Observability
We've curated 50 cybersecurity statistics about Observability to help you understand how monitoring and analyzing system performance is crucial for detecting vulnerabilities and improving response strategies in 2025.
Top Vendors
Showing 1-20 of 50 results
80% of enterprise organizations say security and DevOps use shared observability tools.
100% of IT and security leaders say a unified platform for logs, metrics, and traces would be valuable for their security and DevOps teams.
32% of respondents in Italy cite concern about ROI as their top barrier to AI security.
26% of respondents are concerned about distrust of AI predictions/outcomes.
Exposing vulnerabilities is a top security convergence goal for 40% of German organizations.
32% of respondents in Japan identify improving crisis management as a top security convergence goal.
41% of respondents are concerned about cybersecurity related to AI usage.
Optimizing cloud security is a top security convergence goal for 43% of organizations in France.
46% of organizations reported that their organization uses AI for security operations.
30% of organizations use AI for DevOps and software delivery.
54% of Organizations are using observability solutions for analyzing user interactions within a complex system.
57% of organizations reported that their organization uses AI for data management.
32% of organizations use AI for observability.
69% of AI-powered decisions at organizations are verified by humans.
75% of Organizations reported that their observability budget has increased in the past year.
70% of Organizations expect their observability budgets to increase next year.
29% of organizations consider AI capabilities as a criterion when selecting observability platforms.
18% of respondents are concerned about AI ethics.
17% of respondents are concerned about algorithmic bias in AI.
52% of organizations in France are especially concerned about complex compliance requirements of sustainable AI practices compared to other countries.