Fraud detection

❝ We connect your businesses, customer vision, and strategy with a measurable fraud prevention approach that evolves with changing risk and threat environments. ❞

How can we help you?

Contact us at the consulting office nearest to you or submit a business inquiry online.

With the increase in number of sensors per machine, we had gathered lot of data and it needed to be churned. Mactores with their analytics experts in IoT did it for us. They have an excellent approach to look at the problem and solve them progressively and effectively. We were able to explore unimaginable insights and gained a lot and lowered our operational costs as well.

Mark Phillips
Senior General Manager, Manufacturing Company

Enterprises know that in today’s data-driven, highly distributed world, there are major threats that must be addressed head-on. Our Fraud detection and Security measures deliver an integrated system of analytics, real-time defences and proven experts, so you can make strategic decisions about how to safeguard your business from fraud.

At Mactores, we view the security landscape with a wide-angle lens to thoroughly understand the origins and distinctive features of attackers. Fraud, endpoint and data protection.Incident response.Security intelligence and analytics. They’re all part of a comprehensive approach using extensive research and detective work to pinpoint, outsmart and stop them.

Detect and Stop the advancing threat

Manage and secure your network and endpoints

 Monitor, protect and respond to threats from all your endpoints before, during and after an attack.

Identify and protect sensitive data

Protect & classify data sets with intelligent controls that monitor who is accessing that data and from where. Detect anomalies and look for subtle attack indicators using analytics.

Secure applications, network and endpoints

Analyze the security vulnerabilities of applications before they go into production. Enforce compliance, block threats and remediate with near-time visibility.

Prevent targeted attacks in real time

Armed with our advanced solutions, you’ll be able to detect threats faster and make informed decisions by correlating massive sets of data in real time.

Detect advanced threats with security intelligence

You can respond to breaches faster and actually stop sophisticated threats as they happen with big data analytics.

Defend against web fraud and cybercrime

Integration, visibility, and coordination across security domains are key elements in tackling advanced threats. They can also reduce costs and complexity.


Mitigate risk and improve performance

Our Fraud Consulting Services enable you to cut fraud losses, reduce operational costs, optimize your fraud prevention environment, and improve the overall customer experience.

Detect fraudulent activity

Process all data through advanced analytics models combined with rules engines in real time or batch. You’ll be able to detect previously unknown schemes using customized anomaly detection methods, and spot linked entities and crime rings to stem larger losses.

Increase operational efficiencies.

A robust fraud scoring engine greatly reduces false positives and prioritizes higher value networks for investigation. Advanced case management tools help streamline investigations and boost investigator efficiency.  In addition, the system captures the outcome of fraud investigations to fine-tune the detection analytics over time.

Consolidated view of fraud risk.

Identify cross-brand/product fraud by seeing all associated customer information across all lines of business. Continuously improve models and adapt the system as needed to address changes in fraud trends. Understand new threats and prevent substantial losses early using social network diagrams and sophisticated data mining techniques.

Stop fraud before losses occur.

Stop fraud in its tracks using online, real-time scoring or daily batch scoring. Identify repeat offenders and more accurately score incoming data by searching databases of known fraudsters. Uncover insider or collusive fraud by integrating staff data and audit records. And apply risk- and value-based scoring models to prioritize output for investigators.

Fraud detection framework

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