Cyber threats: Four key trends 2026

The threat landscape is evolving at a rapid pace. Four key trends show how AI and automation will fundamentally change cyber attacks in 2026.

AI attack agents expand attack capabilities

Attackers are increasingly relying on specialized AI agents that carry out sub-processes of the attack chain independently. These include credential theft, internal reconnaissance and lateral movement. This creates economies of scale that enable even less experienced actors to carry out complex campaigns in parallel and almost without human control. This increases the operational effectiveness of cyber criminals enormously, as dozens of campaigns can be automatically orchestrated in parallel.

Attacks faster, more precise and more automated

The further development of attacks aims to increase efficiency. Automated reconnaissance, AI-generated scripts and standardized attack pipelines reduce the time from initial access to monetization to just a few minutes. In addition, GenAI moves to the center of the post-compromise phase: as soon as attackers gain access to extensive data sets, AI tools analyze them within a very short time, correlate relevant information and identify the most valuable targets for blackmail or resale.

Crime-as-a-Service reaches "industrial maturity"

Cybercrime is entering an "industrial phase" characterized by automation, specialization and closely interlinked service structures. Dark web marketplaces increasingly resemble legitimate e-commerce platforms. Organized crime is also making greater inroads into this ecosystem, for example through the recruitment of insiders, the establishment of stable money laundering chains and the integration of traditional crime areas into digital business models.

Critical infrastructure comes under increased scrutiny

Attackers are focusing on sectors such as manufacturing, healthcare, energy supply and complex supply chains. The ransomware-as-a-service model is spreading into OT environments. There, data theft, extortion and operational disruptions combine to form a unified attack scenario. At the same time, criminals are adopting destructive techniques such as firmware manipulation, device bricking or the compromise of IoT systems.

2026 marks the transition to an industrialized form of cybercrime where success depends on speed and scale. Security teams must adapt their architecture to the speed of machines. This requires integrated security operations models that combine Network Detection and Response, Endpoint Detection and Response and Continuous Threat Exposure Management into an end-to-end process. Continuous exposure management and identity-centered security control are becoming essential.

"In 2026, cybersecurity will be based on the ability to translate threat information into concrete measures in near real time. For companies, this means shaping their security strategies as a continuous, data-driven and adaptive process," says Thorsten Henning, Regional Director Systems Engineering & Business Development DACH at Fortinet.

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Fortinet, http://www.fortinet.com