Anti-Money Laundering Airtight compliance, without the noise

Mitigate risks more effectively—even in your blind spots. With explainable AI at its core, Hawk's AML solution increases coverage, identifying threats your current technology misses, while also reducing false positives. It boosts investigation speed and quality with clear, auditable rationale for every alert.
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Hawk's Solution

Comprehensive AML Platform Meet AML obligations today and in the future

Money launderers move with speed, scale, and sophistication, but most AML solutions can’t keep up. This leaves institutions exposed to true threats and regulatory risk as false positives slip through, putting pressure on costs and morale.  AI is delivering results, enabling FIs to strengthen their defenses to a standard that is quickly becoming the norm. Hawk's AI-native anti-money laundering (AML) technology is proven to pinpoint laundering other platforms miss while keeping false positives at bay. With customer due diligence, watchlist screening, and transaction monitoring all in one place, you gain a unified view of risk that drives faster, more accurate decisions—without compromising compliance.

The Hawk Difference Discover how Hawk raises the bar for efficient anti-money laundering compliance

The Traditional Way

  • Detection logic that misses nuanced risks and floods your teams with false positives
  • Heavy reliance on vendor services to build and adjust rules, slowing response times and limiting control
  • AI retrofitted to legacy systems, limiting functionality and impact
  • Batch-based detection that flags money laundering months after it happened
  • Offline testing environment that leads to stale models
  • Difficult to understand AI and outdated interfaces that bring confusion and slow investigations
  • Disjointed AML and KYC systems that fragment data and obscure the full customer risk picture
  • Limited deployment flexibility creating a less than ideal set up

The Hawk Way

  • Explainable, precision-built AI detection models that surface more suspicious activity with fewer false positives
  • Agile, self-serve rule configuration and sandbox testing so you can adapt detection in minutes, not months
  • AI-native solution ensuring higher performance
  • Real-time detection with the optionality to stop suspicious activity as it occurs
  • Production simulation with live data for precision model development
  • Human-understandable model explanations that reduce investigation time and strengthen regulatory defensibility
  • Unified KYC, screening, and transaction monitoring in one platform, delivering a complete, contextual view of risk
  • Flexibility to deploy your way with SaaS, VPC, and on-prem options

AML Product Suite AI-powered compliance software that shields your institution from risk with precision

Customer Risk Rating

Maintain due diligence throughout the customer lifecycle using dynamic and static data to maximize risk coverage
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Customer Screening

Screen against global sanctions lists, watchlists, politically exposed persons (PEP) lists, and adverse media databases
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Payment Screening

Screen payments to identify and prevent suspicious transactions, using powerful matching technology
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Transaction Monitoring

Increase risk coverage and reduce false positives, with the option of explainable AI to significantly increase performance
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AML AI Overlay

Gain the efficiency and effectiveness of tailored AML detection without replacing existing systems and lengthy development cycles
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Analytics Studio

Streamline the entire AI lifecycle with self-service, regulator-ready model development that eliminates technical bottlenecks and documentation burdens
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Alert & Case Management

Get a holistic view of your alerts and maximize efficiency with a unified case manager
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SAR / CTR Filing

Accelerate your SAR process from detection to submission, without compromising on narrative quality
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Entity Risk Detection

Gain a clearer understanding of customers and networks to increase the effectiveness and efficiency of your risk detection and investigations
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Use Cases

Stop known and emerging money laundering threats with AI precision

Hawk's AML Solution

Known money laundering threats

Surface classic money laundering patterns—like structuring and rapid movement of funds: 
  • Flexible rule templates can be configured to capture typologies relevant to your business
  • Integration with Scorechain allows monitoring of on-chain crypto transactions
  • False positive reduction models cut unnecessary noise, allowing a rules safety net without the downside
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Sanctions Evasion and Trade of Restricted Goods

Illicit Activity

Spot criminal activity including tax evasion, sanctions evasion, and trade of restricted goods: ​ 
  • Day one defense AI models identify typical criminal activity
  • Customer and payment screening protect your institution from shady activity, looking for risky key words that could expose you to more than just sanctions risk
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Entity Risk Detection

