ComplyAdvantage vs Unit21 vs Sardine: AML and Fraud Comparison

Compare ComplyAdvantage, Unit21 and Sardine for sanctions screening, transaction monitoring, fraud prevention, case management and compliance operations.

Reviewed and updated by FluidRWA · August 21, 2026

ComplyAdvantage vs Unit21 vs Sardine: AML and Fraud Comparison editorial infrastructure visual
Short answer

ComplyAdvantage is strongest for AML risk intelligence, sanctions and screening. Unit21 suits configurable fraud and AML operations with rules, cases and regulatory workflows. Sardine is compelling for real-time fraud, device intelligence, payments risk and AML in one platform.

Short Answer

ComplyAdvantage, Unit21 and Sardine solve overlapping financial-crime problems from different starting points.

  • ComplyAdvantage begins with AML intelligence: sanctions, PEPs, adverse media, screening and transaction monitoring.
  • Unit21 begins with configurable fraud and AML operations: rules, cases, investigations and regulatory workflows.
  • Sardine begins with real-time fraud and payments risk, combining device, behavioural, identity and transaction signals with AML tooling.

The right choice depends on whether the hardest problem is risk data, investigation operations or real-time fraud decisions.

Comparison Table

| Factor | ComplyAdvantage | Unit21 | Sardine | |---|---|---|---| | Natural buyer | Regulated firms prioritizing AML intelligence and screening | Fintechs needing configurable fraud and AML operations | Fintechs and payment firms combining fraud, device and AML signals | | Core strength | Sanctions, PEP, adverse media and AML risk data | Rules, cases, testing and regulatory workflow | Real-time fraud decisions and graph/device context | | Best implementation question | Does its risk intelligence fit our jurisdictions and risk appetite? | Can our team configure and govern rules without creating alert debt? | Do its signals cover our payment rails, devices and customer journeys? | | Watch-out | Data breadth still requires careful matching and review | Flexibility requires disciplined governance | Broad risk stack can overlap with existing tools |

ComplyAdvantage

ComplyAdvantage is a natural shortlist candidate when sanctions, politically exposed persons, adverse media and AML risk intelligence drive the purchasing decision. Its transaction-monitoring products connect risk data with ongoing activity and cases.

Good for: AML screening, payment screening, risk intelligence and organizations that need broad watchlist context.

Watch-outs: buyers should test transliteration, entity matching, list freshness, jurisdiction coverage and explainability using their real customer population.

Unit21

Unit21 emphasizes configurable transaction monitoring, fraud detection, case management and regulatory reporting. It supports prebuilt and custom rules, testing, graph logic and operational workflows.

Good for: fintech compliance teams that want to own rule design, investigations and case operations without building the entire platform internally.

Watch-outs: configurable systems can accumulate overlapping rules and excessive alerts. Establish change control, ownership and performance reviews before scale.

Sardine

Sardine combines fraud prevention, AML, onboarding and payments risk. Its platform uses transaction, identity, device and behavioural context, with graph intelligence and AI-assisted investigations.

Good for: real-time payment decisions, account-opening fraud, device-linked risk, scams and teams wanting fraud and AML context together.

Watch-outs: confirm signal availability in every country and payment rail. Buyers with existing device or identity tools should map overlap before buying the full stack.

Buyer Scenarios

Cross-border fintech focused on sanctions

Start with ComplyAdvantage and test matching quality against the business's actual names, scripts and jurisdictions.

Fintech modernizing investigations

Start with Unit21 when analysts need configurable rules, cases, graph logic, SAR workflows and historical testing.

Payment company fighting scams and account fraud

Start with Sardine when device, behaviour and payment context must produce a real-time decision before money moves.

What to Measure in a Proof of Concept

  • true-positive recall on known cases
  • false positives per thousand customers or transactions
  • time from alert to disposition
  • quality and explainability of evidence
  • entity resolution across accounts and devices
  • rule testing and deployment controls
  • data latency and system availability
  • case handoffs and audit trails
  • regulatory filing workflow
  • investigator productivity after training

Total Cost Is More Than Licence Price

Include implementation, data integration, sanctions or adverse-media datasets, analyst seats, transaction volume, model tuning, storage, reporting and internal review. A cheaper platform that doubles alert volume can cost more in practice.

Verdict

Choose ComplyAdvantage when AML intelligence and screening coverage are central, Unit21 when configurable detection and investigation operations are the priority, and Sardine when real-time fraud, devices, payments and AML need one risk context.

Primary Sources

FAQ

Which is better: ComplyAdvantage, Unit21 or Sardine?

ComplyAdvantage leads with AML intelligence and screening, Unit21 with configurable fraud and AML operations, and Sardine with real-time payments fraud, device intelligence and AML convergence.

Can one platform handle both fraud and AML?

Unit21 and Sardine explicitly combine fraud and AML workflows. Buyers still need to test whether the data, rules, cases and reporting satisfy each regulated entity and jurisdiction.

Which is best for sanctions screening?

ComplyAdvantage is a natural candidate because sanctions, PEP and adverse-media intelligence are central to its offering. Coverage and matching performance should be independently tested.

Which is best for fintech fraud?

Sardine is strong where device, behaviour, payment and identity signals must be combined in real time. Unit21 is strong when teams want configurable rules and case operations.

What creates false positives?

Poor thresholds, incomplete entity resolution, weak contextual data, broad rules and stale typologies can all produce unnecessary alerts.

What should a proof of concept measure?

Measure detection, false positives, investigator time, explainability, data latency, rule deployment, case quality and regulatory-report output.

Is pricing public?

Pricing is generally quote-based and depends on customers, transactions, modules, data and support. Compare total operating cost, not only licence cost.

Does software make a company compliant?

No. The regulated business remains responsible for risk assessment, governance, model validation, investigations, filings and ongoing oversight.

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