KROTON is a suite of AI modules built for compliance —slash false positives, uncover hidden networks

Complex illicit finance often hides in plain sight across numerous accounts and institutions. Link Miner applies powerful graph analytics to unveil hidden relationships in your data, giving you the “big picture” needed to catch sophisticated criminals . This module scours transaction data, customer records, and third-party databases to build a 360° network view, exposing how individuals and entities interconnect beyond what any one alert can show.

360-Degree View of Risk: Link Miner breaks down data silos by connecting internal data (transactions, accounts, CRM) with external intelligence (sanctions lists, corporate registries, news) . The result is a single contextual network of all relevant entities. Compliance officers get an entity-centric view of risk across the institution, rather than fragmented account-level alerts .
 

Uncover Hidden Associates: Through graph algorithms, Link Miner can reveal indirect relationships – for example, that two customers share a common third-party beneficiary, or that a business owner is linked to shell companies involved in past SARs. These insights help you identify networks of collusion, money mule rings, or ultimate beneficial owners (UBOs) that would be missed in isolation .
 

Visual Investigation Tools: The module presents findings with intuitive network graphs and link charts. Investigators can easily visualize complex webs of transactions and drill down on suspicious nodes. This visual approach accelerates understanding and is ideal for communicating cases (e.g., to regulators or law enforcement) with clear diagrams of how funds flowed through a network.
 

Scalable, Fast Analytics: Link Miner is built on big-data architecture, capable of analyzing millions of transactions and relationships in minutes. Whether you’re a large bank tracing cross-border layers or a fintech monitoring a growing user base, the system scales to provide timely results. Custom filters allow you to focus on specific risk factors (e.g., only links involving certain high-risk countries or entities) to refine your searches.
 

Investigation Spotlight: Using Link Miner, an EU bank uncovered a complex trade-based money laundering network spanning multiple countries. What started as a few suspicious trade finance transactions expanded into a discovered web of shell companies and freight-forwarders – all identified by Link Miner’s ability to connect dots across disparate datasets. The bank was able to report this network in a comprehensive SAR, earning positive feedback from regulators on the depth of analysis.

 Suspect Miner is KROTON’s advanced transaction monitoring module, combining rules-based controls with AI analytics for a multilayered defense  . It relentlessly scans transactions to detect truly suspicious activity while filtering out the noise. Using machine learning and an entity-centric approach , Suspect Miner learns normal behavior patterns and flags anomalies that traditional systems miss.

Reduce Alert Fatigue: Suspect Miner helps eliminate up to 66% of false positives by learning from past investigations . Fewer false alarms mean your team can focus on real threats, not trivial alerts.
 

Boost Detection Accuracy: The AI models uncover complex laundering patterns – including micro-structuring, loop transactions, and other hidden typologies – that purely rule-based systems often overlook . In a recent deployment, our active learning approach achieved a 98.4% true-positive alert rate , meaning almost every alert uncovered real risk.
 

Stay Ahead with Active Learning: Suspect Miner continuously improves by incorporating analyst feedback through active learning. It adapts to emerging schemes and new data, so you won’t fall behind evolving money laundering tactics . Your expert investigators’ knowledge is seamlessly fed back into the AI, creating a cycle of ever-smarter detection.
 

Fast & Explainable: Backed by transparent AI models, Suspect Miner ensures you can explain why an alert was flagged – vital for regulator confidence . It integrates with your case management to provide rich context (customer profiles, historical links) for each alert, accelerating investigations with clarity.

Real-World Impact: One global money transfer company used KROTON’s Suspect Miner to revamp its AML monitoring. The result was 98.4% true positives reported to the FIU.
 

Backlog Miner is the compliance team’s relief valve – an AI-powered alert management module that prioritizes and purges false positives at scale. Using advanced pattern recognition. It reviews your backlog of alerts (from transaction monitoring or sanctions screening) and automatically suppresses low-risk alerts that would otherwise clog your queue .

Intelligent Triage: Backlog Miner rapidly separates the signal from the noise. It can auto-clear up to 92% of irrelevant alerts based on risk-scoring models, so your investigators only see the alerts that truly merit attention. This dramatically cuts down the “noise” that plagues compliance teams .
 

Focus on What Matters: High-risk alerts are flagged and escalated immediately, ensuring urgent cases aren’t buried in a sea of false hits. By automating Level-1 analysis, Backlog Miner frees your analysts to concentrate on complex investigations that require human judgment .
 

