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TREND

1

AI Expands the Identity Landscape

Authentication now has to account for people, machines, and AI agents accessing systems and data.

TREND

5

Authentication Becomes a Business Trust Issue

Security leaders have to balance stronger assurance with usability, customer trust, and cost.

TREND

2

Passkeys Move Into the Mainstream

More organizations have embraced passwordless authentication. Many are grappling now with where and how to deploy it effectively.

TREND

3

Identity Verification Gets Harder

AI-powered impersonation, phishing, and voice cloning are putting more pressure on account recovery and help desk verification.

TREND

4

Non-Human Identities Require More Control

Applications, workloads, service accounts, and AI agents need clear ownership, limited access, and stronger oversight.

The 2026 Authentication Question

Who or what is requesting access, what can it reach, and how confident are we that the access is legitimate?

How Pillar Can Help

Every organization's authentication journey is different—shaped by its risk profile, user base, industry, and operational model. At Pillar, we bring clarity to complexity. We partner with security leaders to evaluate the right authentication strategies, help identify and procure tools that align with your environment, and support seamless implementation that minimizes disruption and maximizes protection.

 

Whether you're exploring passwordless for the first time or looking to unify fragmented access systems, we can help you move forward with confidence. Let's make authentication work for your business — securely, strategically, and sustainably.

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For more information and contact information,
please visit www.ptechcyber.com

For more detail on these 2026 Authentication Trends, read our blog 

5 AUTHENTICATION
TRENDS 2026

WHAT SECURITY LEADERS NEED TO KNOW

Authentication used to answer a relatively straightforward question: Is this person who they claim to be?

In 2026, that question is getting tougher.

AI can make impersonation more convincing. AI agents are beginning to access systems and take actions on behalf of people. Meanwhile, organizations are managing a growing mix of employees, customers, partners, applications, service accounts, and machines that all need the right access without exposing sensitive data.

The underlying concept is the same, but the methods are shifting. 

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