HPE's Threat Labs documented a sharp shift in cybercriminal tactics during 2025, revealing an industrialized approach to attacks that prioritizes scale and efficiency. Criminals now deploy automation and AI tools to exploit existing vulnerabilities at unprecedented speed, transforming what were once ad-hoc operations into structured, repeatable campaigns.
The HPE In the Wild Report identifies automation as the primary driver of this change. Rather than manually targeting victims, threat actors now use scripts and machine learning to identify vulnerable systems, launch attacks, and move laterally through networks without human intervention. This approach lets small criminal groups punch above their weight, executing attacks that previously required large teams.
AI integration marks a second evolution. Cybercriminals leverage language models and other AI techniques to craft convincing phishing messages, generate malware variants that evade detection, and automate social engineering at scale. The technology reduces the skill barrier to entry, allowing less sophisticated actors to participate in profitable campaigns.
The report emphasizes that most attacks exploit known vulnerabilities rather than zero-days. Organizations patch slowly, leaving open doors for months or years. Criminals have simply adapted their tooling to find and abuse these gaps faster than defenders can close them.
The industrialization mirrors legitimate software development. Criminal operations now feature specialized roles, defined workflows, and quality control. Some groups offer attack-as-a-service models, allowing non-technical actors to rent access to infrastructure and expertise. This structure insulates leadership from operational risk and creates a self-sustaining ecosystem.
HPE's analysis carries operational weight. The report suggests that defending against industrialized threats requires matching their speed. Organizations that rely on manual patching and reactive incident response will lose. Those investing in automated vulnerability management, continuous monitoring, and AI-assisted threat detection have a fighting chance.
The trend points to a grim reality: defending networks is becoming harder while attacking them becomes easier. The gap between