2027 Data Breach Forecast: Why Trust Is Becoming the Next Cybersecurity Battleground

by Laura Burrows 2 min read September 29, 2026

At A Glance

AI-powered impersonation, digital doppelgängers and growing consumer skepticism could reshape the data breach landscape in 2027. Here’s what organizations should be preparing for.

The data breach landscape is entering a new era. As artificial intelligence (AI) accelerates cybercrime, stolen information accumulates and consumers become increasingly skeptical of digital interactions, organizations may face challenges that extend well beyond preventing the next breach.

The numbers already point to growing risk. The Identity Theft Resource Center recorded1,803 data compromises and more than 471 million victim notices in the first half of 2026 alone. Meanwhile, consumer fraud losses reached nearly$16 billion in 2025, up from $12.5 billion the year before.

Experian’s 14th Annual Data Breach Industry Forecast: Consumers at Risk looks ahead to the trends that could reshape cybersecurity, fraud and breach response in 2027.

When seeing is no longer believing

This year’s forecast explores a growing challenge for businesses: establishing trust in an environment where AI can make fraudulent identities, communications and interactions increasingly difficult to distinguish from legitimate ones.

Among the trends Experian is watching are the growing importance of identity verification, the potential evolution of AI-powered identity crime and mounting “trust fatigue” among consumers.

That last issue could become particularly important following a data breach.56% of consumers are already very or extremely concerned about AI-enabled scams.As impersonation becomes more sophisticated, organizations may need to consider not only what they communicate during a breach, but how they demonstrate that those communications can be trusted.

Prepare for what’s next

Drawing on our more than two decades of experience helping companies navigate data breaches, our forecast offers a look at emerging risks and what they could mean for businesses and consumers in the year ahead.

Related Posts

How to Deliver Data-Driven Customer Experiences

A data-driven credit customer experience offers personalization and low friction — it's a win-win for consumers and businesses.

November 5, 2026 by Zohreen Ismali
Stop Fraud Without Stopping Commerce: Rethinking Identity Confidence in E-Commerce

Digital commerce is creating more ways to shop and more ways for fraud to hide. Discover how you can effectively prevent e-commerce fraud.

November 5, 2026 by Kim Le
Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe