collapse duplicate reports across publishers so analysts see one consolidated incident with multiple sources rather than dozens of identical alerts.
- Provenance & auditability — every returned profile contains source citations (publication, date, URL) so findings are verifiable for audit and review.
Key innovations & features
- Alias unification: merges name variations and multilingual aliases to avoid fragmented profiles.
- Risk timeline tracking: a long-term chronological view of adverse events, useful for regulatory monitoring and context-aware decisioning.
- Cross-publisher deduplication: groups identical incidents reported by multiple outlets into single events.
- Provenance & source context: links to original articles for verification and audit trails.
- High-precision matching: context-driven matching (birth dates, locations, co-entities) to reduce false positives.
- Structured JSON output: developer-friendly schema with entity, events, sources, and metadata.
Developer-first integration
The API is RESTful and JSON-first, with an OpenAPI specification and sample code to help engineers get started quickly. Key integration features include webhook notifications for real-time monitoring, and planned SDKs (Python and JavaScript initially) to simplify adoption.
Our design goal was straightforward: make adverse media screening easy to integrate. You can call the API from onboarding workflows, trigger background checks, or subscribe to webhooks to receive updates when a monitored profile changes.
Reducing false positives, improving clarity
By combining entity resolution, context-aware matching, and deduplication, we reduce noise and improve signal-to-noise for compliance teams. Fewer false positives means analysts spend time on real risks, not chasing unrelated hits. Early testing indicates significantly better precision than naive name-based searches, while capturing more true positives thanks to alias linking and cross-source aggregation.
Availability and what’s next
The Adverse Media Risk Profile API is live. We offer a demo sandbox and a free tier for evaluation — sign up on the landing page to try it. In the coming months we’ll release SDKs, extend webhook functionality, and explore lightweight dashboards and partner integrations.
Try it
Request a sandbox API key on the homepage, then call /api/bulk-data with your registered email as the API key header to fetch sample profiles. For enterprise or integration enquiries, contact hr@satyapan.xyz or book a meeting.