Complex Money Movement

Don’t let network activity prevent you from following the money trail:​ 
  • Entity risk detection identifies relationships between entities to give you a bigger picture of what is going on
  • Network detection and visualization pinpoints complex money movement patterns
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Hawk's Solution

Mules Networks

Pinpoint mules, witting and unwitting, moving dirty money through your accounts​: 
  • Behavioral analytics flag accounts with high volumes of incoming funds from disparate sources
  • AI analytics identify skimming or commissions on mule activities
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Hawk's AI

Anomalous Behavior

Catch suspicious behaviors and risks you don’t know you have: 
  • Semi-supervised anomaly detection contextualizes transactional activity to pinpoint abnormal behavior
  • Model explanations accelerate investigations, clearly telling investigators why ‘suspicious’ activity is actually suspicious
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Quotes

Learn why forward-thinking Risk & AML leaders choose Hawk

  • Hawk's highly customizable SaaS solution and modern case management interface empowered us to adopt a more efficient approach to combating financial crime.

    Horst Gottsnahm, Chief Risk Officer, VakıfBank

  • Hawk provides reasoning behind each flagged alert, which does most of the heavy lifting for our compliance team. Instead of being reactive, we are now proactive.

    Deepak Baran, Head of Financial Technology, Vodafone Fiji

  • Hawk's innovation is ahead of the competition.

    The Forrester Wave™: Anti-Money Laundering Solutions, Q2 2025

  • The Hawk team demonstrated technology leadership and willingness to work closely with us to hit ambitious goals.

    Mirko Krauel, CEO, OTTO Payments

  • If you’re looking for a partner who truly understands the regulatory space, listens to what you need, moves fast, and actually delivers – go with Hawk. The tech is strong, the people are great, and honestly, it just works.

    Denny Axt, Director of Compliance & AML, Ratepay

  • Hawk doesn’t just offer AI — it delivers it in production. Rather than simply providing algorithms, the company fully operationalizes AI[...] to deploy it efficiently and at scale.

    Chuck Subrt, Datos Insights
Agentic Whitepaper
Whitepaper

Agentic AI: A Practical Guide for Anti-Financial Crime and Compliance Leaders

How is agentic AI changing the way that financial crime and compliance teams work? Our latest whitepaper provides you with 50 pages of insight on the best use cases for agentic AI, covering:   
  • Improving investigations
  • Enhancing system accuracy
  • Optimizing workflows 
Get your copy

Awards & Recognition Leading the industry forward

Learn how Hawk's AI-fueled technology is driving the future of AML detection, according to analysts and industry experts
Hawk Strong Performer in Forrester Wave Report

Hawk Recognized as a Strong Performer in Anti-Money Laundering Solutions Report

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Hawk Wins Real-Time Monitoring Award

Hawk Recognized by Chartis for Real-Time Transaction Monitoring

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Hawk Recognized by Datos Insights

Hawk Recognized for AML Transaction Monitoring Innovation by Datos Insights

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Agentic AI Callout 2
Agentic AI

Introducing: The AML Investigative Agent

Instantly scale your AML operations with Agentic AI and boost the efficiency of your investigations
Learn more
Industries

Aligned to your risk appetite, built for your industry

Focus on what matters with AML detection calibrated to your risk profile and industry context
Rushhour

Banking AI-powered compliance for the modern banking sector

Modernize your compliance program with AI-driven detection that increases precision while maintaining compliance with regulations, such as the US BSA-AML regulations, the EU Money Laundering Directives, and the UK Proceeds of Crime Act 
  • Unify CDD, screening, and transaction monitoring in one, efficient platform
  • Reduce false positives upwards of 70% so you can focus on truly suspicious activity
  • Streamline case investigations and reporting, reducing manual effort and time to SAR filing
  • Improve auditability and regulatory defensibility with explainable AI 
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Monitoring mobile crypto payment for AML compliance

Payments A rail-agnostic AML solution that scales with your business

Move fast and stay compliant, scaling your AML program with payment volumes and product growth 
  • Detect and block suspicious transactions in <150ms average without disrupting payment flows
  • Apply adaptive monitoring that scales as transaction volumes spike
  • Reduce operational load with precision alerts that minimize unnecessary reviews
  • Support embedded compliance for white-label and partnership models 
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Business Call

