For a long time, digital transformation was measured by speed. How quickly a company launches new features, integrates new tools, scales its product. System resilience remained somewhere in the background, a topic for the technical team rather than for business strategy.
But what happens when that speed suddenly runs into a failure, an attack or an outdated system whose upgrade has been postponed for years?
What Digital Resilience Really Is
Digital resilience is an organization's ability to adapt, recover and keep developing in the face of technology failures, using the capabilities of digital technologies themselves. It is not about avoiding problems, but about an architecture that withstands them without critical losses.
In practice, this means three things at once: protected systems, flexible processes and a team culture that is ready to adapt rather than panic at the first failure. According to Zborovskyi, the last point is the one most often underestimated: technology without trained people who know how to use it properly does not provide real resilience.
How Acute the Cybersecurity Problem Has Become in iGaming
This is where it is worth moving from theory to numbers, and they have changed quite sharply over the past year. According to data, the number of cyber incidents affecting online and land-based casino operators has increased by 400% since February 2025. Phishing attacks have grown by 180% since 2023, and platform downtime during a major sporting event can cost an operator more than $6,000 per minute.
In July 2025, a data breach affected up to 800,000 users of Flutter Entertainment (the owner of Paddy Power and Betfair), including IP addresses and betting history. In March of the same year, Merkur Group suffered a large-scale incident due to misconfigured backend interfaces, which resulted in more than 70,000 ID scans and users' payment data being compromised.
According to a report, the center of gravity of attacks has shifted toward identity threats: social engineering now more often targets employees of operators and suppliers, and generative AI has lowered the barrier to entry for attacks, making deepfakes, forged documents and fake KYC checks accessible even to less skilled attackers.
Why Transformation Without Resilience Creates New Risks
Digital transformation brings obvious benefits: automation of routine processes, real-time data-driven decisions, faster and more personalized user interaction. But every new layer of technology is at the same time a new point of vulnerability.
Mykhailo Zborovskyi identifies a typical set of problems that arise precisely at this stage:
- Legacy systems that are difficult to integrate with new tools
- Cyber risks growing in proportion to the growing connectivity of systems
- Investments in AI without a clear understanding of the expected result, which makes it difficult to assess the real ROI
- Resistance to change from teams used to traditional processes
- Fragmented data that limits visibility and the speed of decision-making
In iGaming, these risks carry additional weight due to the specifics of the industry: payment infrastructure, players' personal data and regulatory requirements make the cost of failure higher than in most other digital businesses, which is exactly what the data above confirms.
Seven Steps Toward a Resilient Architecture
If you adapt the general digital resilience framework to the specifics of the industry, you get roughly the following set of priorities:
- Align technology with business strategy. Every new tool should serve a specific business goal rather than be introduced because everyone else is doing it;
- Invest in cybersecurity systematically. Multi-layered protection, from threat detection to access control, rather than a single point measure, especially given the shift of attacks toward identity threats;
- Automate routine processes. This reduces human error and, importantly during a failure, shortens response time;
- Create a single data environment. Fragmented reporting systems slow down decisions precisely when speed is most critical;
- Develop the team's digital skills. Technology without a trained team remains potential rather than real resilience, especially as attacks increasingly target people rather than systems;
- Have an incident response plan. A clear protocol for a technical failure or cyberattack, prepared in advance rather than written during a crisis;
- Model scenarios ahead of time. Digital modeling of systems makes it possible to test the response to a failure before it actually happens.
According to the expert's observations, it is the sixth point – having a ready-made action protocol – that is most often put off in companies that have not yet faced a serious technical incident. But it is precisely the absence of such a protocol that turns an ordinary failure into a crisis that hits reputation and user trust much harder than the technical incident itself, as the cases directly illustrate.
Why You Can Trust Us
This article is based on public reports by industry analysts and the practice of relevant standards, including NIST, OWASP and ENISA recommendations. We do not replace expert assessment with generic figures and always cite the source of statistics.
How We Verify Information
Every figure is cross-checked against its primary source. If a source is unavailable or the data is ambiguous, we state this directly in the text or do not use that figure.
Editorial Principles
We write without pathos and without speculation. The focus is on practical steps that can be applied today, taking into account the specifics of the industry's regulation and risks.