There has been a notable rise in interest among businesses in integrating generative AI (GenAI) into their security frameworks, with 68% of organizations planning to do so within the next year.

Moreover, while businesses recognize the potential for enhancing security through the adoption of generative AI (GenAI), around 41% view it more as a security threat than an opportunity.

This perspective is influenced by cybersecurity risks associated with GenAI, with 50% of respondents concerned about potential misuse within their organizations. Additionally, 74% of respondents emphasize that GenAI’s effectiveness heavily depends on the quality of the data used.

“GenAI presents immense benefits but also serious concerns regarding security, governance, and data quality,” says David Cummins, Senior VP of EMEA at Tenable. “GenAI can amalgamate data from various sources, simplifying complexities for organizations. However, these decisions must be based on reliable data. Unique data equates to unique intelligence guiding decisions — it’s a case of ‘gold in, gold out.’”

He adds, “Every organization’s attack surface is expanding with the growing use of cloud services, virtualization platforms, microservices, applications, and code libraries. This expansion means organizations face vulnerabilities, cloud misconfigurations, and risks tied to identity access, groups, and permissions. When harnessed correctly, GenAI can help security teams swiftly identify exposures, prioritize actions, and see connections across the entire attack surface.”

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