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Are alert overloads and rising AI ambitions linked to increased platform-based, AI-powered security?

By CybersecAsia editors | Tuesday, May 19, 2026, 9:47 AM Asia/Singapore

Are alert overloads and rising AI ambitions linked to increased platform-based, AI-powered security?

Respondents of one regional survey appeared to report pressure, but not definitive proof, of such shifts…

Based on a Mar 2026 “custom survey” of 585 decision-makers and influencers of cybersecurity solutions from several (undisclosed) APAC markets on cybersecurity complexity, AI-driven threats, platform-based security, and AI investment, a cybersecurity firm has shared some findings with the media.

The survey findings reported in a press release embargoed until 7 May 2026 point to a security landscape in which complexity, alert overload, and AI-related concern were described as pressing issues by the respondents.

Many surveyed decision-makers were contending with fragmented environments, manual processes, and uneven maturity levels, while also planning to spend more on AI.

Respondents most often appeared to be describing a security operation under strain. The press release framed alert volume as a practical obstacle and suggested that many of the surveyed organizations were still relying on manual workflows. It also positioned cybersecurity maturity as uneven, emphasizing that a relatively small share of respondents placed their organizations at the advanced end of the scale.

The press release further tied the findings to a broader move toward platform-based security. It described respondents as favoring fewer tools, better integration, and more centralized control, while also acknowledging that cost, disruption, and uncertainty about cross-domain capabilities remained barriers.

With scarce methodological data available to back the provenance and quality of the data and responses, the press release asserted that AI is both a risk and a remedy: respondents had identified AI-driven threats as a concern while also expecting AI to improve detection, response, policy enforcement, and workflow efficiency. It also noted that many respondents planned to raise AI budgets, even though the same material suggested that integration and data foundations were still incomplete.

The firm that commissioned the “custom survey” was Fortinet. As details and findings lack clarity and detailed methodological disclosure, readers interested in the survey can visit the relevant websites for follow-up survey information.

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