Security and IT teams are under heavy pressure to adopt AI, but a new field guide suggests the results often fall short of expectations. Products that look impressive in controlled demonstrations tend to struggle when dropped into real operational environments, where messy data and unpredictable conditions dominate.
The guide points to a pattern of unintended consequences: complexity grows, trust in the tools erodes, and teams end up spending more time on oversight instead of less. Rather than simplifying security operations, AI can introduce fresh risks and require additional monitoring, creating a burden that offsets any efficiency gains.
For organizations evaluating AI, the takeaway is to test tools against realistic workflows and to plan for the extra governance they will demand. A flashy demo is not a substitute for evidence that the technology can hold up under actual security pressures.