35% of respondents said cost is the reason why AI workloads are in a combination of private cloud and on-premises environments.

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.

56.3% of North American (NA) firms have no plans to introduce AI for compliance in the next twelve months.

85% of organizations have plaintext secrets embedded in their source code repositories.

There has been an increase in firms enabling and monitoring channels of over 28% in the last two years.

42% of organisations that implemented NetSecOps models reported enhanced security benefits.

There has been a near 20% drop in firms electing to ban channels since 2023.

Respondents with good packet capture abilities were almost 35% more likely to resolve issues in under three hours.

On average, enterprise SIEMs only have detection coverage for 21% of adversary techniques defined in the MITRE ATT&CK framework. This is a 2% increase in coverage from the 2024 report.

79% of MITRE ATT&CK Techniques used by adversaries are missed by enterprise SIEMs.

51% of respondents said compliance and regulatory demands are the reason why AI workloads are in a combination of private cloud and on-premises environments.

Double the number of respondents with strong packet capture reported a significantly shorter Mean Time to Detection MTTD rate over the past year compared to those lacking strong packet capture capability.

In 2024, 29.5% of respondents were struggling to get staff to stick to compliance policies. In 2023, 61.5% of respondents were struggling to get staff to stick to compliance policies

Respondents with good packet capture abilities were four times more likely to resolve issues in under an hour.

Just 31.7% of EMEA-based firms agree that banning communications channels is an effective compliance solution.

93% of organizations have at least one privileged service account, linked to Kubernetes adoption

56% of respondents said enhanced security is the reason why AI workloads are in a combination of private cloud and on-premises environments.

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

When migrating workloads to private clouds, the top challenges are managing apps post-migration, securing hybrid environments, and lack of technical skills or feasibility, each cited by 38% of respondents

84% of organizations now use AI in the cloud.