AI security challenges: addressing complex threats in enterprise environments

As AI adoption accelerates across enterprise environments, new research from global technology service provider Logicalis highlights cybersecurity challenges associated with this growth. Many organisations are still working through how to manage these complexities effectively.

The findings show that AI is impacting security operations. Over 40% of CIOs report that AI has worsened incident response times, while others say it has reduced their ability to detect breaches effectively, creating potential blind spots in their environments.

This increasing complexity emerges as AI becomes more embedded in enterprise systems. While it can enhance IT capabilities, it can also expand security risks that organisations need to manage.

Visibility of AI usage is also a challenge. More than a third of CIOs say they do not have a complete view of AI tools and services being used across their organisations. In many cases, AI adoption has progressed faster than governance frameworks, making oversight more difficult.

The focus is shifting from AI adoption to control. More than half of CIOs report that they have relaxed AI governance standards due to limited knowledge or capability, reflecting the balance organisations are trying to strike between innovation and risk management.

As AI moves from early-stage use into wider enterprise deployment, complexity and risk increase further. Without appropriate oversight, skills and governance structures, organisations may find it harder to manage visibility gaps and emerging security challenges.

The findings suggest that while AI presents opportunities to improve productivity and innovation, organisations are placing greater emphasis on strengthening governance and improving visibility of AI usage. Aligning security operations with increasingly AI-driven environments is becoming a growing priority.

As AI systems become more embedded and autonomous, the role of the CIO continues to evolve. Success increasingly depends not only on deploying AI, but also on establishing the organisational discipline, accountability and expertise needed to manage it securely at scale.

Mike Fry, Infrastructure, Data & Security Solutions Director at Logicalis UKI, commented, “AI is introducing a new level of complexity into enterprise environments and security teams are being asked to manage risks that are evolving just as quickly as the technology itself. As organisations embed AI more deeply into their operations, maintaining visibility and control becomes significantly more challenging, particularly if governance frameworks, skills and oversight are not evolving at the same pace.”