Four forces reshaping cyber risk in 2026

The cyber threat landscape is becoming faster, more complex and harder to contain. Here, Steve Durbin of the Information Security Forum sets out the four forces reshaping cyber risk in 2026 and explains why resilience has become a core leadership discipline

The most dangerous assumption heading into 2026 is that threats won’t meaningfully evolve, that yesterday’s playbook will still be enough and that, with the right tools and enough vigilance, we can stop everything at the gate. For 2026, that assumption is likely false. Threats are becoming more persistent, intelligent and automated. This shift makes “defend everything” an unrealistic strategy.

The answer is resilience.

Resilience starts with a simple fact: you cannot prevent every attack. The goal is to absorb impact, contain the damage and get critical services up and running as soon as possible.

And that only happens when resilience is treated as a leadership priority rather than a technical afterthought.

Resilience works when accountability is explicit, and response is rehearsed until it becomes muscle memory. When a crisis hits, actionable guidelines ensure that teams make clear-headed decisions under high pressure.

To strengthen resilience, protect critical services and prepare organisations for a more volatile threat environment, leaders need to understand the forces now reshaping cyber risk. Four in particular stand out in 2026: the growing use of AI in attacks, the expanding exposure created by third-party ecosystems, the longer-term challenge posed by quantum computing and the added instability created by geopolitical tension.

1. AI-driven threats
AI is now automating parts of an attack that used to take a lot
of time, research and skill. Cybercriminals can scale faster and
reduce the cost of launching attacks. The immediate impact is a
surge in AI-generated spear phishing, more convincing voice and
video deepfakes and a rise in synthetic identity attacks that can
slip through defensive layers.
T
he best foot forward is to avoid legacy tools and transition
to AI-based detection that focuses on behavioural anomalies,
surfacing what signature-based tools miss. Pair detection
with a comprehensive incident response that is practised and
repeatable.
2. Third-party ecosystems
Cloud services, SaaS providers, outsourcers and tightly connected
vendor ecosystems are a complex web that creates shared
exposure. This environment is under the radar of attackers who
continuously probe for weaknesses, trying to embed backdoors to
enable successful intrusions.