Global Privacy Trends and Best Practices for Compliance in 2026
Published: Dec 17, 2025
As organizations expand their digital footprints and adopt AI at scale, global privacy expectations are rising worldwide. At the same time, cyber threats are growing more sophisticated, further driving the need for more advanced, resilient privacy programs to meet both regulatory and security demands.
As a result, global privacy compliance is entering a new phase, marked by tighter enforcement of existing laws, a surge of new regional regulations, and heightened scrutiny on how organizations collect, process, and transfer personal data. In this article, we’ll explore the latest privacy compliance trends that will define 2026 and provide guidance on how to build a resilient privacy program that can keep pace with regulatory change.
Why 2026 Will Be a Defining Year for Global Privacy
Regulators are signaling a clear shift: privacy compliance can no longer be reactive or narrowly jurisdictional. Instead, companies must demonstrate sustained privacy maturity, risk-based data governance foundations, and an ability to adapt quickly as laws evolve.
From AI transparency requirements to increasingly complex cross-border transfer rules, the global privacy landscape is becoming more fragmented, more demanding, and more consequential for organizations of all sizes.
2026 Privacy Compliance Trends
These shifts make 2026 a defining year in privacy compliance, driven by several key trends:
1. New Privacy Laws Moving from Adoption to Enforcement
A new wave of laws will begin to take effect in 2026, including regional and sector-specific privacy regulations across the U.S., APAC, LATAM, and Africa. Many of these introduce provisions that mirror GDPR principles such as extraterritorial reach, consumer rights, and strict consent standards. As a result, companies can expect to face increasingly fragmented compliance obligations.
2. Strengthened Enforcement of Existing Laws
Regulators worldwide have signaled that education and transition periods are ending. Organizations should expect more investigations, higher penalties, and expanded use of private rights of action and class action risk. Enforcement will increasingly target issues tied to AI-driven decision-making, children’s privacy, data minimization, and misuse of sensitive data.
3. Increased Overlap Between AI Governance and Privacy Requirements
With global AI laws and standards accelerating, such as the EU AI Act and rising adoption of ISO 42001, privacy teams now play a central role in ensuring transparency, data quality, and automated decision-making controls. Moving forward, organizations must operationalize AI risk management alongside traditional privacy obligations by establishing AI governance frameworks that include usage policies, human oversight, and AI risk and impact assessments.
4. Evolving Consent and Notice Requirements
More explicit consent standards are on the rise, including biometrics, sensitive data, and AI inference data. Organizations should also expect stronger expectations for transparency in automated decision-making and expanded consumer rights, such as growth of global opt-out signals and universal privacy controls.
5. Increasingly Complex Cross-Border Compliance Expectations
Increasing enforcement of data localization laws is reshaping the global data movement. In 2026, organizations will need more robust requirements for transfer mechanisms and Transfer Impact Assessments (TIAs), tighter monitoring of international data flows, and stronger contractual and technical protections. Sectoral regulators, such as those in financial and healthcare, will also impose stricter data-handling constraints.
6. Advanced Privacy Program Maturity Expectations
Auditors, regulators, customers, and partners are expecting evidence of real operational controls, including governance structures, automated data maps, DPIAs, AI risk assessments, vendor oversight, and privacy-by-design practices embedded in workflows. This expectation has been introduced over the years but 2026 will mark a bigger transition from policy-based compliance to evidence-based accountability.
7. Stronger Supply Chain and Vendor Scrutiny
Global organizations are tightening third-party management, driven by regulations, industry requirements, and AI-specific risk. In 2026, more companies will require suppliers to meet strict privacy and AI governance standards, complete detailed questionnaires, and provide proof of compliance certifications (e.g., HIPAA, SOC 2, GDPR, etc.) to minimize data exposure and risk.
How to Prepare for The New Era of Global Privacy
The legacy approach of uncontrolled data collection, paired with today’s complex governance demands, makes it difficult for late adopters to prioritize the path toward privacy program maturity. However, organizations that move early will be better positioned to reduce legal exposure, accelerate international expansion, and maintain customer trust amid an increasingly complex global regulatory landscape.
Preparing for the next era of global privacy requires strengthening foundational governance, operationalizing AI oversight, and building in the agility to adapt quickly as regulations evolve. Below are actionable steps that can be taken now:
1. Build a future-ready, unified global privacy governance structure
- Establish a strong, cross-functional privacy program backed by executive leadership.
- Define clear mandates, roles, and responsibilities.
- Implement regular risk assessments that incorporate new regulations and enforcement trends.
- Focus efforts on high-risk areas like AI implementation and sensitive data transfers.
2. Strengthen data governance and data quality controls
- Understand where data originates, how it is used, and where it flows across systems.
- Maintain automated data inventories and classification.
- Improve data quality, lineage, and minimization practices.
- Enforce data lifecycle management across collection, retention, and deletion.
3. Embed AI governance into privacy operations
- Conduct AI risk assessments and maintain model documentation.
- Implement controls for explainability, fairness, and data provenance.
- Maintain audit trails for models in production.
- Align with emerging standards such as ISO 42001, NIST AI RMF, and other AI regulations.
4. Modernize cross-border data transfer oversight
- Standardize TIAs and maintain a record of transfer mechanisms.
- Adopt technical measures to reduce transfer-related exposure.
5. Mature vendor and supply chain privacy management
- Implement tiered vendor risk assessments and continuous monitoring.
- Require vendors to provide evidence of privacy and AI governance controls.
- Strengthen contract language around data use, sharing, and subprocessors.
6. Create a continuous monitoring and regulatory intelligence function
- Drive ongoing program maturity and enhancement by automating repeatable tasks.
- Standardize common processes across operating jurisdictions.
- Track new regulations, enforcement updates, and emerging standards.
- Proactively update controls and processes.
- Conduct periodic internal audits to maintain readiness.
7. Invest in training and organizational awareness
- Provide role-based training for formalized policies to ensure teams understand their obligations.
- Educate leadership on emerging risks and strategic inputs.
- Enable a privacy-aware culture by embedding privacy responsibilities into products and teams.
8. Pursue Privacy Compliance Certifications
- Obtain formal, globally recognized privacy certifications to validate and strengthen your privacy governance.
- Consider obtaining Global CBPR/PRP certification, ISO/IEC 27701 certification, and other privacy program assessments.
- Use certifications as strategic trust signals to customers, regulators, and partners.
Moving Forward with Building a Resilient Privacy Program
Preparing for the new era of privacy compliance requires building a program that is data-driven, risk-based, AI-aware, operationally mature, and globally adaptable. Organizations that invest in their privacy programs will be better positioned to navigate 2026 and beyond more confidently while maintaining customer trust amid rapidly evolving expectations.
To learn more about the latest updates in privacy regulations or for more insights on strengthening your privacy program, contact us today.
About Chris Lippert
Chris Lippert is a Director and Privacy Technical Lead with Schellman and is based in Atlanta, GA. With more than 10 years of experience in information assurance across numerous industries, regulations, and frameworks, Chris developed a passion for and concentration in data privacy. He is an active member of the International Association of Privacy Professionals (IAPP), holds his Fellow of Information Privacy (FIP) designation, and advocates for privacy by design and the adequate protection of personal data in today’s business world.