Gigamon has released findings from its 2026 Hybrid Cloud Security Survey, which examine how financial services organisations are adopting AI-enabled security measures alongside ongoing security and operational challenges.
The report, Financial Services Industry Insights: The Visibility Imperative in the Age of AI, explores issues faced by security leaders as they manage AI adoption, cyber risk, regulatory compliance, and customer trust. It notes that 98% of organisations that experienced a breach reported business impacts, including financial losses and regulatory consequences.
The findings indicate that AI is widely used across the sector for security and operational purposes. According to the survey, 91% of organisations use AI-powered tools, and 66% have automated certain security actions using AI without human intervention.
At the same time, AI-related security incidents are commonly reported. The survey states that 77% of organisations experienced AI-influenced breaches, 54% observed an increase in AI-driven social engineering attacks, and 47% reported more attacks targeting AI systems and large language models.
Visibility across hybrid environments is identified as a continuing challenge. While 94% of organisations have invested in technologies aimed at improving threat detection and response, many report difficulties managing complex hybrid cloud infrastructures. Additionally, 42% reported delays in detecting breaches, with fragmented security tools cited as a contributing factor.
The report also highlights the importance placed on visibility, with 95% of respondents stating it is important for effective security. It notes growing attention on understanding data in motion, particularly in relation to encrypted traffic and potential future quantum-related threats. Around one-third of organisations identified encrypted traffic as a security concern, and 88% expressed concern about harvest-and-decrypt scenarios.
In terms of infrastructure risk perceptions, public cloud environments are viewed as higher-risk by over half of respondents, while data lakes are more often considered relatively secure. Network-derived telemetry is described as one of several methods used to support security monitoring and analysis.
Overall, the report focuses on how organisations are working to manage AI adoption and security monitoring across hybrid cloud environments, and the associated challenges in visibility, threat detection, and risk management.
