Cisco’s latest 2026 Data and Privacy Benchmark Study surveyed 5,200 technology and security professionals across 12 global markets and found that 90% of organizations have already expanded their privacy programs to support AI initiatives. Moreover, 93% plan to increase spending further, with 38% of respondents reporting that they allocated at least $5 million to privacy initiatives in the past year—nearly triple the 14% who did so in 2024. Cisco highlights that robust privacy frameworks are now viewed as essential enablers of AI agility and customer trust, with 96% of companies linking strong privacy controls to faster innovation cycles and 95% citing privacy as a pillar of user confidence in AI-driven services.

While organizations recognize the strategic value of data governance—99% report tangible benefits such as improved agility, innovation and customer loyalty—many struggle to operationalize it at scale. Cisco’s report shows that 65% of firms cannot efficiently access high-quality data needed for AI training, due to fragmented data sources and inconsistent metadata standards. Only 12% describe their AI governance structures as mature, even though three-quarters have established dedicated oversight bodies. These gaps in data hygiene, transparency and oversight risk undermining automated decision-making and could expose enterprises to regulatory and reputational risks if unaddressed.

Global data residency requirements are creating a complex landscape for multinational enterprises. Cisco’s study reveals that 81% of organizations face heightened demands for local data storage, yet 85% say these rules add cost, complexity and risk to cross-border service delivery. Seventy-seven percent report that localization mandates limit their ability to offer seamless 24/7 operations across regions. In response, 83% of respondents are advocating for more harmonized international data transfer standards to reduce friction, while 82% prefer technology partners with a proven global footprint to manage trans-regional data flows securely and at scale.