Trend Micro forecasts a decisive shift toward machine-driven cyberattacks in 2026, as AI and automation allow threat actors to run intrusion, exploitation, and extortion cycles with minimal human involvement.
The company’s latest outlook says automated agents will drive reconnaissance, vulnerability discovery, and monetization at a pace that will challenge enterprise security teams already strained by talent gaps and fragmented defenses.
The report notes that generative AI and autonomous agent systems are reshaping the economics of cybercrime by lowering the cost of operations and enabling threats that evolve in real time.
Techniques include polymorphic malware, deepfake-enhanced social engineering, and synthetic code designed to contaminate development pipelines.
Hybrid cloud environments and software supply chains remain high-risk areas, with poisoned open-source packages, compromised container images, and misconfigured identity permissions expected to accelerate breach activity.
State-backed groups are also expected to expand harvest-now decrypt-later collection to prepare for advances in quantum decryption.
Ransomware groups are anticipated to deploy AI-powered ecosystems that independently select targets, exploit weaknesses, and conduct negotiations through automated extortion bots.
These operations are projected to become more efficient, harder to attribute, and more persistent.
Trend Micro urges organizations to shift from reactive controls to integrated resilience strategies that embed security into AI development, cloud operations, and supply chain governance.
The firm stresses the importance of visibility, automation with human verification, and a culture that treats security as core infrastructure.
The forecast highlights that enterprises able to balance rapid innovation with disciplined oversight will be better positioned to manage risk as autonomous threats scale across global networks.
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