SolarWinds
Reports
All Statistics
24% of UK public sector IT professionals say AI governance is lagging behind the pace of adoption.
30% of UK public sector IT professionals have a formal AI governance framework that is actively enforced.
41% of UK public sector IT professionals identify insufficient visibility into AI tool behaviour and activity as a major AI cybersecurity vulnerability.
65% of IT professionals report that AI reduces manual effort.
IT professionals see their roles as 41% more complex compared to two years prior.
IT professionals see their roles as 52% more automation-driven compared to two years prior.
75% of IT professionals say lack of coordination between teams (e.g., network, infrastructure, applications, and database) hinders effective observability
47% of IT professionals cite security concerns as a barrier to fully operationalizing AI in observability
37% of IT professionals cite employee reluctance or resistance as a barrier to fully operationalizing AI in observability
70% of IT decision-makers and influencers from Federal, State, Local, and Education sectors reported government (private) cloud as the most prevalent environment in 2024.
73% of IT decision-makers and influencers from Federal, State, Local, and Education sectors cited the complexity of managing hybrid environments as a top challenge.
51% of IT decision-makers and influencers from Federal, State, Local, and Education sectors indicated data protection and privacy concerns, along with safeguarding sensitive information from cyber threats, as the leading security challenges in a hybrid IT infrastructure.
29% of UK public sector IT professionals say AI governance implementation remains incomplete or inconsistent.
16% of UK public sector IT professionals report full compliance with Secure by Design principles.
51% of UK public sector IT professionals say their organisations are either fully or mostly compliant with Secure by Design principles.
84% of UK public sector IT professionals monitor AI behaviour to some extent.
29% of UK public sector IT professionals describe their AI behaviour monitoring as comprehensive.
18% of UK public sector IT professionals say they have comprehensive visibility across their entire IT environment.
44% of UK public sector IT professionals say they have seen an increase in AI-related security incidents or escalations over the last 12 months.
8% of UK public sector IT professionals say AI is fully governed.
81% of IT professionals agree AI is changing how teams work more than how much they work.
IT professionals see their roles as 52% more strategic compared to two years prior.
56% of IT professionals say AI has added the responsibility of designing intelligent AI-driven workflows.
62% of IT professionals report difficulty trusting AI recommendations.
61% of frontline managers say formal training is the most critical element for building AI skills.
59% of IT professionals say AI has added the responsibility of interpreting data and AI-driven insights.
47% of IT professionals say AI has added the responsibility of evaluating and validating AI outputs.
61% of IT professionals report that AI provides faster root cause analysis.
Fewer than 40% of C-suite leaders agree that formal training is the most critical element for building AI skills.
71% of IT professionals report needing to double-check AI outputs.
83% of IT professionals agree AI is only as effective as the data it can see.
67% of IT professionals report at least moderate fragmentation in their IT environments.
80% of IT professionals agree the IT role is shifting from operators to orchestrators.
IT professionals see their roles as 47% more cross-functional compared to two years prior.
71% of IT professionals say AI has made their role more demanding.
45% of IT professionals use AI to accelerate root cause analysis
45% of IT professionals use AI to predict capacity and performance issues
42% of IT professionals cite skills gaps as a barrier to fully operationalizing AI in observability
55% of IT professionals report using too many monitoring and observability tools
45% of IT professionals use AI to reduce alert noise and fatigue
64% of IT professionals say unified observability across all layers of the IT stack is very important to their team's success
90% of IT professionals express confidence in AI’s ability to improve monitoring and observability operations
41% of IT professionals cite complexity of technology as a barrier to fully operationalizing AI in observability
77% of IT professionals cite limited visibility across on-premises and cloud environments
47% of IT professionals use AI to automate incident prioritization
33% of IT professionals cite budget constraints as a barrier to fully operationalizing AI in observability
62% of IT decision-makers and influencers from Federal, State, Local, and Education sectors cited data privacy and security concerns as a top challenge in their digital transformation journey.
23% of UK public sector IT professionals cite budget constraints as the most significant obstacle to maintaining or improving IT security.
Over half of IT decision-makers and influencers from Federal, State, Local, and Education sectors report their IT environment is extremely or very complex to manage.
55% of IT decision-makers and influencers from Federal, State, Local, and Education sectors cited issues with legacy system integration as a challenge.