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Cyberus Labs

Passwordless multi-factor authentication using dynamically generated audio tokens for human-to-machine and machine-to-machine sessions, aimed at IoT and connected-device use cases.

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37/100Emerging / Unranked

Overview

Cyberus Labs develops Cyberus Key, a passwordless, multi-factor authentication system built around an unusual delivery mechanism: rather than push notifications or FIDO2 hardware, the system authenticates human-to-machine and machine-to-machine sessions using dynamically generated audio tokens exchanged over high-frequency sound waves between a smartphone and the authenticating device. The company positions this as well-suited to both consumer login flows and machine-to-machine authentication in IoT, industrial, and connected-vehicle settings, where traditional password or certificate-based schemes are harder to deploy at scale.

Based in Katowice, Poland, Cyberus Labs is a small company, with roughly seven employees as of 2026, that has drawn on European Horizon 2020 grant funding along with smaller private investment (reported at approximately EUR 2.8 million cumulatively) rather than a conventional venture-backed funding trajectory. The company lists deployments and integrations spanning online banking, e-commerce, smart home, industrial IoT, and automotive use cases, and its Cyberus Key product has been listed on the Microsoft Azure Marketplace.

Public information on Cyberus Labs is notably thin for a company that has been operating for roughly a decade: there is no recent funding announcement, no named enterprise customer case study, and conflicting founding-year data across business databases, all of which make it difficult to independently verify the company’s current commercial traction versus its underlying technology, which remains a genuinely distinctive approach to passwordless authentication.

Innovation Matrix Assessment

Innovation Velocity 3/10

No recent product releases, funding news, or press coverage were found; the most visible recent activity is a standing Microsoft Azure Marketplace listing rather than a fast-moving release cadence.

Operational Value 3/10

The company operates with roughly seven employees and no independently confirmed customer count, a scale that limits how much operational maturity can be credited relative to larger IAM vendors.

Market Momentum 2/10

Available funding data is old, small, and partly grant-based (EU Horizon 2020) rather than reflecting an active, growing venture-backed trajectory; no recent raise was found.

Category Disruption 6/10

Authenticating via dynamically generated audio tokens exchanged as high-frequency sound between devices is a genuinely unusual mechanism, distinct from the FIDO2/push-notification approaches most passwordless vendors use.

Real-World Efficacy 3/10

No named enterprise customers, independent security assessments, or documented deployment outcomes were found; the Azure Marketplace listing is the only independently verifiable evidence of the product's real-world availability.

Enduring Relevance 5/10

Passwordless machine-to-machine and human-to-machine authentication for IoT and connected devices is a real and growing need, though the company's thin public footprint makes it hard to judge how relevant its specific implementation is to current buyers.

Why CISOs Should Care

Offers an alternative passwordless authentication mechanism for connected-device and IoT environments where certificate management or FIDO2 hardware deployment is impractical.

What Makes It Different

Uses dynamically generated, sound-wave-based audio tokens for device authentication rather than push notifications, biometrics, or hardware security keys.

The Matrix Verdict

37/100 — EMERGING / UNRANKED

A technically distinctive but very thinly evidenced small vendor; the underlying audio-token authentication concept is interesting, but public information does not support confidence in current commercial traction.

Editorial Note: Claims vs. Verified Findings

Company size, HQ, and general funding character are drawn from multiple business databases (Crunchbase, PitchBook, CB Insights, Dealroom) that partially conflict on founding year and exact funding total; this is noted as a data-quality limitation rather than resolved with high confidence. Sector deployment claims (banking, automotive, IoT) are vendor-sourced and not independently confirmed with named customers.

Sources