FinTech The AML toolbox for fast-growing FinTechs

Tackle your compliance needs with an all-in-one AML solution that’s regulator trusted and scales with growth—from start up to global operations 
  • Dynamically risk score and monitor customers both at onboarding and on an ongoing basis
  • Enable rapid product innovation, quickly adapting your compliance set up with low-code rule configuration and sandbox testing
  • Meet regulatory scrutiny without heavy compliance overhead with pre-built workflows, AI explanations, audit trails, and end-to-end governance
  • Support embedded compliance for white-label and partnership models 
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Monitoring peer to peer crypto transactions for AML compliance

Crypto Blockchain monitoring for crypto platforms

Stay compliant and secure with an all-in-one solution built for the regulatory scrutiny of digital assets—monitoring on-chain activities of platform from early-stage exchange to global protocol. 
  • Dynamically risk score customers, wallets, and counterparties with on-chain and off-chain intelligence
  • Enable rapid product innovation: Launch new tokens, exchanges, and features at speed with flexible, low-code compliance controls
  • Meet global crypto regulatory expectations without heavy operational overhead with pre-built workflows, AI explanations, audit trails, and end-to-end governance
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Running

Marketplaces Comprehensive compliance for modern marketplaces

Don’t let your company become a vehicle for money laundering. Protect your users and business, monitoring trades and seller payouts for sanctioned, illicit, and suspicious activity 
  • Better understand the risk of customers and merchants alike to prevent misuse by bad actors
  • Block sanctioned users and accounts in real time
  • Use behavioral analytics to spot hidden risk patterns (e.g., collusion, structuring)
  • Make clear, auditable decisions to build trust with partners, banks, and regulators
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Articles & Resources The latest from Hawk

Robert Schmuck Agentic AI

Agentic AI for AML: The Investigative Process Before and After AI Agents

Discover how Agentic AI helps financial institutions streamline the AML investigative process through data collection, case categorization, and the automated crafting of a SAR narrative.
Chartis Report Path to AI Banks

New Report: Financial Crime Compliance Enters New Era — Banks Scale AI for Results in Accuracy and Operational Efficiency

Read about AI-enabled compliance in the new industry report by Hawk and Chartis.
Top 10 AML Challenges for Banks

The Top 10 AML Challenges for Banks

From our recent research with Celent: read about the top challenges faced by banks when it comes to ensuring AML compliance and how those challenges can be overcome.

Related solutions Explore Hawk's Integrated AML & CFT Suite

 Customer Risk Rating 🔹 Customer Screening🔹 Payment ScreeningTransaction Monitoring 🔹 AML AI Overlay  🔹 Entity Risk DetectionFRAML

Frequently Asked Questions Want to know more?

AML (Anti-Money Laundering) compliance software is a specialized technology solution used by financial institutions, fintechs, and regulated entities to automate the detection, prevention, and reporting of money laundering activities. Unlike manual oversight, which is prone to human error, an automated AML solution acts as a digital safeguard that monitors vast amounts of data in real-time to ensure alignment with global regulatory standards like the Bank Secrecy Act (BSA) and FATF recommendations.Modern AML compliance software typically integrates several core functions into a single platform:
  • Transaction Monitoring: Analyzing customer behavior to identify suspicious patterns or "red flags."
  • Sanctions & Watchlist Screening: Checking individuals against global databases of PEPs (Politically Exposed Persons) and sanctioned entities.
  • Customer Due Diligence (CDD): Automating the risk assessment of customers during onboarding and throughout their lifecycle (pKYC).
  • Regulatory Reporting: Streamlining the filing of Suspicious Activity Reports (SARs) with financial intelligence units.
By leveraging AI and Machine Learning, advanced AML platforms reduce "noise" by filtering out false positives, allowing compliance teams to focus their resources on genuine financial crime threats.

