Cybersecurity Statistics

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Trend Micro

Cybersecurity reports and statistics published by Trend Micro

5 categories3 reports

Research Reports

Reports and publications from Trend Micro

Deepfake It Till You Make It: A Comprehensive View of the New AI Criminal Toolset

Trend Micro joint research with CTOne on 5G networks security

AI is Changing the Cyber Risk Game. Are You Keeping Up?

Recent Statistics & Reports

The first deepfake audio-enabled CEO scam occurred in 2019.

Higher audio quality deepfake synthesis services typically cost upwards of $1,000 a month, but many platforms offer decent output starting at just $5.

In January 2025, a threat actor offered on-demand deepfake image creation services for defeating KYC checks, mentioning tools like DeepFaceLive, DeepFaceLab, and AI Voice Changer, having bypassed KYC checks from two different cryptocurrency exchanges.

Many audio deepfake services offer one-shot voice generation, requiring just a few seconds of source material.

Deep nudes services offer free trials or limited free plans, with paid versions being relatively affordable, with subscriptions ranging from just $9.99 to $22 per month.

In early December 2024, a criminal on an underground forum was offering a tutorial and playbook for KYC bypass services, including: a licensed version of VcamPro aka Vcam virtual Android camera application, a fake iPhone Camera application for iOS versions 15 and 16, and private deepfake video tool that requires a GeForce RTX 2070 graphics card or more advanced technology.

51% of IT and cybersecurity professionals say they encrypt data at rest and in transit to safeguard AI use for traffic monitoring/analysis are.

50% of IT and cybersecurity professionals say they Deploy strict access controls for AI models to safeguard AI use for traffic monitoring/analysis are.

Nearly all IT and cybersecurity professionals said they are either currently using (62%) or planning to use (35%) AI-powered security tools for private 5G networks.

The most frequently cited challenges in deploying AI security to private 5G networks are: High costs (47%), Concerns over false positives/negatives (44%), A lack of internal expertise (37%).

100% of IT and cybersecurity professionals say they are either currently using (86%) or evaluating their deployment (14%) private 5G networks.

On average, less than a fifth (18%) of organisations' security budget is currently allocated to private 5G networks.

Just a fifth (20%) of global organisations have a dedicated team for securing their communications networks.

44% of IT and cybersecurity professionals say they use data anonymisation techniques to safeguard AI use for traffic monitoring/analysis are.

The AI-powered capabilities viewed as essential for private 5G networks are: Predictive threat intelligence (58%), Continuous, adaptive authentication (52%), Zero trust enforcement (47%), Self-healing networks featuring AI automation (41%).

54% say they Ensure compliance with data privacy regulations like GDPR to safeguard AI use for traffic monitoring/analysis are.

51% of IT and cybersecurity professionals say they encrypt data at rest and in transit to safeguard AI use for traffic monitoring/analysis are.

The most frequently cited challenges in deploying AI security to private 5G networks are: High costs (47%), Concerns over false positives/negatives (44%), A lack of internal expertise (37%).

54% say they Ensure compliance with data privacy regulations like GDPR to safeguard AI use for traffic monitoring/analysis are.

50% of IT and cybersecurity professionals say they Deploy strict access controls for AI models to safeguard AI use for traffic monitoring/analysis are.

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