Cybersecurity Is Becoming an Adaptive Systems Race

This is the seventh and final follow-up, each taking one trend from our 2026 outlook and pushing past the headline into the part that changes how an operator actually runs. Trend #7 was that cybersecurity is becoming an adaptive systems race. The headline - "cyber threats are rising" - is true and almost useless; it has been true every year for a decade. The sharper question is what the race looks like beat by beat: for each move the attacker now makes, what is the counter that keeps you in it? The rest of this piece is paired that way - move, then response - because that is how the contest is actually fought.

The move. The thing that changed is not the volume of attacks; it is their cadence. Attackers now use the same automation and model-driven tooling that defenders do. Phishing that used to carry tell-tale grammar errors is now fluent and personalized at scale - the perfect email in the inbox above. Reconnaissance that took a skilled operator days runs in minutes. Malware variants are generated faster than signature lists can catalog them. The ENISA Threat Landscape has tracked this shift for several cycles: the tooling is cheaper, faster and more adaptive than it was, and that lowers the cost of trying again.

The counter. If your opponent is a learning system that iterates on every failure, a defense that holds still is a defense that is being studied - the control you configured last quarter is a fixed target the attacker can probe at leisure until something gives. The counter is not a better wall; it is a faster loop. Security posture stops being a state you reach and becomes a rate: how quickly you detect, decide and adapt relative to how quickly your attacker does. You stay in the race by closing that gap, not by sealing the perimeter once.

The move. For a fintech, the most expensive version of this race is not the dramatic breach; it is fraud, and it follows the same logic. Account takeover, synthetic identities, authorized push-payment scams and mule networks all adapt the moment your controls do. Block one pattern and the volume reappears in another channel a week later. Europol's assessment of online crime (IOCTA) describes an ecosystem that is professionalized, specialized and quick to reroute around friction - which is exactly the behavior an operator sees in the dashboard.

The counter. This is why a static rules engine ages badly. A fixed set of fraud rules is a snapshot of last year's attack, and fraudsters treat a stable ruleset as a map. The defenses that hold up share a property: they observe behavior continuously and shift their thresholds as patterns move. That puts real weight on your AML and KYC controls - not as a one-time onboarding gate, but as a live monitoring layer that re-scores risk as a customer's behavior changes. The goal is not to catch every attack on day one. It is to shorten the window between a new pattern appearing and your system responding to it.

Every race eventually gets a referee, and in this one the referee is the regulator - which is where the regulatory and the technical line up neatly, a thing that does not happen often. The Digital Operational Resilience Act, in force across the EU since January 2025, does not ask whether you bought security tooling. It asks whether your platform can withstand, respond to and recover from disruption - and whether you can prove it. That is a resilience standard, not a checklist, and resilience is inherently about how a system behaves under stress it did not anticipate. The referee, in other words, scores you on pace, not on equipment.

In practice that pulls security out of the "configure once" mindset. DORA expects ICT incident detection and reporting on a defined clock, which only works if monitoring is continuous rather than periodic. It expects threat-led resilience testing, which assumes your defenses will be probed and is designed to find where they bend. It expects a maintained register of third-party dependencies, because an attacker who cannot reach you directly will reach you through a supplier. Every one of those is an admission, in regulation, that the threat moves - and that your platform security and ICT controls have to move with it. A core banking stack like Macrobank that already treats logging, access control and recovery as live, observable features starts a long way ahead of one that treats them as settings.

The move. When the front door holds, the attacker changes target: a blind spot the application cannot see, a privilege left too broad, an exposed endpoint, or a supplier who can reach you when the attacker cannot. The probing is patient and automated, and it is looking for the one fixed thing in your stack that nobody is watching.

The counter. If the threat is a moving system, the defense has to be designed to change quickly and safely - an architecture question before it is a tooling one. Three choices matter most. First, visibility. You cannot adapt to what you cannot see, so every sensitive action should emit an event your team can monitor and replay. Second, granular control of access. When roles, rights and permissions are fine-grained and enforced in one place, you can tighten a privilege the moment a pattern looks wrong, rather than rewriting policy across a dozen services. Third, a defensible integration surface. Most modern platforms expose and consume APIs, and every endpoint is a door - they need authentication, rate limiting and monitoring as first-class properties, not afterthoughts bolted on once traffic arrives.

The common thread is that adaptivity is a design stance, not a product you purchase. A platform instrumented for observation, built for least-privilege access and defended at its edges can respond to a new threat in hours. A platform where security lives in a separate appliance, blind to what the application is actually doing, responds in weeks - and weeks is the unit the attacker is counting on. Defense-in-depth is the old phrase for this, but the modern version adds a clause: the depth has to be observable and adjustable, or it is just layers waiting to be mapped.

The race lands differently depending on what you run - here is where it runs hottest for each operator. For payment institutions and EMIs, DORA is the live obligation and fraud is the daily one. Make sure incident detection is continuous, the third-party register is maintained, and your fraud monitoring re-scores risk in real time rather than at onboarding. Getting the licensing scope and operating model right early makes the resilience obligations far easier to evidence later.

For crypto businesses, VASPs and CASPs, the attack surface is sharper - irreversible transactions and custody make you a high-value target. Treat key management, transaction monitoring and access control as the parts of the platform most likely to be probed, because they are. For lenders and any firm running models in fraud, credit or onboarding, the same AI that sharpens your defense sharpens the attack. Assume your model will be tested with adversarial inputs and synthetic identities, and build the monitoring to notice when its outputs drift. For founders, the trap is treating security as a launch-gate you pass once and a cost you minimize after. It is a capability that has to keep moving.

The headline - cyber threats are rising - is true and, by now, not very interesting. The operating consequence is the part that separates firms that absorb an attack from firms that are defined by one. Security has moved from a fixed control set to a contest between two adapting systems, move answered by counter-move, and DORA has made that contest a supervisory expectation rather than a private worry. You do not win this race by landing a final blow or finishing the wall; there is no final blow and the wall is never finished. You win it by losing fewer beats than the other side, quarter after quarter - building the platform to see, to control and to defend its edges so you can change as fast as the threat does. Treat security as a box you ticked at launch and you are defending a fixed position against an opponent who never stops moving. Security is no longer a state you reach. It is a pace you have to keep.

This is the seventh and final piece in a series expanding on our 2026 fintech trends. If you are weighing how these threats land on your platform and license, speak to our team - we have done it across 100+ licensing and platform builds.

*Maxim Ivanchenko, CEO at Advapay*

The 2026 shift is that cybersecurity has become an adaptive systems race - move and counter-move between two systems that both keep changing - so a fixed control set is a stationary target rather than a defense.

• Read it beat by beat: for every attacker move (fluent AI phishing, automated reconnaissance, rerouted fraud, a supplier used as the way in) the counter is faster rather than taller, because security posture is a rate, not a state - how fast you detect, decide and adapt relative to how fast your attacker does.
• Fraud follows the same arms race: static rules engines age badly because fraudsters treat a stable ruleset as a map; effective controls re-score risk continuously as behavior moves.
• DORA (in force since January 2025) is the referee that made pace mandatory - continuous incident detection, threat-led resilience testing and a maintained third-party register all assume the threat keeps moving.
• Adaptivity is an architecture stance, not a purchased product: build for visibility, least-privilege access and a defensible API surface so you can respond in hours, not weeks.
• Where the race is hottest differs by business type - DORA-plus-fraud for EMIs and PIs, custody and key management for crypto firms, adversarial inputs for model-driven lenders - but the bar is the same: a platform that can change as fast as the threat.