As organized crime industrializes at AI-powered speeds, one cybersecurity firm offers its cyber predictions for 2026 and beyond.
As automation, specialization, and AI redefine every stage of the attack lifecycle, the time between compromise and consequence continues to collapse, according to cybersecurity firm Fortinet.
Here are some of the firm’s predictions for the year ahead.
- Threat actors will transition from innovation to throughput
Because AI, automation, and a mature cybercrime supply chain will make intrusion faster and easier, attackers are expected to spend less time developing new tools and more time refining and automating proven techniques. AI systems could manage reconnaissance, accelerate intrusion, analyze stolen data, and assist in ransom negotiations. Autonomous agents may begin carrying out entire attack stages with limited human oversight. These shifts may greatly increase attacker capacity. A ransomware affiliate that once managed a handful of campaigns could soon launch dozens in parallel. The time between intrusion and impact may shrink from days to minutes, making speed a defining risk factor for organizations in 2026. - Three next-generation cyber threats
Specialized AI agents are expected to enhance cybercriminal operations by automating stages such as credential theft, lateral movement, and data monetization. Once attackers gain access to stolen data, AI tools may quickly analyze it, prioritize targets, and generate tailored extortion messages, turning stolen information into a more liquid form of currency.
The underground cyber economy could also become more structured. Botnet and credential-rental services may become increasingly customized based on industry, geography, and system profiles. Features such as customer service, reputation scoring, and automated escrow could make black markets more efficient, accelerating cybercrime’s evolution toward industrialization. - Defense strategies must and will evolve
Defenders will need to operate with similar speed and coordination. Security operations are likely to move toward machine-speed defense — a continuous process of intelligence, validation, and containment that compresses detection and response times.
Frameworks such as continuous threat exposure management and MITRE ATT&CK can help defenders map active threats, identify exposures, and prioritize remediation using live data.
As organizations authenticate both human and non-human entities, including automated agents and AI processes, identity management will become central to security operations and preventing privilege escalation and data exposure. - Cyber survival will depend more on collaboration and deterrence
The growth of organized cybercrime will require stronger global collaboration. Joint intelligence sharing and coordinated disruption efforts among public and private sectors may help dismantle criminal infrastructure. Initiatives encouraging communities to safely report cyber threats can help strengthen deterrence and accountability.
Continued investment in education and prevention programs for young or at-risk individuals will also be key to reducing recruitment into cybercrime. In future, cybercrime may operate at a scale comparable to legitimate global industries, with further automation and adaptive, swarm-based AI models coordinating offensive operations.
Defenders will need to evolve as well, using predictive intelligence, automation, and exposure management to accelerate containment and anticipate adversary behavior. The coming stage of cybersecurity will depend on how effectively humans and machines operate together as adaptive systems. - Seeing beyond the 2026 cyber landscape
Velocity and scale will define the years ahead beyond 2026. Organizations that unify intelligence, automation, and human expertise into a responsive system will be better positioned to adapt to fast-changing threats.
Static configurations and periodic assessments will not keep pace with an environment where attackers automate reconnaissance, privilege escalation, and extortion.
A unified, adaptive security posture — integrating threat intelligence, exposure management, and incident response into a continuous, AI-enabled workflow — will be essential for resilience.
