CI/CD-Based Deployment
Cybersecurity statistics about ci/cd-based deployment
Showing 21-40 of 10000 results
49.2% of organizations report security issues related to AI-generated code are hard to catch week-to-week.
44.7% of organizations already run AI-generated code in production.
35% of organizations use AI to write code but do not ship that AI-generated code to production.
68.7% of teams use AI for documentation tasks.
65.9% of teams use AI for unit testing.
Only 3.6% of organizations say AI-introduced issues never reach production.
44.1% of organizations report performance impacts from AI-generated code are hard to catch week-to-week.
62.5% of security stakeholders, 51.5% of compliance stakeholders, 46.9% of CTOs and CIOs, and 40.8% of legal stakeholders report concerns about AI-generated code.
45.6% of organizations purchased code quality analysis tools to address AI-generated code risks.
39% of organizations added automated code review to address AI-generated code.
76.4% of organizations say a solution mitigating the risks of AI-generated code would be very or extremely valuable.
64.4% of IT and business leaders identify securing AI data flows as the top reason organizations invest in DSPM solutions, surpassing data exfiltration prevention at 56%.
45.3% of IT and business leaders identify maintaining consistent security policies across cloud providers as their top concern.
More than 85% of IT and business leaders expect automated remediation to reduce workloads.
One-third of IT and business leaders anticipate workload reductions greater than 50% from automated remediation.
51.8% of IT and security professionals report full visibility into sanctioned and unsanctioned AI tool usage.
47.4% of IT and security professionals acknowledge only partial or no visibility into individual Shadow AI tools or personal accounts used for work.
57.8% of IT and security managers believe they have full visibility into AI tool usage compared to 45.9% of practitioners.
45% of IT and security professionals identify internal AI systems and large language models (LLMs) as their primary security concern.
44% of IT and security professionals identify cloud infrastructure and application environments as a primary security concern.