Global Cybersecurity Outlook 2026
Page 18 of 64 · WEF_Global_Cybersecurity_Outlook_2026.pdf
3.1 AI is reshaping risk, accelerating
both offence and defence
Developments in AI are reshaping multiple domains, including cybersecurity.
Implemented well, these technologies can assist and support human operators
in detecting, defending and responding to cyberthreats. However, they can also
pose serious risks such as data leaks, cyberattacks and online harms if they
malfunction, or are misused. Governments must take a forward-looking, practical
and collaborative approach to developing and using emerging technologies safely,
as their capabilities and risks continue to evolve. The risks transcend borders,
and the challenge is to maximize AI’s benefits, including to strengthen our cyber
resilience, while minimizing its risks.
Josephine Teo, Minister for Digital Development and Information and Minister-in-Charge
of Cybersecurity and Smart Nation Group, Singapore
AI is anticipated to be the most significant driver
of change in cybersecurity in the year ahead,
according to 94% of survey respondents. AI is
reshaping the cybersecurity landscape across three
interconnected dimensions. First, the widespread
integration of AI systems introduces an expanded
attack surface, creating novel vulnerabilities that
traditional controls were not designed to address.
Second, defenders are harnessing AI to strengthen
their cyber capabilities – augmenting detection,
accelerating incident response and automating
high-volume analytical tasks. Third, threat actors are leveraging AI to enhance the scale, speed,
sophistication and precision of their attacks, driving
a new generation of automated exploitation and
targeted social engineering (see Section 3.3).
Together, these dynamics illustrate the dual-
use nature of AI, both as a force multiplier for
defence and as a catalyst for attackers. As this
technological competition intensifies, organizations
are shifting from reactive to proactive security, while
reassessing governance, validation and oversight at
every stage of AI adoption.
Impacts of AI on cybersecurity FIGURE 7
Cybersec urity capa bilities need to inno vate to
protect the business; consequences of attac ks
are tightly linke d to business processe s
Next-ge neration cyber arms race
driven by thr eat interest a nd
potenti al for collatera l dam ageWider attack surface and
cyber harms to enterprise
New attack surface and pr opagation
of risks acr oss businesses
Enhanced cyber
defence tools
Better pr evention and attack
detection, and mor e effective
incident r esponseMore potent
cyberattacks
Toxicity of cyberspace
increases, targeting of
victims mor e effectiveImpacts of AI on cybersecurity
New attack surface offers new
targets and attack vectors,
which will n eed to be defe nded
Source: Artificial Intelligence and Cybersecurity: Balancing Risks and Rewards. (2025). World Economic Forum2
Global Cybersecurity Outlook 2026 18
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