Traditional AML systems rely on "if-then" rules that act like blunt instruments—for example, flagging every transaction over $10,000. This leads to a "false positive" rate as high as 95%, burying analysts in harmless alerts. An AI-powered platform reduces this noise (often by 70% or more) through several advanced layers:
  • Behavioral Profiling: Instead of a static threshold, the AI creates a "unique normal" for every customer. If a business consistently moves large sums, the AI learns this is standard behavior and won't trigger an alert, even if a basic rule is technically "broken."
  • Contextual Risk Scoring: The AI doesn't look at a transaction in a vacuum. It simultaneously analyzes the customer’s risk level, geographic location, device data, and historical patterns. It essentially asks, "Does this transaction make sense for this person at this time?"
  • Intelligent Alert Triage: Advanced platforms use "AI Overlays" to automatically review alerts generated by legacy systems. The AI acts as a digital first-responder, clearing obvious false matches (like common names that aren't on a sanctions list) so humans only see the high-risk cases.
  • Dynamic Learning: As compliance analysts mark alerts as "true" or "false," the machine learning model evolves. It remembers those decisions and applies that logic to future transactions, ensuring the system becomes more accurate every day.

The primary difference between legacy AML systems and automated AML solutions lies in intelligence and speed. Legacy systems are typically "rule-based," meaning they follow rigid, "if-then" logic (e.g., Flag any transaction over $10,000). While this meets basic regulatory requirements, it lacks the context of modern financial crime.An automated, AI-native AML platform evolves beyond simple rules by using machine learning to understand "normal" behavior for every individual customer.FeatureLegacy AML SystemsAutomated AI-Native AMLDetection LogicStatic, threshold-based rules.Dynamic behavioral profiling.False Positive RateVery high (often 95%+).Low (reduced by 60-80%).Data ProcessingBatch processing (delayed).Real-time monitoring & alerts.ScalabilityRequires more headcount as volume grows.Scales via automation and AI triaging.Risk CoverageMisses complex "below-the-radar" patterns.Detects hidden anomalies and "mule" activity.By moving to an automated AML solution, financial institutions transition from a "reactive" posture—where analysts are buried in manual data entry—to a "proactive" strategy centered on high-risk investigation and true financial crime prevention.

Financial institutions operate under a complex web of international and domestic regulations designed to protect the global financial system. Modern end-to-end AML platforms provide the technological framework necessary to adhere to these high-stakes requirements, including: 
  • FATF 40 Recommendations: As the global benchmark for AML/CFT, the Financial Action Task Force (FATF) mandates a Risk-Based Approach (RBA). AML platforms enable institutions to move beyond "check-the-box" compliance by using data-driven risk scoring to identify, assess, and understand the specific money laundering and terrorist financing risks they face.
  • The Bank Secrecy Act (BSA): In the United States, the BSA (and the subsequent USA PATRIOT Act) requires institutions to assist government agencies in detecting and preventing money laundering. Automated platforms facilitate the "five pillars" of a BSA program—specifically internal controls and customer due diligence (CDD)—by automating the filing of Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs).
  • EU 6AMLD (Sixth Anti-Money Laundering Directive): This directive harmonizes the definition of money laundering across the EU, expanding it to 22 "predicate offenses" including cybercrime and environmental crime. AML platforms allow institutions to implement the stricter methodological requirements and enhanced due diligence (EDD) mandated by 6AMLD, ensuring that all potential criminal origins of funds are monitored.
  • Explainability for Regulators: Modern standards increasingly require "Explainable AI" (XAI). Regulators now expect institutions to not only detect suspicious activity but to clearly document the logic behind an alert. Advanced platforms provide transparent audit trails that show examiners exactly why a specific risk score was assigned or why a transaction was flagged.
  • Ongoing Monitoring & Sanctions: Regulatory alignment requires continuous screening against global watchlists (such as OFAC or UN sanctions). AML platforms automate this process, ensuring that if a customer’s status changes anywhere in the world, the institution can respond in real-time to meet its legal obligations.

Request a demo Stop 2X more threats with 50% less effort with Hawk

Request a demo with one of our product experts and find out if Hawk meets your business needs.During the demo process you'll touch on Hawk's:
  • API infrastructure and data integration capabilities
  • Modular design and flexible multi-tenant set up
  • No-code rule builder, AI feature library, and model explanations
  • Any further questions you may have