According to Globalscape, the world is experiencing a new industrial shift powered by trillions of dollars of compute investment. Major technology companies added nearly five trillion dollars in market value over the past year, driven largely by their AI strategies. At the same time, early enterprise deployments of automated agents and computer use models are accelerating, creating thousands of interconnected processes that rely on sensitive data, elevated permissions and machine driven actions. CyCognito notes that this shift mirrors a pattern familiar to security leaders: innovation that outpaces security readiness and creates high value entry points for attackers.
The report also warns that global data center capacity dedicated to AI workloads will triple by 2030, requiring more than four trillion dollars in new infrastructure spending. More than half of this future capacity is already committed by hyperscalers and model developers. As organizations push AI deeper into their operations, CyCognito expects a significant rise in exposed assets, forgotten cloud workloads, unsecured APIs, misconfigured AI endpoints and vulnerable third party integrations. These issues already represent the largest share of real attack paths discovered across global enterprises.
The Globalscape analysis further shows that AI native applications and agent driven systems are growing at unprecedented speed. Some emerging platforms are reaching one hundred million dollars in annual revenue in less than a year. This rapid adoption accelerates the formation of shadow infrastructure because business units adopt new tools before security teams can evaluate identity controls, data flows or cross domain behavior. CyCognito believes this will intensify the need for continuous, automated discovery and classification of externally reachable assets, including the new classes of interfaces created by autonomous agents.
Accel’s research also highlights a major shift in the threat landscape. Enterprises are beginning to deploy agents that can call tools, execute workflows and take actions inside critical systems. CyCognito has identified these same behaviors as early indicators of a new generation of attacks that target agent permissions, poison model outputs or redirect automated toolchains. As the report notes, security will become a defining challenge as enterprises adopt AI at scale.
CyCognito expects AI security to become a top budget priority for CISOs in 2026. The Globalscape report shows that most enterprise leaders plan to increase AI related spending, with a significant share driven by interest in agentic automation. As these technologies mature, CyCognito sees a growing need for unified visibility that spans cloud, SaaS, identities, AI agents and external facing infrastructure.
The company also believes that the rapid rise of synthetic media, computer use models and vertical AI platforms will create new categories of external exposure. These include unauthorized agent behavior, prompt based data leakage, model manipulation and elevated access misuse within automated workflows. These risks will require a shift from reactive security tools to continuous, outside in discovery and validation, which is the foundation of CyCognito’s platform.
CyCognito’s analysis of the Globalscape Report reinforces the idea that AI innovation and AI risk are growing at the same pace. As enterprises adopt new workflows and expand their infrastructure to support AI, CyCognito will continue to equip them with the visibility and intelligence needed to reduce exposure, harden their attack surfaces and secure the next generation of automated systems.
