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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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

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Featured in

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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

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