Trend Micro
Reports
All Statistics
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.
Higher audio quality deepfake synthesis services typically cost upwards of $1,000 a month, but many platforms offer decent output starting at just $5.
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.
Many audio deepfake services offer one-shot voice generation, requiring just a few seconds of source material.
The first deepfake audio-enabled CEO scam occurred in 2019.
100% of IT and cybersecurity professionals say they are either currently using (86%) or evaluating their deployment (14%) private 5G networks.
50% of IT and cybersecurity professionals say they Deploy strict access controls for AI models to safeguard AI use for traffic monitoring/analysis are.
On average, less than a fifth (18%) of organisations' security budget is currently allocated to private 5G networks.
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.
More than nine in ten organizations currently using AI security admit to facing challenges in deploying the tech to 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%).
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.
44% of IT and cybersecurity professionals say they use data anonymisation techniques to safeguard AI use for traffic monitoring/analysis are.
Responsibility for CT security often lies with the CTO (43%) and CIO (32%).
51% of IT and cybersecurity professionals say they encrypt data at rest and in transit to safeguard AI use for traffic monitoring/analysis are.
39% believe that if you don’t manage asset-related risks properly, it will weaken your standing in the marketplace, making it harder to win new business or keep up with rivals.
42% of respondents said that if you don’t manage asset-related risks properly, you’re likely to experience disruptions to day-to-day operations—e.g., outages, downtime, or process failures.
75% of cybersecurity incidents occur due to unmanaged assets.
55% of organizations surveyed said they have no processes in place to continuously manage attack surface risk.
Just 43% of global organizations use dedicated tools to proactively manage risk across their attack surface.
On average, only 27% of responding organizations' budgets are dedicated to managing attack surface risk.
77% of companies claimed that their current resources are adequate for addressing attack surface challenges
91% of respondents acknowledged that attack surface management is either directly or somewhat connected to their organization's business risk.
73% of cybersecurity leaders surveyed have experienced security incidents due to unknown or unmanaged assets.
39% believe that if you don’t manage asset-related risks properly, it will erode customer confidence and damage your brand image.
39% believe that if you don’t manage asset-related risks properly, it will have impacts on your supply chain partnerships.
38% of respondents believe that if you don’t manage asset-related risks properly, it can lead to link to drops in staff efficiency.
38% believe that if you don’t manage asset-related risks properly, it can impact financial performance.