90% of surveyed executives expect to scale, optimise, or innovate with AI within the next two years.

Gartner predicts that Spending on AI-optimised servers will double that of traditional servers in 2025, reaching $202 billion.

Half of respondents said their organisation will divert capital allocations from other budget areas to fund AI initiatives.

12% of enterprises are waiting for security controls to be ready before deploying AI.

Wallarm tracked 439 AI-related CVEs in 2024.

21.5% of AI vulnerabilities are indirectly tied to APIs, including flaws in third-party integrations.

89% of AI-powered APIs relied on insecure authentication mechanisms, like static keys.

57% of AI-powered APIs were externally accessible.

Nearly 2 in 5 organisations are counting on cost savings from AI-driven efficiencies to pay for the technology.

85% of businesses face challenges in scaling and operationalising AI across their businesses.

93% of businesses acknowledge that AI must be "fully integrated" into their processes to maximise their return on investment.

66% of organisations expect AI to have the most significant impact on cybersecurity in the year to come, but only 37% report having processes in place to assess the security of AI tools before deployment.

47% of organisations cite adversarial advances powered by generative AI (GenAI) as their primary concern.

84% of organizations say a lack of transparency in applying AI applications within business processes is causing regulatory compliance issues.

35% of enterprises are just beginning their AI journey.

63% of enterprise leaders believe AI increases API security risk.

Only 36% of respondents said their organisation has a dedicated AI fund.

AI vulnerabilities increased by 1,025% from 2023 to 2024.

77.4% of API-related vulnerabilities in AI products are directly API-related, such as weak API authentication, inadequate rate limiting, and broken access controls.

79% of businesses that deploy AI lack a way to control, manage and sustain it effectively.