Geopolitical shifts, the strategic use of key supply chains, and the rapid spread of generative AI are transforming how organizations handle risk. As we approach 2026, businesses must shift from reactive security to proactive strategies that rely on intelligence. In this new environment, cyber strategy, operational stability, and awareness of global developments will be closely connected. For these reasons, here are three significant trends I believe will shape the cybersecurity landscape in 2026:
Geopolitical tensions will continue to amplify cyber risk
In recent years, significant shifts in global geopolitics have occurred, including the conflict in Ukraine, rising tensions in the Middle East, and an intensification of strategic competition in East Asia. These physical confrontations increasingly extend into the cyber domain, elevating risks for corporations and governmental entities. This trend is expected to persist and develop new areas of concern through 2026. Notably, in East Asia, escalating state-sponsored cyber operations are thoroughly documented. Additionally, the Americas are becoming more involved in global friction due to emerging vulnerabilities related to supply-chain disruptions and rare-earth resource dependencies.
The semiconductor sector plays a pivotal role in today’s rapidly evolving landscape. Issues related to Taiwan, the South China Sea, and China’s pursuit of self-sufficiency in rare-earth materials and advanced semiconductor manufacturing are not abstract concerns; rather, they represent real and ongoing challenges within the global economy. Any escalation in this region has the potential to impact the entire technology ecosystem, extending from chip production to artificial intelligence model development.
For global enterprises, these trends highlight an important reality: geopolitical volatility is an inherent aspect of cyber risk. Effective exposure management necessitates the integration of geopolitical intelligence into comprehensive cyber-resilience strategies. Organizations should consistently map dependencies, evaluate vendor portfolios, and proactively assess how evolving alliances or sanctions could initiate emerging threat campaigns.
The shipping and maritime logistics sectors are expected to emerge as primary targets
With rising global tensions, the maritime industry in particular faces increasing cyber threats. For example, in August 2024, a cyberattack at the Port of Seattle caused system outages and exposed the personal data of about 90,000 people. The Coast Guard Cyber Command has reported a record number of maritime cyber missions, responding to incidents throughout vital shipping infrastructure.
Shipping networks blend older technologies, operational dependencies, and worldwide data links, making them appealing targets for cyber attackers. With sanctions, changes in trade routes, and regional conflicts shifting maritime paths through places like the Suez Canal, the South China Sea, and the North Atlantic, it is expected that threat actors will increasingly focus on logistics tracking, port operations, and vessel communication systems.
In 2026, maritime cyber-resilience will depend on real-time monitoring, network segmentation, and intelligence-based risk management connecting physical and digital threats.
Shadow AI is set to become the next significant unmanaged risk
As enterprises rapidly integrate generative AI into their operations, many are realizing that significant risks may stem from internal practices rather than external threats. Increasingly, employees are utilizing personal or unsanctioned AI tools to enhance productivity, a phenomenon referred to as shadow AI. In the absence of well-defined policies governing data access, model usage, and output validation, there is a heightened risk of sensitive information being inadvertently disclosed or misappropriated.
KPMG’s recent AI Security Benchmark Survey revealed that many organizations do not have established processes for addressing AI vulnerabilities, incident response, or resilience planning. By 2026, this unmanaged area will expand as generative models become a common feature in productivity tools and coding platforms. Additionally, though policies for technology integration and approval have improved greatly over the last decade, the massive amount of logging now presents a major visibility issue, forcing many companies to reconsider their approach to shadow IT.
Proactive organizations will incorporate AI governance into cyber and data protection, prioritizing model access, prompt integrity, and data lineage in risk management.
Translating awareness into action
Regardless of whether risks stem from geopolitical tensions, shipping disruptions, or rogue AI, effective exposure management is essential. Organizations that combine geopolitical, operational, and digital intelligence into a single resilience strategy will be best equipped to handle uncertainties in 2026.
About the Author
An accomplished leader with extensive public and private sector expertise, Yuval Wollman serves as President, CyberProof, a fully owned UST subsidiary that develops cybersecurity services and solutions. Yuval is responsible for building a local innovation hub to connect and accelerate UST’s customers’ digital transformations and data analytics challenges.
Yuval can be reach at LinkedIn and at UST’s website https://www.ust.com/
