Loading...

The 2023 Experian Data Breach Industry Forecast

Published: December 8, 2022 by Michael Bruemmer

Reflections, New Predictions, and What to Expect by 2033.

Where We’ve Been: A Cybersecurity Recap

It’s been a decade since Experian released its first forecast. At the time, hacker activity was heating up, and breach “fatigue” was setting in. The report highlighted the budding threat of healthcare incidents, started a conversation about the connection between the cloud, big data, and big international breaches, and was one of the first—if not the first preparedness and response organization to sound the alarm on the cyber insurance surge.

Fast forward to 2023:Clever cybercriminals have not slowed, and data breaches are busier and livelier than ever, with cyberattacks costing organizations $2.9 million every minute1, with major businesses suffering losses of $25 per minute.2

Hold on to your keyboard if you’re wondering where the cybercriminals could go next.

The Tenth Annual Experian Data Breach Industry Forecastfindings offer a road map into the future. findings offer a road map into the future. Literally. It outlines how modern technology, cyber resilience, and cyber recovery will play a role in the next generation of attacks.

Withsix predictions instead of five, this year’s report also candidly reflects on what we got right and where we missed the mark over the last nine years while homing in on what 2023 and 2033 could bring.

Nearly 70% of business leaders feel their cybersecurity risks are increasing, and only 5% of companies2data is probably protected.3

Where We Are: Reality. It’s Not Quite What It Seems

With more than 80% of U.S.4adults expressing some concern about the metaverse and deepfake-enabled attacks up 53% from 2021,52023 could see cyberattacks move into unprecedented and unchartered territory. Will keyboards and screens become easy gateways to widespread attacks in seen and unsuspected ways for corporate entities and consumers alike? What about the continued rise of remote work? Will its staying power reveal vulnerabilities? As technology evolves, so too can scams and increased risk. Are you prepared?

Globally, cybercrime is on track to cost $10.5 trillion annually by 2025.6

Where We’re Headed: Today and 10 Years From Now

The Tenth Annual Data Breach Industry Forecastisn’t a crystal ball, but it’s close. With now ten reports issued and over 18 years of experience servicing, researching, and tracking data breaches, I’ve encountered almost everything in the what-if world of preparedness drills and real-world live incident responses.

I’ll end with this fact. Only time will tell what happens next.

Until then, if you’re a CISO, cyber risk insurer, CFO, General Counsel, or other professional responsible for or connected to cybersecurity preparedness and response, I recommend you review the Tenth Annual Experian Data Breach Industry Forecast. Your company’s future could depend on it.

1-2https://businessinsights.bitdefender.com/what-are-the-biggest-cyber-threats-of-the-future

3https://www.accenture.com/_acnmedia/PDF-96/Accenture-2019-Cost-of-Cybercrime-Study-Final.pdf#zoom=50

4-5https://www.varonis.com/

6Cybersecurity Ventures, Cybercrime Magazine

Related Posts

Click fraud is a costly, often overlooked threat affecting digital businesses. Learn what it is and how behavioral analytics can help stop it.

