Graph Intelligence Platform for Complex Data Environments. We deliver next-gen graph intelligence analytics by supplementing 'graph' with a supporting ecosystem
Cape Town, South Africa
Joined November 2018
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As regulatory standards increase in complexity, the need for robust monitoring & reporting strains limited resources. The task: process vast quantities of data, manage evolving risk indicators & ensure audit readiness, all while staying ahead of fraud & retaining customer trust.
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To remain competitive & compliant, you need to adopt smarter, more agile technologies that automate #Compliance, enhance visibility & reduce the operational burden. The time to adapt is now. Contact [email protected] today.
Securing Africa’s financial future
#FraudPrevention
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#RegulatoryCompliance isn’t optional, it’s essential to maintaining trust, stability & competitive relevance. As regulations evolve to address financial crime, data privacy & systemic risk, it's your responsibility to demonstrate transparency, accountability & control.
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In Africa’s fast-changing financial landscape, where digital innovation & cross-border activity are rising, proactive compliance isn’t just a cost of doing business it’s a strategic imperative.
To lead the pack, contact [email protected].
Securing Africa’s financial future
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Mule a/c & a/c takeover fraud are on the rise, especially in Africa’s expanding digital banking ecosystem. Mule a/cs, used to launder stolen funds, & ATO, where fraudsters gain control of legitimate a/cs, fuel complex networks that are difficult to detect with traditional tools.
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Typically, these schemes involve multiple accounts, transactions & cross-border movements, which static rule-based systems miss. A graph-based solution is essential to uncover these hidden connections, patterns & relationships.
#FraudPrevention #AML #CFT #Compliance #Innovation
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Agent banking commission fraud is an emerging threat in Africa’s growing banking sector. Agents manipulate transactions, e.g. fabricating or splitting them, to inflate commission. Decentralised agent banking, combined with limited oversight & cash-based economies, makes it easy.
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The solution? Strengthen transaction monitoring & implement robust, fraud-aware analytics to prevent these activities before they erode trust & financial stability. To see how we solve this contact [email protected].
Securing Africa’s financial future
#FraudPrevention
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Fraud, an African context
Banking fraud in Africa is a complex, evolving challenge shaped by the continent’s unique socio-economic landscape. The rapid digitalisation of financial services for large unbanked populations creates fertile ground for illicit activities. #Innovation
Sophisticated cyber criminals exploit technology gaps, while traditional fraud schemes like account takeover, social engineering & insider collusion remain prevalent. Emerging trends, e.g. mobile money fraud, further complicate the picture. #FraudPrevention #AML #CFT #Compliance
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Rules-based tools & siloed systems can’t keep up with the complexity of transactional environments combined with sophisticated criminal activities & growing regulatory requirements. It’s time to embrace connected, intelligent & context-aware solutions that solve your headaches.
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AML isn’t just an endgame
With stricter regulations & financial crime rising, think beyond #Compliance to smarter, faster & safer customer journeys. Contact [email protected] for a demo.
#Innovation #CFT #FraudPrevention #RiskManagement #OperationalResilience #RegTech
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Your recipe for AML success! Now garnish
No plate is truly complete without its garnish. We add that critical layer by integrating AML analytics into CDD — combining the basics with deeper intelligence.
#GraphIntelligence #AML #CFT #CDD #Compliance #Innovation #FraudPrevention
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Smarter tools. Sharper insights: While CDD gives foundational customer data, AML analytics applies ML, graph analytics & behaviour modelling to detect hidden patterns, anomalies & risks that rule-based systems miss. Ready for the full platter? Contact [email protected].
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Your recipe for AML success! Step 4: Cooked to perfection every time
Key to embedding AI into #AML workflows is ML operationalisation: deploying, managing & monitoring models at scale. Essentials to get right: explainability, auditability, continuous learning & ML Ops readiness.
