// Press & Media

Press Resources

Everything journalists and researchers need to write accurately about Vicall and AI voice clone fraud. Statistics are citable. Boilerplate is ready to use.

Media Contact · Company Facts · Key Statistics · Boilerplate


// Company Facts

About Vicall

Founded
2024
Headquarters
Pittsburgh, PA
Product
phone social-engineering protection platform
Deployment
Mobile (iOS, Android) and on-premises (Mac mini) for analog landlines
Technology
On-device AI inference — CoreML (iOS), ONNX (Android)
Detection latency
Under one second
Detection accuracy
90–95% of AI voice clones
Customers
Businesses, governments, nonprofits, and educational institutions
Distribution
Direct and through MSP channel
Short boilerplate (1 sentence)
Vicall is a phone social-engineering protection platform that identifies synthetic audio and optional risky phrases on live phone calls, deployed on mobile devices and analog landlines for businesses, governments, nonprofits, and schools.
Long boilerplate (2 sentences)
Vicall provides real-time phone social-engineering protection for organizations that rely on phone calls to authorize transactions, approve decisions, or share sensitive information. The platform runs on-device — using CoreML on iOS and ONNX on Android — and deploys on analog landlines via an on-premises Mac mini, requiring no infrastructure changes while protecting calls from AI voice clones and high-risk social-engineering language.

// Citable Statistics

Key Numbers

The following statistics are sourced from FBI IC3 annual reports, FTC consumer sentinel data, McAfee threat intelligence, Pindrop security reports, and Vicall internal analysis. All may be cited with attribution to Vicall (vicallapp.com/stats).

3.1B
Deepfake voice calls placed in 2024
$25B
Lost to voice fraud annually (global)
$35M
Lost in a single CEO voice cloning incident (UAE bank, 2020)
2,400%
Year-over-year growth in voice cloning attacks (2022–2024)
5–10%
Human accuracy at detecting AI voice clones, even among trained professionals
90–95%
Voice clones caught by Vicall's on-device detection model
<1s
Vicall detection latency on-device
73%
Organizations with no voice-specific fraud detection in place
$2.9B
Real estate wire fraud losses in 2023 (FBI IC3)

// Incident Reference

Documented Voice Fraud Cases

Journalists may cite these cases. All are publicly confirmed.

Year Organization Loss Method Outcome
2020 UAE bank (unnamed) $35 million CEO voice clone — manager authorized wire transfer after cloned call from "director" Funds transferred; FBI confirmed AI-generated voice
2019 UK energy firm (unnamed) $243,000 CEO voice clone — executive wired funds after cloned call from "parent company CEO" Funds transferred; widely reported as first confirmed case
2023 Ferrari (attempted) $0 Executive impersonation via voice clone — stopped when attacker couldn't answer a verification question Attempt failed; Ferrari publicly disclosed
2024 Hong Kong multinational (unnamed) $25.6 million Deepfake video call — employee transferred funds after "CFO" and "colleagues" appeared on video call Funds transferred; Hong Kong police confirmed
2024 Multiple US firms (FTC report) $190M aggregate Vishing and voice-assisted BEC campaigns Ongoing; FTC enforcement actions filed

// Media Contact

Expert Availability

// Story Angles

Pitch Angles for Journalists

AI & Fraud

"The $25B threat no one talks about on phone calls"

AI voice cloning has transformed phone fraud — from crude impersonation to real-time undetectable replicas. Every wire transfer authorization that happens over the phone is now at risk.

Small Business

"Small businesses receive 350% more attacks per employee"

Voice clone fraud specifically targets organizations without IT departments or fraud controls — the 30 million small businesses in the US that process payments over the phone daily.

Privacy Tech

"On-device AI: the only architecture that doesn't create a honeypot"

Security that requires sending call audio to a cloud server isn't security — it's a different attack surface. On-device inference is the privacy-first counterargument to cloud AI security products.

MSP Market

"Why MSPs are the right delivery channel for voice security"

Managed Service Providers already protect small business IT infrastructure. Voice fraud protection — deployed from a single portal across an entire client base — is a natural extension of that relationship.

We respond to Connectively (formerly HARO) queries on: AI fraud, voice security, cybersecurity for SMBs, on-device AI, and MSP market trends.

Media Contact

Vicall's founder is available for comment, quote, and background on phone-based social engineering, AI voice fraud, synthetic-audio detection, and cybersecurity for businesses and MSPs. Written responses to specific technical questions available within 24 hours.

press@vicallapp.com
Response time Within 24 hours · Urgent requests flagged
Available for Quotes · Background · On-record interviews · Data access
Topics available for comment AI voice cloning attacks · Synthetic audio detection methodology · Voice fraud statistics · MSP security deployment · On-device AI inference · Wire fraud recovery · FBI Financial Fraud Kill Chain · HIPAA & voice fraud · Small business voice security

For technical questions about detection methodology, deployment architecture, or accuracy benchmarks — include specifics in your inquiry and we will provide documented, on-record written responses. All statistics cited on this site have primary source links available on request.