A Google Cloud and Cloud Security Alliance survey of 2,486 IT and security professionals finds that 63% believe AI could help in threat detection and response
Generative artificial intelligence technology is fast finding a home in cybersecurity operations, as a comprehensive …
Context & Ripple Effects
Google Cloud had already positioned generative AI for security operations through its Security AI Workbench announcement, while earlier Gartner research recorded rapid growth in enterprise AI deployment. This survey adds security practitioners’ demand signal to that product-led arc.
The finding matters because it identifies threat detection and response—not merely general productivity—as a concrete operational use case where respondents see potential value.
First-order effects
- Google Cloud and the Cloud Security Alliance gain evidence that a substantial share of surveyed IT and security professionals view AI as potentially useful in detection and response workflows.
- Security teams evaluating generative AI have a clearer rationale to test it around alert triage and incident-response support, while retaining human judgment because the result measures belief rather than demonstrated outcomes.
Second-order effects
- Cloud-security vendors face pressure to make AI-assisted detection and response easier to evaluate and govern, rather than treating generative AI as a general-purpose feature.
- Buyers will increasingly compare security AI offerings on operational fit—how they support analysts’ response work—alongside the broader enterprise AI adoption momentum reflected in Gartner's enterprise AI deployment survey.
Third-order effects
- If practitioner interest translates into sustained deployment, AI could become a standard layer in security operations, shifting differentiation toward trustworthy workflow integration and measurable response quality.
- Because security AI is dual-use, wider use in defensive operations is likely to raise the importance of controls, oversight and assurance rather than eliminate the need for security professionals.
The trend: Cybersecurity is becoming an early operational proving ground for enterprise AI, with adoption shaped as much by governance and reliability as by automation potential.