Artificial intelligence is reshaping cybersecurity by both accelerating innovation and introducing new vulnerabilities. Deloitte Tech Trends 2026 finds that rapid AI adoption improves operational efficiency while expanding attack surfaces, making the balance between innovation and security a strategic priority.
Risks originating inside organisations
Many companies worldwide adopt AI for its business benefits, but broad deployment brings fresh cyber risks. Deloitte highlights that the most significant threats often arise within organisations. Key concerns include:
- "shadow AI": unauthorized AI solutions used without proper oversight, creating governance, security and transparency problems;
- autonomous decision-making systems that process sensitive data and can lead to data loss, model manipulation or unauthorized access.
These developments make proactive risk management and AI-specific security measures essential.
Where AI-related risks appear
Deloitte Tech Trends 2026 identifies four layers where AI-related risks manifest:
- data
- AI models
- applications
- infrastructure
As the threat landscape expands, reactive defense becomes less adequate. Traditional cybersecurity approaches must be adapted to address AI-specific challenges.
AI as an enhancer of defence
At the same time, AI brings significant defensive advantages. AI-driven cybersecurity tools operate at machine speed and adapt in real time to new threats, detecting patterns human analysts may miss. These solutions:
- enable continuous monitoring of the digital environment,
- speed up incident response,
- anticipate attacker behaviour,
- automate repetitive tasks.
Leading organisations are already adopting AI-native defence strategies, such as red teaming to probe AI system weaknesses and adversarial attack simulations to help models recognise and resist manipulation attempts.
"AI can substantially increase the effectiveness of cybersecurity defence. It automates repetitive tasks, detects hidden attack patterns, and accelerates response times. As a result, cybersecurity teams can make faster and better-informed decisions, fundamentally changing risk management" – said Szöllősi Zoltán, Central European partner of the Deloitte Cybersecurity Advisory team.
Governance, compliance and autonomous systems
Governance, risk and compliance frameworks are evolving quickly, particularly in regulated sectors like finance. AI oversight is increasingly falling under audit committees, which review AI-related operations on a regular basis. As autonomous systems proliferate, controlling AI agents, implementing dynamic access management and managing the full lifecycle of AI solutions become critical.
Future challenges and what will determine success
In coming years, several trends could transform cybersecurity: tighter integration of AI with physical infrastructure, the emergence of autonomous cyber operations, and new security challenges related to space and quantum technologies. These trends may fundamentally reshape defence strategies, so organisations need flexible technology architectures and strong governance now.
Successful organisations will be those that build multi-layered, strategic defence models and embed security into the design phase of AI development. Companies that strike a balance between innovation and security will not only better protect their systems but also gain competitive advantage in an increasingly AI-driven economy.
