mkodo’s GeoLocs Unveils Fraud Shield for Automated iGaming Risk Detection

GeoLocs, the geolocation platform operated by mkodo, has rolled out Fraud Shield—a new tool focused on detecting and managing fraud risks for regulated iGaming operators. According to mkodo, this release is a response to increasingly complex tactics aimed at bypassing controls for account sharing, device manipulation and bonus exploitation within the online gambling sector.

Why GeoLocs Is Targeting Online Gambling Fraud Now

Fraud within online gaming has become more technically advanced, and operators are facing escalating threats. The release from mkodo refers to industry estimates that fraud drains the sector by roughly $1 billion per year. Will Whitehead, GeoLocs’ Commercial Director, commented that fraud teams must act fast while ensuring legitimate users are unaffected. The proliferation of methods—multi-accounting, device spoofing, promotion abuse and collusion—has complicated both detection and response.

"Fraud teams are under increasing pressure to move quickly while ensuring legitimate players aren't caught up in the process," said Will Whitehead, Commercial Director at GeoLocs.

Key Features of Fraud Shield: Automated Fraud Detection and Player Management

Fraud Shield leverages geolocation intelligence as part of the broader GeoLocs suite. mkodo states the tool is designed to flag and act against several fraudulent activities, including:

• Multi-accounting and account sharing
• Device and location spoofing (such as VPN usage)
• Bonus abuse and promotional exploitation
• Collusion between players
• Detection of jailbroken or compromised devices
• Abnormal or suspicious behavioural signals

The product is not just a flagging system. Operators can tailor the risk thresholds and build out automated response rules. This means that the reactions—such as investigating, monitoring, restricting or outright blocking an account—are customisable. Owen Compton, Senior Product Manager at GeoLocs, emphasised that the tool supports nuanced decisions based on configurable risk factors.

"Not every fraud event should be treated the same way," added Owen Compton, Senior Product Manager at GeoLocs. "We built Fraud Shield to give operators the intelligence and flexibility to make better risk decisions. Whether the right action is to investigate, monitor, restrict or block, operators remain firmly in control."

Automation and Flexibility: How Operators Use Fraud Shield

The central concept behind Fraud Shield is operator control combined with automation. mkodo claims operators can set their own risk and behaviour parameters. The platform then automates actions based on real-time signals:

1. Configure risk thresholds and alerting rules based on specific behaviours or fraud indicators.
2. Apply rule-based actions (such as automatic investigation or restriction) without manual intervention for each alert.
3. Dynamically monitor for ongoing fraud patterns, incorporating new threats as they emerge.

These controls are aimed at limiting manual review workloads and focusing fraud investigation teams where their time is most needed.

Fraud Shield in the Wider GeoLocs Suite

Fraud Shield is an extension of mkodo’s existing GeoLocs platform, which provides geolocation solutions for regulated gambling markets. By integrating geolocation with fraud detection, mkodo positions the product to help operators avoid losses tied to bonus abuse and manipulation schemes—a recurring challenge highlighted in industry regulatory updates and online casino operations.

GeoLocs’ positioning statement centres on the urgency for automated, flexible responses as threat actors evolve. While the current launch highlights tools for multi-accounting, device integrity and collusion detection, mkodo has not specified any immediate partnerships or deployment statistics with major operators at launch.

Industry Context: Losses, Compliance and Market Demand

With regulatory pressure mounting and fraudsters targeting ever-more sophisticated vectors, suppliers are expected to provide technology that both satisfies compliance obligations and limits financial exposure. The referenced $1 billion annual fraud figure places Fraud Shield alongside other recent attempts in the sector to automate player risk controls, while reducing unnecessary intervention in legitimate player journeys. For stakeholders in the B2B technology marketplace, products like Fraud Shield represent a continual shift toward automation and real-time risk analytics over legacy, manually driven systems.