Reduce false positives from your adverse media checks
Reduce false positives from your adverse media checks
Arva’s enterprise-grade Adverse Media Screening engine uses contextual AI to identify, classify, and triage adverse news across sources — reducing false positives by up to 92% and accelerating decision-making for compliance teams.
Arva’s enterprise-grade Adverse Media Screening engine uses contextual AI to identify, classify, and triage adverse news across sources — reducing false positives by up to 92% and accelerating decision-making for compliance teams.
Reduce false positives from your adverse media checks
Arva’s enterprise-grade Adverse Media Screening engine uses contextual AI to identify, classify, and triage adverse news across sources — reducing false positives by up to 92% and accelerating decision-making for compliance teams.
Screening AI
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Scanning global watchlists…

ComplyAdvantage
#Alert
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Completed
Screening AI
01 of 04
Scanning global watchlists…

ComplyAdvantage
#Alert
0%
0%
Completed
Screening AI
01 of 04
Scanning global watchlists…

ComplyAdvantage
#Alert
0%
0%
Completed
Featured in
Featured in
Featured in
Key features
Key features
AI-Powered Filtering for False Postives
Trained on thousands of historical decisions, Arva reduces noise and flags only genuinely adverse media.
AI-Powered Filtering for False Postives
Trained on thousands of historical decisions, Arva reduces noise and flags only genuinely adverse media.
Contextual Summaries
Each article is auto-tagged with a proposed verdict (e.g. Reject, Discount, Review) and a plain-language summary, accelerating analyst triage.
Contextual Summaries
Each article is auto-tagged with a proposed verdict (e.g. Reject, Discount, Review) and a plain-language summary, accelerating analyst triage.
Multi-Source Screening
Arva ingests data from global web search, public records, compliance databases, and structured risk feeds, including ComplyAdvantage and World-Check.
Multi-Source Screening
Arva ingests data from global web search, public records, compliance databases, and structured risk feeds, including ComplyAdvantage and World-Check.
Analyst-in-the-Loop
Every analyst override further enhances the AI through reinforcement learning, creating a continuously improving risk engine.
Analyst-in-the-Loop
Every analyst override further enhances the AI through reinforcement learning, creating a continuously improving risk engine.
AI Verdict Suggestions
Profile-level verdicts on work, education and family history where Al enrichments are used to give recommended decisions.
AI Verdict Suggestions
Profile-level verdicts on work, education and family history where Al enrichments are used to give recommended decisions.
Hit Profile Enrichment
Hits are enriched with more info via deep research to create a broader hit profile, which enables human-analyst-like thinking, and far superior discounting.
Hit Profile Enrichment
Hits are enriched with more info via deep research to create a broader hit profile, which enables human-analyst-like thinking, and far superior discounting.
“Arva has fundamentally transformed our approach to risk. Their AI helps our team distinguish between noise and true reputational exposure — all while maintaining full auditability.”
— Director of Financial Crime, Global Retail Bank
“Arva has fundamentally transformed our approach to risk. Their AI helps our team distinguish between noise and true reputational exposure — all while maintaining full auditability.”
— Director of Financial Crime, Global Retail Bank
“Arva has fundamentally transformed our approach to risk. Their AI helps our team distinguish between noise and true reputational exposure — all while maintaining full auditability.”
— Director of Financial Crime, Global Retail Bank
Leaders in AI model risk governance
Leaders in AI model risk governance
Transparent Model Governance Framework
Clear and certified documentation ensuring regulators and customers understand AI decisioning
Independent Validation & Benchmarking
External testing and auditing against industry standards highlight strengths, expose weaknesses, and drives trust
Continuous Monitoring & Drift Detection
Ongoing evaluation pipelines catch performance degradation early, ensuring models remain robust
Human-in-the-Loop Learning
HIL input with reinforcement learning, ensuring trust is built before automation
Transparent Model Governance Framework
Clear and certified documentation ensuring regulators and customers understand AI decisioning
Independent Validation & Benchmarking
External testing and auditing against industry standards highlight strengths, expose weaknesses, and drives trust
Continuous Monitoring & Drift Detection
Ongoing evaluation pipelines catch performance degradation early, ensuring models remain robust
Human-in-the-Loop Learning
HIL input with reinforcement learning, ensuring trust is built before automation
Transparent Model Governance Framework
Clear documentation ensures regulators, customers, and stakeholders understand how AI decisions are made.
Continuous Monitoring & Drift Detection
Ongoing evaluation pipelines catch performance degradation early, ensuring models remain reliable in dynamic real-world environments.
Human-in-the-Loop Risk Controls
Expert oversight and layered validation safeguard against errors, blending machine efficiency with human judgment.
Independent Validation & Benchmarking
External-grade testing and comparison against industry standards highlight strengths, expose weaknesses, and drive trust.
Automate 92% of your financial crime reviews with Arva AI
Power your AML financial crime compliance with an enterprise AI workforce
Automate 92% of your financial crime reviews with Arva AI
Power your AML financial crime compliance with an enterprise AI workforce
Automate 92% of your financial crime reviews with Arva AI
Power your AML financial crime compliance with an enterprise AI workforce