Sponsor Spotlight: DSTGAMING Explores Data Privacy and Fraud Prevention as Core Operational Priorities in iGaming

As discussions around compliance, operational security, AI, payments, and cross-border regulation took center stage at HIPTHER Baltics: Riga 2026, the topic of risk management remained closely tied to the future sustainability of the iGaming sector. We caught up with DSTGAMING – the event’s Lanyards Sponsor – to discuss how the industry is approaching data privacy, fraud prevention, and evolving operational risks in an increasingly complex digital environment.

As digital gaming platforms become increasingly data-driven, how has data privacy evolved within the iGaming industry over recent years?

Data privacy has become a much more central part of how iGaming businesses operate. As platforms handle larger volumes of player, transaction, and behavioural data, operators are expected to take a more structured approach to how that information is collected, stored, processed, and protected.

The industry has also moved beyond viewing privacy simply as a compliance requirement. It is increasingly connected to customer trust and the overall reputation of an operator. Players expect their personal and financial information to be handled responsibly, while operators need clear internal processes and appropriate technical safeguards to minimise exposure.

From a platform perspective, this means security and privacy need to be considered throughout the technology stack, from account management and payment integrations to data access and back-office systems. For technology providers such as DSTGAMING, maintaining strong security practices and supporting operators in meeting the requirements of their respective regulated markets is an important part of building sustainable iGaming infrastructure.

What are some of the most common operational or security risks online gaming operators face today across regulated markets?

Operators face a combination of cybersecurity, fraud, payment, and operational risks, and these can vary depending on the market in which they operate.

Account compromise, credential attacks, payment-related fraud, data breaches, and unauthorised access remain important concerns. Operators also need to consider system availability and resilience because even a short disruption can affect player activity, payments, and overall trust in the platform.

Another challenge is managing multiple third-party integrations. Modern iGaming operations rely on game providers, payment partners, identity and verification services, analytics tools, and other technology providers. Each integration adds value, but it also creates another point that needs to be monitored and secured.

This is why operators need to look at security holistically rather than focusing on one particular threat. Strong infrastructure, controlled access, reliable integrations, monitoring, and well-defined operational processes all contribute to a more resilient platform.

Fraud prevention has become a major focus across both gaming and fintech. What types of fraudulent activity are currently creating the biggest challenges for operators?

Fraud is becoming increasingly sophisticated, particularly as criminals combine automated tools with stolen or fabricated identities. Account takeover is one significant concern, where compromised credentials are used to access legitimate player accounts.

Payment fraud and bonus abuse are also ongoing challenges. Operators may encounter suspicious transactions, the use of compromised payment credentials, multiple accounts created to exploit promotional offers, or coordinated activity across different accounts.

Identity-related fraud is another area that requires attention, particularly in regulated markets where operators have strict Know Your Customer and anti-money laundering obligations.

The challenge is that fraudulent behaviour does not always look obviously suspicious at first. Effective prevention therefore requires operators to look at patterns across accounts, transactions, devices, and behaviour rather than relying on a single indicator. The ability to identify unusual activity early can make a significant difference in limiting potential losses.

How do companies balance strong security measures with maintaining a smooth, frictionless player experience?

The key is to make security as intelligent and proportionate as possible.

Players generally do not want to encounter unnecessary verification steps every time they log in, make a transaction, or interact with a platform. At the same time, operators cannot afford to compromise on security simply to reduce friction.

A better approach is risk-based security. Routine activity from a trusted user can remain relatively seamless, while unusual behaviour can trigger additional checks when necessary. This allows security measures to focus more attention where there is a genuine reason for concern.

Technology also plays an important role here. Automated monitoring and risk assessment can operate in the background, allowing operators to identify potential issues without creating unnecessary interruptions for legitimate users.

Ultimately, good security should feel almost invisible to the legitimate player while becoming increasingly difficult for suspicious activity to bypass.

In your view, how are AI, automation, and real-time monitoring technologies changing the way companies approach risk management and fraud detection?

AI and automation are shifting fraud prevention from a largely reactive process towards a more proactive one.

Traditional approaches often relied heavily on predefined rules. These remain useful, but modern platforms can analyse much larger volumes of activity and identify patterns that may be difficult to detect manually. AI-based systems can help identify anomalies across transactions, accounts, devices, and behavioural activity, while real-time monitoring allows potential risks to be assessed much closer to the moment they occur.

Automation also reduces the amount of repetitive work required from operational and security teams. Instead of manually reviewing every transaction or account, teams can prioritise cases that have been flagged based on risk indicators.

That said, AI should not be viewed as a replacement for human oversight. The strongest approach combines automated detection, reliable data, clearly defined risk controls, and experienced teams that can investigate and respond to more complex cases.

Looking ahead, which emerging risks or operational challenges do you believe the iGaming industry should be paying closer attention to over the next few years?

One area that deserves particular attention is the increasing sophistication of identity and social engineering attacks. As AI-generated content and automated tools become more accessible, distinguishing genuine users from sophisticated fraudulent activity may become more challenging.

Operators should also pay close attention to the security of their wider technology ecosystem. As platforms become increasingly interconnected, risks can emerge not only from an operator's own infrastructure but also through third-party services and integrations.

Another challenge will be maintaining consistent security and compliance standards as operators expand into different regulated markets. Each market can bring its own regulatory, payment, identity verification, and operational requirements, making scalability more complex.

Looking ahead, the companies that are best positioned will be those that treat risk management as an ongoing part of product and operational development rather than something added after the platform is built. Continuous monitoring, adaptable security controls, strong technology partnerships, and a culture of security will become increasingly important as the iGaming ecosystem continues to evolve.