Published: June 12, 2025 by Devon Smith

Fake IDs have been around for decades, but today’s fraudsters aren’t just printing counterfeit driver’s licenses — they’re using artificial intelligence (AI) to create synthetic identities. These AI fake IDs bypass traditional security checks, making it harder for businesses to distinguish real customers from fraudsters. To stay ahead, organizations need to rethink their fraud prevention solutions and invest in advanced tools to stop bad actors before they gain access. The growing threat of AI Fake IDs   AI-generated IDs aren’t just a problem for bars and nightclubs; they’re a serious risk across industries. Fraudsters use AI to generate high-quality fake government-issued IDs, complete with real-looking holograms and barcodes. These fake IDs can be used to commit financial fraud, apply for loans or even launder money. Emerging services like OnlyFake are making AI-generated fake IDs accessible. For $15, users can generate realistic government-issued IDs that can bypass identity verification checks, including Know Your Customer (KYC) processes on major cryptocurrency exchanges.1 Who’s at risk? AI-driven identity fraud is a growing problem for: Financial services – Fraudsters use AI-generated IDs to open bank accounts, apply for loans and commit credit card fraud. Without strong identity verification and fraud detection, banks may unknowingly approve fraudulent applications. E-commerce and retail – Fake accounts enable fraudsters to make unauthorized purchases, exploit return policies and commit chargeback fraud. Businesses relying on outdated identity verification methods are especially vulnerable. Healthcare and insurance – Fraudsters use fake identities to access medical services, prescription drugs or insurance benefits, creating both financial and compliance risks. The rise of synthetic ID fraud Fraudsters don’t just stop at creating fake IDs — they take it a step further by combining real and fake information to create entirely new identities. This is known as synthetic ID fraud, a rapidly growing threat in the digital economy. Unlike traditional identity theft, where a criminal steals an existing person’s information, synthetic identity fraud involves fabricating an identity that has no real-world counterpart. This makes detection more difficult, as there’s no individual to report fraudulent activity. Without strong synthetic fraud detection measures in place, businesses may unknowingly approve loans, credit cards or accounts for these fake identities. The deepfake threat AI-powered fraud isn’t limited to generating fake physical IDs. Fraudsters are also using deepfake technology to impersonate real people. With advanced AI, they can create hyper-realistic photos, videos and voice recordings to bypass facial recognition and biometric verification. For businesses relying on ID document scans and video verification, this can be a serious problem. Fraudsters can: Use AI-generated faces to create entirely fake identities that appear legitimate Manipulate real customer videos to pass live identity checks Clone voices to trick call centers and voice authentication systems As deepfake technology improves, businesses need fraud prevention solutions that go beyond traditional ID verification. AI-powered synthetic fraud detection can analyze biometric inconsistencies, detect signs of image manipulation and flag suspicious behavior. How businesses can combat AI fake ID fraud Stopping AI-powered fraud requires more than just traditional ID checks. Businesses need to upgrade their fraud defenses with identity solutions that use multidimensional data, advanced analytics and machine learning to verify identities in real time. Here’s how: Leverage AI-powered fraud detection – The same AI capabilities that fraudsters use can also be used against them. Identity verification systems powered by machine learning can detect anomalies in ID documents, biometrics and user behavior. Implement robust KYC solutions – KYC protocols help businesses verify customer identities more accurately. Enhanced KYC solutions use multi-layered authentication methods to detect fraudulent applications before they’re approved. Adopt real-time fraud prevention solutions – Businesses should invest in fraud prevention solutions that analyze transaction patterns and device intelligence to flag suspicious activity. Strengthen synthetic identity fraud detection – Detecting synthetic identities requires a combination of behavioral analytics, document verification and cross-industry data matching. Advanced synthetic fraud detection tools can help businesses identify and block synthetic identities. Stay ahead of AI fraudsters AI-generated fake IDs and synthetic identities are evolving, but businesses don’t have to be caught off guard. By investing in identity solutions that leverage AI-driven fraud detection, businesses can protect themselves from costly fraud schemes while ensuring a seamless experience for legitimate customers. At Experian, we combine cutting-edge fraud prevention, KYC and authentication solutions to help businesses detect and prevent AI-generated fake ID and synthetic ID fraud before they cause damage. Our advanced analytics, machine learning models and real-time data insights provide the intelligence businesses need to outsmart fraudsters. Learn more *This article includes content created by an AI language model and is intended to provide general information. 1 https://www.404media.co/inside-the-underground-site-where-ai-neural-networks-churns-out-fake-ids-onlyfake/

Published: March 20, 2025 by Julie Lee

Financial institutions can help protect clients by educating them on the warning signs of fraudulent lottery scams.

Published: March 12, 2025 by Alex Lvoff