A 1,740% Surge in Deepfake Fraud due to Voice Cloning Scams
HAWK 7
Real-Time Deepfake Voice Detection Analyzes live voice streams and detects AI-generated or cloned speech.
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VYRA 9
Real-Time Deepfake Video Detection Detects manipulated video or fake visuals in live or recorded streams.
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PRIVA 3
Deepfake Audio & Image Verification
Authenticates voice messages and photos on WhatsApp, Telegram, or Signal.
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AURA ID
Prominent Individual Protection
Screens social media and other prominent channels for any manipulated or AI-generated content with the customer’s likeness.
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Research, Insights, and Case Studies
To strengthen understanding of how artificial intelligence is reshaping communication, trust, and security.
Through our research, we document not only the technical challenges of synthetic media detection, but also the broader implications for human integrity in digital systems.
The SYNHAWK Insights library brings together publications, field studies, and data-driven analyses from the front lines of AI security — spanning telecommunications, finance, and critical infrastructure.
Each article, whitepaper, or report is part of a continuous effort to make trust measurable, explainable, and defensible in the age of synthetic reality.
Research / Technical Whitepapers
Peer-reviewed and technical papers exploring the architecture, algorithms, and methodologies behind SYNHAWK’s foundation models.
Real-time audio integrity verification at network scale
Visual integrity models for live video streams
DeepSpeak & DeepAction: benchmarks for synthetic media detection
Each publication is authored by SYNHAWK researchers and collaborators from leading AI institutions.
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Industry Reports
Analytical briefings on the evolving threat landscape — from AI-driven vishing to large-scale identity simulation.
Combining intelligence data, regulatory insight, and field deployment metrics, these reports help operators and decision-makers anticipate and counteract synthetic media risks.
Produced in collaboration with telecom providers, financial institutions, and government agencies across Europe, Asia, and North America.
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Case Studies
Evidence from live deployments of SYNHAWK technology
Each case study examines performance under operational conditions — accuracy rates, latency benchmarks, and impact on fraud mitigation KPIs.
These studies demonstrate how trust architecture can scale within existing network infrastructure without compromising privacy or performance.
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News & Press
Updates on partnerships, research milestones, and media coverage of SYNHAWK’s technology and impact.
Highlights include production deployments in LinkedIn and YouTube workflows, collaborations with UN-affiliated security programs, and thought leadership in AI safety.
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Research
Reports
Case Studies
News & Press
Insight:
ENISA Threat max-[1023px]: landscape 2024 + MIT Tech Review AI Threat Outlook“AI-generated voice phishing expected to account for over 50% of vishing incidents by 2025.”
Deloitte
Predicts that generative AI could cause losses of up to 40 billion USD in the United States alone by 2027, with an annual growth rate (CAGR) of around 32%.
GSMA - Combating Vishing: An Analysis of Voice Call Impersonation and Emerging Defences
“77% of vishing attacks against enterprises are successful, giving attackers access to finances, data, and personal identities.
”McAfee – Global Scam Report + projekce GCA (Global Cyber Alliance)
“10% of the global population has already encountered AI-generated scams.”
ENEA – Almost Two Thirds of Enterprises Suffer Significant Losses to Mobile Fraud
“61% of enterprises reported significant losses due to mobile fraud - including vishing and deepfake attacks.”
