Zscaler reveals top cybersecurity predictions shaping 2026

As digital transformation and artificial intelligence (AI) reshape the corporate landscape, the way businesses protect their digital assets is evolving at an unprecedented pace. Zscaler, Inc. (NASDAQ: ZS), a global leader in cloud security, has unveiled its ten key cybersecurity predictions for 2026, highlighting trends that will redefine corporate defense strategies in an era of increasingly sophisticated threats.

From AI-driven risks to regulatory pressures, organizations must rethink their approach to safeguarding data and infrastructure. This report explores the insights shared by Zscaler and what they mean for businesses across industries.

Facing a crisis of trust in the digital age

One of the most pressing challenges identified by Zscaler is the growing crisis of trust. The proliferation of deepfakes, AI-generated content, and automated cyberattacks is rendering traditional security models obsolete. Predictable security measures are no longer sufficient, and businesses will need to adopt more dynamic, adaptive approaches.

Zscaler predicts a shift from conventional Zero Trust strategies toward asymmetric trust models. These frameworks use deception technologies to protect real assets by creating false ones, confusing attackers and reducing exposure. In practice, this means companies may deploy decoy data, honeypots, and automated traps to safeguard critical systems.

AI transforms security risks and workforce dynamics

Artificial intelligence is no longer just a tool—it is becoming a participant in the corporate ecosystem. Zscaler highlights the rise of agentic AI, as well as the risks posed by unauthorized AI usage by employees, sometimes referred to as “shadow AI.”

This trend introduces new risks: data leaks, legal errors, and policy violations. Organizations will need to treat AI tools as part of their workforce, applying Zero Trust principles not only to human users but also to automated agents. Doing so will be critical in maintaining operational integrity and regulatory compliance.

Evolving zero trust: from least privilege to least information

Zero Trust strategies are evolving beyond access controls. The new model focuses not only on “least privilege”—limiting access rights—but also on “least information”, restricting unnecessary exposure to sensitive data.

This approach requires a comprehensive review of internal and external data flows. By applying Zero Trust principles to API access, third-party services, and internal users, organizations can minimize data leaks and better adhere to increasingly complex regulatory requirements in distributed environments.

Third-party and supply chain risks continue to rise

Dependency on third-party software, open-source solutions, and external services has expanded attack surfaces. Supply chain vulnerabilities are becoming a primary target for cybercriminals.

Zscaler recommends proactive management, including continuous vendor assessment, dependency monitoring, and incident response planning. Companies that integrate these practices will be better positioned to mitigate risks from external partners while maintaining business continuity.

Balancing data sovereignty with business agility

Regulatory compliance is prompting organizations to repatriate data to local jurisdictions, particularly in Europe. While necessary for legal adherence, this can impact user experience and slow operational agility.

Privacy-enhancing technologies (PETs) are expected to gain traction, allowing companies to balance compliance with efficiency. These tools enable data analysis and utilization without compromising security, ensuring businesses remain competitive while respecting regulatory frameworks.

Security leadership expands beyond IT

The role of cybersecurity leaders is evolving. Chief Information Security Officers (CISOs) are merging responsibilities with data management and business strategy, giving rise to positions such as Chief Security Officer.

Modern security leaders must address not only infrastructure protection but also physical security, employee wellbeing, and the ethical deployment of AI. This broadened mandate emphasizes the strategic nature of cybersecurity, making it a boardroom priority rather than just an IT concern.

Regulation and industry collaboration take center stage

New regulations, such as the EU Digital Omnibus Act and revisions to the GDPR, are introducing operational challenges and higher costs. Businesses will need to collaborate closely with technology providers, regulators, and suppliers.

Evaluating vendor claims regarding digital sovereignty and investing in compliance capabilities will be essential. In 2026, collaboration and rigorous oversight will be key drivers of resilient cybersecurity frameworks.

Connectivity as critical infrastructure for AI

AI’s effectiveness hinges on the reliability of the data it consumes. The proliferation of IoT devices and sensors makes secure, ubiquitous connectivity essential.

Monitoring these data streams through Zero Trust platforms will ensure that organizations can scale AI applications safely. Secure connectivity will be a critical infrastructure layer, supporting both agility and defense against cyber threats.

Digital resilience reaches the boardroom

Physical and cyber disruptions are prompting organizations to elevate digital resilience to a strategic priority. Total visibility of data flows and locations is becoming indispensable for informed investment decisions.

Boards will increasingly focus on risk management, recovery planning, and cyber readiness as core components of corporate strategy, reflecting a shift from reactive to proactive security governance.

Post-quantum key exchange adoption and regulation

The move toward post-quantum cryptography is accelerating. Zscaler predicts integration of these standards across browsers, client applications, SaaS platforms, IaaS environments, and CDNs.

Regulatory bodies such as NIST, CSC, and BSI are issuing guidance, while industries like finance are preparing for mandatory adoption. Organizations must anticipate post-quantum requirements to stay ahead of compliance obligations and protect sensitive information against future quantum threats.

Preparing for cybersecurity in 2026

According to Zscaler, companies that aim to protect their digital assets in 2026 will need to:

• Reinforce AI governance and oversight.
• Minimize data exposure across all layers.
• Manage supply chain risks proactively.
• Apply Zero Trust principles universally in automated and regulated environments.
• Foster adaptability, strategic vision, and cross-industry collaboration.

The next wave of cybersecurity will require organizations to think beyond traditional boundaries, integrating technology, policy, and strategy to navigate an increasingly complex threat landscape.

Frequently Asked Questions

What is Zero Trust and how is it evolving?

Zero Trust is a security model that assumes no user or system should be trusted by default. In 2026, it evolves from focusing solely on “least privilege” access to also limiting exposure to sensitive data, or “least information.”

How does AI impact cybersecurity risks?

AI introduces new risks through agentic AI and unauthorized employee use (“shadow AI”), increasing potential data leaks, policy violations, and legal errors. Organizations must treat AI as part of their workforce and apply Zero Trust principles.

Why are supply chain vulnerabilities a major concern?

Third-party software, open-source solutions, and external services expand the attack surface. Cybercriminals increasingly target these dependencies, making continuous vendor assessment and monitoring crucial.

What is post-quantum cryptography and why does it matter?

Post-quantum cryptography protects data from potential threats posed by quantum computing. Regulators are pushing adoption across applications, SaaS, and cloud platforms, making it essential for future-proof security.

How should businesses balance data sovereignty and operational agility?

Companies need to comply with local data regulations while maintaining efficiency. Privacy-enhancing technologies (PETs) allow secure data analysis and utilization without sacrificing compliance or user experience.