The shift toward multi-cloud environments is driving a 125% increase in collaborative monitoring models.

More than half of all AI workloads already reside in a combination of private cloud and on-premises environments.

Each neglected cloud asset contains on average 115 vulnerabilities.

50% of respondents said the specific needs of AI workloads are the reason why AI workloads are in a combination of private cloud and on-premises environments.

84% of organizations now use AI in the cloud.

For public cloud deployments, the highest ranking challenges (at 43%) are migration of apps and data, and technical skills or feasibility.

36% of organizations have at least one cloud asset supporting more than 100 attack paths.

31% of organisations claim full automation in their cloud security process.

Security teams receive an average of 4,080 alerts per month from multiple cloud security tools.

Of security teams who are not fully confident in their cloud security, 71% do not believe their current tools can cover all aspects of their cloud environment.

The manufacturing, transport, and logistics industries are 88% more likely than average to use manual cloud security processes still.

It takes an average of 7.7 days, up to 30 days, to correlate alerts across cloud tools and organizational silos.

55% of organisations operate in multi-cloud setups.

85% of organisations still using manual processes are planning to automate within the next 12 months.

Of security teams who are not fully confident in their cloud security, 68% cite the cost of operationalising cloud security tools as too high.

96% of security teams say they are confident in their cloud security.

63% of organizations deploy more than five cloud runtime security tools.

9 in 10 users (90%) agree open cloud security tools are a primary driver of innovation in their security programmes.

Organisations detect an average of 17 vulnerabilities in their cloud environments per week.

36% of healthcare leaders admit their current cybersecurity tools cannot protect cloud-based patient data.