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Dive Brief
Meanwhile, a new report found, companies are neglecting other basic security tools.
The gap between AI eagerness and AI readiness was one of the top findings Zoho highlighted in its report. While 90% of survey respondents said AI could strengthen their cyber defenses, only 8% said they were currently ready to deploy AI-powered security tools.
“An 82-point gap between belief and deployment readiness defines the most critical inflection point in workforce security,” Zoho said.
At the same time, many businesses don’t have a handle on core cybersecurity practices. Roughly three-quarters of respondents said they lacked complete visibility into their identity ecosystem, meaning they don’t know who has access to which systems. While 36% reported partial visibility, 38% reported limited visibility and 14% said they had no visibility at all.
“This ‘identity visibility gap’ is not a peripheral concern,” Zoho warned. “It is the central vulnerability enabling unauthorised access, insider threats, and compliance failures.”
On the important metric of zero-trust networking — the design of systems to anticipate compromise and limit its impact — roughly two-thirds of businesses said they had no strategy for implementing it. Roughly half of those businesses said they planned to adopt a strategy within the next three years, which Zoho said created “a critical window of vulnerability for credential-based attacks.”
More than half of businesses said zero-trust networking was difficult because of "unmanageable" growth in their identity ecosystems, while another one-third of respondents said they lacked the right processes and tools.
The report, based on a survey of 3,300 cybersecurity professionals in nine regions and six industries worldwide, also found that one-third of businesses experienced a cyberattack in the past year, with an additional 7% “not certain whether they had been attacked.”
On the AI-for-security front, companies are most interested in the technology’s ability to detect anomalous activity and threats (68% cited this as a desired feature), automatically enforce policies (61%) and analyze employee behavior (54%). But multiple factors are holding back their AI adoption, with outdated technology, concerns about the complexity of migration and budget constraints topping the list.
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