56% of security leaders now experience cybersecurity-related downtime caused by SaaS and other third-party application issues often or very often, nearly triple the rate in 2024.

Organizations spend a median of $24.5 million annually on AI tools that prevent and respond to downtime.

Nearly 20% of marketing professionals report it takes an entire quarter to recover brand health after remediation.

98% of organizations with the lowest downtime costs confirm end-to-end visibility is very or extremely important for reducing incidents.

71% of technology executives rate publicly disclosing a data breach as very or prohibitively disruptive, up from 23% in 2024.

90% of tech leaders report increased demand for customer support during downtime.

All technology leaders report their organization has experienced some form of AI-related downtime.

68% of technology leaders express concern that their AI agents will behave unpredictably.

About three-fourths of ITOps and engineering leaders identify end-to-end observability as their top investment priority to improve infrastructure resilience.

66% of ITOps and engineering leaders are prioritizing investments in automation to mitigate the risks of human error.

85% of technology leaders prioritize AI-driven security automation.

2,130 AI-related vulnerabilities were reported in 2025, a more than 200% increase since 2023.

Of the 48,000+ CVEs published in 2025, only 58 represented a genuine, discoverable, and exploitable threat to enterprise supply chains.

More than 48,000 CVEs were published in 2025, an 18% increase year-over-year.

97% of organizations commit to implementing AI.

57% of organizations report a significant capacity gap in AI security and risk management.

Capability gaps exist across the AI stack: 57% report gaps in AI security and risk management, 57% in AI operations and monitoring, 54% in cost optimization, and 45% in AI infrastructure expertise.

57% of organizations are upskilling existing staff as the primary response to talent gaps, compared with 49% hiring new technical staff.

Upskilling outperforms hiring: it provides a 7.9x advantage in business context, a 7.7x advantage in staff retention, a 7.3x advantage in team cohesion, a 5x advantage in total cost, and a 3.5x advantage in quality of work.

Mobile application attack rates climbed 58% between 2022 and 2026, rising from 55% to 87%.