Reduce Operational Costs: By shrinking alert volumes and handling repetitive triage tasks automatically, this module helps lower the cost of compliance operations . Teams have reported significant time savings and the ability to reallocate staff to proactive compliance work (such as improving controls and training) instead of endless alert clearing.
 

Seamless Integration: Backlog Miner plugs into your existing case management or alert management systems with ease. It works hand-in-hand with your legacy rule-based engines without requiring a system overhaul, augmenting their output with AI insights . You maintain full control – the AI’s decisions are transparent and can be reviewed or overridden as needed.

Case in Point: After deploying Backlog Miner, Akbank’s compliance department saw their daily alert volume drop from 500 alerts to <50 actionable cases. This 10x efficiency gain translated to thousands of man-hours saved per month and ensured critical SARs were filed faster – a win-win for compliance and business goals:

 Regulators often worry about “unknown unknowns” – new laundering techniques or risks that rules haven’t accounted for. Active Learner is KROTON’s answer: an AI module that uses adaptive learning to identify emerging and unknown patterns of suspicious activity in real time. It continuously scans data to find outliers and novel risk indicators, helping you stay ahead of criminals’ evolving methods .

Discover Hidden Typologies: Active Learner’s unsupervised machine learning models cluster transactions and entities to spot unusual patterns that don’t match known rules  . Whether it’s an unexpected network of transfers or a sudden spike in activity in a new corridor, this tool will surface it for review.
 

Real-Time Adaptation: As new risks are identified (e.g., a rise in cryptocurrency usage or a new sanctions evasion tactic), Active Learner adapts on the fly. It updates detection models without waiting for a lengthy rule development cycle, ensuring your monitoring is always up-to-date with the latest threat landscape .
 

Analyst-in-the-Loop AI: Through a user-friendly interface, compliance officers can review Active Learner’s findings and label which anomalies truly indicate risk. The system then learns from your input (hence “active learning”), improving its accuracy over time . This collaboration between human expertise and AI means the longer you use Active Learner, the smarter it gets at mirroring your risk priorities.
 

Enhance KYC & AML Programs: Active Learner doesn’t just improve transaction monitoring – it feeds insights into your broader AML/CFT program. For example, if a new pattern of behavior suggests a certain customer type is riskier than previously thought, you can update your customer risk scoring (KYC) accordingly. In this way, Active Learner helps keep your entire compliance program agile and data-driven.
 

Stay Ahead of the Curve: Our clients use Active Learner to proactively adjust controls before regulators even issue guidance on emerging risks. By identifying trends like new money mule patterns or novel trade-based money laundering schemes early ,  compliance teams can implement safeguards and demonstrate to auditors that they’re not just reacting – they’re anticipating the next threat.

 Meet your new AI-powered compliance co-pilot. H3MGPT is a specialized large language model (LLM) assistant trained on vast AML/CFT knowledge – think of it as an “AML genius bot” at your fingertips. From answering regulatory questions to helping draft suspicious activity report narratives, H3MGPT provides real-time guidance and insights to augment your compliance team’s capabilities .

On-Demand Expertise: Need a quick interpretation of the latest sanctions guidance or tips on how to handle an unusual customer scenario? H3MGPT can answer questions and provide explanations based on its training on regulatory texts (e.g., FATF guidelines, FinCEN advisories, MASAK directives) . It’s like having a seasoned compliance advisor available 24/7.
 

Enhanced Investigations: H3MGPT can summarize complex documents, such as lengthy adverse media articles or legal reports, helping analysts quickly glean key risk-relevant information. It can even suggest possible risk factors or connections for a given case based on patterns it has learned, ensuring no stone is unturned during an investigation.
 

Streamlined Reporting: Drafting SARs and reports can be time-consuming. H3MGPT assists by generating well-structured report drafts, checklists for due diligence, or even templates for responses to regulatory inquiries. Analysts review and refine the AI-generated content, dramatically cutting down documentation time while maintaining accuracy and thoroughness.
 

Continuous Learning: The assistant is updated regularly with new typologies and regulations, so its knowledge base grows alongside the evolving compliance landscape . Importantly, H3MGPT’s suggestions are accompanied by source references when applicable, so users can verify information – a critical feature for trust in an AI tool.
 

Analyst’s Best Friend: In a pilot at a multinational bank, compliance analysts using H3MGPT were able to complete KYC reviews and draft reports in 30% less time on average. Junior team members particularly benefited from on-demand access to guidance, leading to more consistent quality in alerts handling. The head of compliance remarked that H3MGPT “leveled up our less-experienced staff virtually overnight,” improving confidence that nothing was being missed.