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Protecting the Integrity of Human Communication

Built for Telco. Engineered for global scale.

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When the voice can be faked, identity itself is at risk.

Synthetic voices and identities now move through global networks at machine speed. Fraud, impersonation, and misinformation are no longer human-scale problems — they are automated, scalable, and invisible to traditional defences.

“The challenge is not just to detect — but to decide, in real time, what can be trusted.”

Products:

HAWK 7

VYRA 9

PRIVA 3

AURA ID

HAWK 7

Platform Voice Protection

Analyzes live voice streams and detects AI-generated or cloned speech. 

Use Cases: End-user protection, enterprise monitoring, anti-vishing defense.

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VYRA9

Platform Likeness Protection

Detects manipulated or AI-generated visuals in live or recorded video streams. 

Use Cases: Telco video platform protection.

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PRIVA 3

Trusted Channels Protection

Authenticates voice messages and photos in communication with trusted individuals.

Use Cases: Organization leadership, family members, financial representatives.

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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.

Use Cases: Company leaders, government officials, celebrity protection.

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Each module works standalone or within the unified SYNHAWK Secure Communication Suite.
„SYNHAWK restores trust in voice communication“

AI Cybersecurity for Telco Networks — and Every Conversation That Matters

SYNHAWK is the first AI security layer designed to protect the integrity of human communication. 

It identifies synthetic speech, deepfake video, and identity manipulation in real time — directly inside communication streams, giving immediate protection with today’s best detection capabilities. 

And as AI generation evolves, SYNHAWK evolves with it — shifting from detection to cryptographic, key-based protection for truly tamper-proof communication.

What We Deliver

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Real-time deepfake protection

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Proprietary AI voice- and likeness-integrity models

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Zero-trust identity verification — foundation for cryptographic trust

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Telco-grade scalability & API-deployment

From Research to Real Protection.

SYNHAWK was founded on research from Stanford, UC Berkeley, Google DeepMind, and UN-affiliated security projects. Our models are trained on large-scale datasets of real and synthetic speech, and our work has been published at top-tier AI conferences and journals. We collaborate with government and private-sector partners to bring real AI securityto communication networks.

Deep research. Real-world defence.

Voice has become a key attack vector for telecom networks.

+1,300%

increase in synthetic voice fraud (Pindrop, 2025)

44%

of companies targeted by AI audio attacks (Gartner, 2025)

$12B+

in global losses attributed to voice-based impersonation

Regulatory Drivers:
NIS2 • AI Act • DORA — all mandate media authenticity and communication integrity.

Built for Global Networks. Prepared for What Comes Next.

SYNHAWK integrates seamlessly via API, SDK or on-prem deployment. Our models operate with minimal latency — optimized for real-time call flows and compliant with global data protection standards.

Works across telco, call center, and enterprise communication platforms

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Platforms

Private, anonymized voice and likeness signal processing

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Privacy

Cloud or edge inference

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Compute

Restoring Trust to Human Communication. 

We believe every voice and likeness deserves authenticity — and every network, community, and individual deserves integrity. 

SYNHAWK protects the human signal wherever it travels: across telco infrastructure, within trusted communication circles, and around the people most at risk — keeping voice-driven identity verifiable, private, and secure at global scale.

 Because the next cyber frontier isn’t code — it’s the integrity of the human signal and the connections that depend on it.

Ready to protect your communications from the next generation of voice fraud?

Join the telco, security, and high-trust leaders shaping the future of authentic, secure communication. 

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Citations

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.”

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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%.

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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.

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”McAfee – Global Scam Report + projekce GCA (Global Cyber Alliance)

“10% of the global population has already encountered AI-generated scams.”

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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.”

Protecting the human voice and face against next-gen deepfake attacks.