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But don’t stress about that, our AML solution allows you to build, test & operationalise ML models easily & efficiently. When operationalised effectively, AI-first AML systems don’t just detect more they adapt faster, explain better & scale smarter. #GraphIntelligence #Innovation
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Your recipe for AML success! Step 3: Adding the secret ingredient
Traditional rules-based systems often miss the subtle, non-linear patterns in money laundering. However, our secret AI ingredient, graph analytics & anomaly detection, opens up a new frontier. #GraphIntelligence
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Money laundering rarely occurs in isolation. It flows through networks of accounts, customers and entities. Graph models capture these relationships, highlighting hidden intermediaries, complex layering structures & previously undetected rings. #Innovation #FraudPrevention #AML
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Step 2: Bringing the ingredients together
A rules-based approach to #AML lacks context: transaction-level analysis is just one ingredient. Context-rich data comes from understanding customer behaviour over time, channel usage, peer comparisons & external watchlists. #Innovation
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Your recipe for AML success! Step 1: Prep your ingredients
For AI to thrive, preparation is key. Addressing data quality, governance issues & explainability frameworks increases accuracy & detection: Data readiness; label creation; risk scoring.
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Heard the tale of the blind men & the elephant? One touches the tail & thinks it’s a rope, the other, the skin & claims it’s a crocodile, the trunk a snake & so on. The point is if you see your data in isolation, or from a fixed perspective, it doesn’t paint a true picture.
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AML detection is moving beyond static rules to dynamic & context-aware AI based solutions, which include behavioural analytics. By building individual customer profiles, activities are monitored in real-time to detect deviations from the norm.
#FraudPrevention #AML #CFT
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Shift the dial from a limited 2D perspective to a 4D, real-time picture to uncover hidden risks, reduce false positives & act faster with greater confidence. If you’re ready to see the full picture, contact [email protected] for a demo.
#GraphIntelligence #Innovation
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The greatest rivalry of all time is about to take centre stage!
When the stakes are high, clarity matters. Whether you’re on the field or navigating complex decisions, seeing the bigger picture can make all the difference.
Don’t just watch the moment unfold. Understand it.
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Start your empowerment journey today!
Contact [email protected] for a demo.
Locstat: Exceeding expectations
#GraphIntelligence #Innovation #RiskManagement #OperationalResilience #AML #CFT #FraudPrevention #Compliance
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Request: Our client needed behavioural analytics to assist with their CFT/AML strategy. Behavioural analytics creates a baseline profile for each customer & a/c. By measuring transaction speed, size & frequency against past data, it spots sudden shifts, hidden links & anomalies.
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Its increased accuracy also reduces false alarms, which saves time for compliance teams. Delivered: Behavioural analytics is built in to our #GraphIntelligence platform. Behaviour monitoring tracks all customer transactions & updates user risk scores instantly as habits change.
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Challenge: Static pre-configured rules, vendor reliance, expensive consultants & increasing fraud loss inhibited our client from deploying a responsive system against fraud, risk & regulatory compliance. Solution: We listened: a low/no code solution to enable self-sufficiency.
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No hard coded rules, no advanced tech skills required for complex, next gen technologies, no expensive consultants &, more importantly, no delays in adapting to changing requirements. With our #GraphIntelligence platform, you can configure & deploy rules in real-time.#Innovation
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Request: The ability to operationalise ML models provides greater control, agility & regulatory defensibility than relying solely on vendor-managed detection logic. Our client could then rapidly respond to emerging threats while maintaining full ownership of their risk strategy.
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Delivered: Our #GraphIntelligence platform enables quick, easy deployment of ML models, operationalising outputs into existing workflows. Combining ML models with graph algorithms & rules enabled rapid responses to new regulatory standards & emerging criminal typologies.
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Automated and auditable
Challenge: Keeping up with regulatory requirements was unnecessarily demanding for our client. Fragmented data made it difficult to collect information and hid the full picture of customer transactions and risk. The use of spreadsheets and outdated manual processes resulted in too many human errors and delayed reporting. While frequent regulation changes caused further compliance breaches. Additionally, auditing was overly time consuming and strained resources. All of which resulted in high costs with too much time and money spent on compliance.
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Solution: Using our graph intelligence platform, data from all their systems was ingested to provide a holistic risk view. This was crucial in identifying, for example, sophisticated money laundering schemes where multi-layered networks hide and operate. With a complete auditable, relationship map highlighting complex patterns and anomalies, real-time fraud detection meant reduced losses and timeous reporting. Automation further reduced operational overheads and increased productivity. And, as regulations changed, they were able to adapt and update rules or models without having to wait for us to do it.
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