48% of gig economy platforms use tamper detection for fraud prevention.

38% of organizations identify runtime as their most vulnerable phase in AI supply chain security.

57% of organizations reported that their organization uses AI for data management.

32% of organizations use AI for observability.

Chargebacks and payment fraud account for 24% of fraud and abuse concerns in the gig economy.

14% of respondents cite driver compensation as a top concern for the gig economy in 2026.

24% of manipulation concerns in the gig economy by 2026 will be related to bots and script automation.

86% of respondents in the gig economy reported Device ID as a widely used fraud prevention tool on their platforms.

69% of AI-powered decisions at organizations are verified by humans.

23% of organizations acknowledge inadequate preparation to address unapproved AI tools and services.

4.1% of analyzed companies use 7 certificate providers.

75% of Organizations reported that their observability budget has increased in the past year.

Promo and referral abuse accounts for 14% of fraud and abuse concerns in the gig economy.

7.4% of analyzed companies use 6 certificate providers.

57% of companies have experienced two or more cyberattacks in the past year.

AI-driven attacks are the number one concern for IT cybersecurity leaders.

31.2% of organizations expect AI Supply Chain Security to require the most new investment in AI security over the next 12 months.

88% of employees associate positive emotions with AI use.

66% of employees cited that AI use made them feel productive.

23% of respondents are only somewhat confident using AI tools and still have concerns around how to use AI tools safely.