A quarter of enterprise security breaches will trace back to AI agent abuse by 2028, Gartner predicts. It blames unmanaged machine privileges and legacy credential practices.
The prediction sits behind one of the entries in Gartner's Top Strategic Technology Trends for 2027, released on 21 October. Gartner says the ten trends will drive significant disruption and opportunity for CIOs and IT leaders within the next five years.
Several of the trends deal with how organisations govern AI that already runs inside their systems, rather than with new capabilities.
"The critical friction today is that AI systems operate in an architectural vacuum, generating software faster than humans can review it, creating unmanaged credential paths and binding processes to single-source vendor monopolies," said Gene Alvarez, Distinguished VP Analyst at Gartner.
"To prevent this systemic exposure, organisations must move from a passive observer of model capabilities to an active architect of organisation, human and machine boundaries," Alvarez said.
Gartner's AI agent identity trend addresses the breach risk directly. Because agents execute tasks independently and act for multiple people, they expose legacy systems that cannot deliver just-in-time access.
"Applying dynamic identity controls allows organisations to replace high-risk static credentials with dynamic, policy-controlled access," Alvarez said. "AI agent identity connects models, prompts and credentials to agent actions, creating trust and accountability."
AI context platforms are another governance-led entry. They give agents the contextual knowledge needed to interpret inputs, make decisions and act in line with business objectives.
"Without a dedicated context layer, organisations face severe operational risks, including overprivileged agents, compliance failures, low trust and excessive token consumption," Alvarez said.
Gartner predicts that by 2027, organisations prioritising semantics in AI-ready data will lift agentic AI accuracy by up to 80 per cent. They will also cut costs by up to 60 per cent.
Exit strategies and throwaway software
Sovereign tech covers hardware, software, databases and AI models built, technically and legally, to offer realistic exit strategies from critical providers. Gartner says these technologies are designed to remain available, preventing lock-in and protecting operational continuity.
Gartner predicts that by 2030, more than 75 per cent of organisations based outside the US will adopt digital sovereignty strategies. It expects them to shift critical workloads to reduce geopolitical and vendor lock-in risks.
Disposable applications are software built for a specific business purpose and intentionally retired once that purpose is fulfilled or no longer relevant.
"Transitioning to disposable applications fundamentally alters how software is bought, designed and budgeted for, turning application portfolios into dynamic systems, rather than long-term legacy investments," Alvarez said.
An agent coding harness is a closed-loop control system governing autonomous developer behaviour across the software development lifecycle. Without one, Gartner says, developers spend so long verifying machine output that the productivity gains disappear.
Autonomous exposure remediation combines AI techniques and automation to find, prioritise and fix vulnerabilities across the enterprise. It automatically tests and deploys patches, or virtual patches, into production environments.
The remaining trends concern new kinds of models. Large quantitative models are hybrid neural network architectures built to process and analyse numerical data. Gartner says they avoid the accuracy and compliance risks of language models that guess probabilistically.
Alvarez said the approach would allow organisations "to safely deploy autonomous forecasting in strictly regulated industries, such as finance and healthcare".
Speech reasoning models reason directly on audio, tracking context and intent across a conversation. Gartner says voice remains the enterprise's highest-volume interaction channel, and these models make complex conversations viable to automate.
World models allow machines to understand space, time and causality, so autonomous agents can simulate outcomes before acting. Gartner links them to investment in robotics, autonomous vehicles and spatial computing.
The most speculative entry is Wetware as a Service, which offers cloud-based access to living or synthetic biological systems for computation. Gartner presents it as a response to the energy demands of scaling AI on silicon.