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Industry Brief

State of Privacy Management in Technology

How Leading Tech Firms Are Navigating AI, Privacy & Compliance

The pace of innovation in technology is unprecedented—and so are the risks.

From AI-generated code to decentralized data architectures and frontier technologies, tech companies face a complex and rapidly changing privacy landscape. The 2025 State of Privacy Management in Technology provides in-depth, data-driven insights into how leading technology firms are addressing today’s most pressing privacy, compliance, and AI challenges.

Whether you’re a privacy leader, chief data officer, or AI product owner, this report serves as your roadmap for navigating compliance in an AI-driven economy—while positioning your organization as a leader in trust and accountability.

AI adoption has gone mainstream, with 78% of companies using it—and 85% of technology firms using AI to support privacy operations. But with this growth comes risk. Technical complexity, regulatory fragmentation, and internal accountability gaps are putting even mature privacy programs to the test.

Download the brief to explore:

  • Why 75% of tech leaders say they must do more to improve privacy, despite ranking #1 on TrustArc’s Global Privacy Index
  • Where privacy challenges are most intense, including managing data subject requests, strengthening internal programs, and addressing threats from within
  • How firms are operationalizing privacy at scale, with 97% reporting dedicated privacy teams and a shift toward automated compliance software
  • What distinguishes firms that have suffered AI-related consequences, such as biased decisions or reputational damage, and how they’re responding
Key takeaways include:
  • 85% of tech companies utilize AI to support privacy, but the complexity is rising rapidly.

  • 75% believe they must do more to meet rising privacy and AI compliance expectations.

  • Technology leads all sectors in terms of privacy maturity, but high risks and internal challenges remain.

“The most pressing challenge is no longer simply complying with privacy regulations, but engineering and managing AI systems whose technical intricacies stretch beyond existing oversight models.”

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