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Capability profile
SilentEdge uses behavioural biometrics and contextual information to assess identity continuously as a person interacts with a device. Zighra describes typing, swiping, tapping, device hold and sensor or network context feeding models that adapt locally. The intended outcome is passwordless access and continuing identity assurance for digital applications and physical systems.
ISED's account of a Royal Canadian Navy pilot describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis performed on the device without sending sensitive data to external servers. The pilot tested access to laptops, doors and mobile applications. It establishes a concrete evaluated use case, although the account does not publish biometric error rates or an independent performance report.
The current SilentEdge page remains an active product offering. Its integration requirements should be established for the present software and device configuration. An older SensifyID Android guide describes web-service calls and integrator-selected thresholds, but belongs to a 2018 product generation and should not be treated as SilentEdge's current architecture. GenesysInsights' GNSS functions and IntentHunter's counter-UAS trial are separate products.
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
ISED reports a Royal Canadian Navy pilot supported through the ISC Testing Stream. The published account describes the access workflow but gives no independent biometric error-rate evaluation. Follow-on federal business reported across Zighra innovations is not solely SilentEdge sales.
SilentEdge remains a company offering. The inspected current federal Pathway to Commercialization table lists GenesysInsights rather than SilentEdge; confirm the purchasing route and supported configuration for a new authentication deployment.
A technology readiness level is not established by the reviewed public sources.
No reviewed Mission area or released Defence need connection is currently published.
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
Source type: official company product
Supports: Capability · technical tags
True North Map applies the identity-security tag from Zighra's documented capability functions.
Supports: Capability · technical tags
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · core features
Privacy-preserving local processing
Supports: Capability · technical tags
True North Map applies the continuous-authentication tag from Zighra's documented capability functions.
Supports: Capability · technical tags
True North Map applies the passwordless-access tag from Zighra's documented capability functions.
Supports: Capability · technical tags
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · defence applications
Government mobile-device identity assurance
Supports: Capability · capability type
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · defence applications
Passwordless workstation access
Supports: Capability · technical tags
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · technical tags
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · technicaldomainslugs
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · summary
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · core features
Continuous behavioural authentication
Supports: Capability · technical tags
True North Map applies the edge-ai tag from Zighra's documented capability functions.
Supports: Capability · summary
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · technology readiness level
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · core features
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · technical tags
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · core features
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · defence applications
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · defence applications
Physical access credentials This bounded statement is retained for reviewer verification.
Supports: Capability · technical tags
True North Map applies the behavioural-biometrics tag from Zighra's documented capability functions.
Supports: Capability · technicaldomainslugs
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · core features
On-device sensor analysis This bounded statement is retained for reviewer verification.
Supports: Capability · defence applications
High-security user authentication
Supports: Capability · commercial availability
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · technical tags
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · technical tags
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · core features
Passwordless digital and physical access
Supports: Capability · defence applications
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · capability type
Behavioural-biometric identity and access security
Supports: Capability · summary
SilentEdge uses device sensors and machine learning to model user interaction patterns and provide continuous on-device authentication for passwordless access to digital and physical systems.
Supports: Capability · technology readiness level
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · commercial availability
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · defence applications
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · core features
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · technicaldomainslugs
True North Map maps SilentEdge continuous behavioural authentication to communications and cyber from its documented technology functions.
Supports: Capability · commercial availability
SilentEdge is presented by Zighra as a current product and by ISED as available through the federal commercialization pathway.
Supports: Capability · core features
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · defence applications
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · name
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · technical tags
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · name
SilentEdge continuous behavioural authentication
Supports: Capability · technical tags
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · technical tags
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · capability type
Zighra describes SilentEdge as continuous behavioural authentication using typing, swiping, tapping, device hold and contextual sensor/network intelligence. Its models adapt locally; the current page provides no biometric error-rate benchmark, current SDK/device matrix or detailed offline data-flow specification.
Supports: Capability · core features
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Supports: Capability · name
SilentEdge combines behavioural biometrics, sensor analytics and contextual signals for continuous user and device authentication. Models adapt to device interactions such as typing, tapping and swiping, with machine-learning execution described as local to sensor-equipped devices. Organizations can scope continuous authentication and transaction-risk integration; prevention and password-elimination claims are not guarantees of security outcomes.
Government of Canada · Apr 17, 2026
Source type: official report
Supports: Capability · defence applications
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · defence applications
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Innovation, Science and Economic Development Canada
Source type: official report
Supports: Capability · commercial availability
The current eligible-innovations list does not include SilentEdge, despite the April 2026 ISED success story describing PTC availability. Current SilentEdge route eligibility therefore needs confirmation; the separate DeepSense entry does not renew it.
Source type: innovation program
Supports: Capability · summary
The inspected current ISC PTC table lists Zighra GenesysInsights, Ottawa, Military/Digital Enablers, TS7, with expiry January 7 2029. SilentEdge is absent from the current HTML table despite earlier ISED/company descriptions of eligibility. Listing is a purchase route for the named innovation, not an order; no reason for the SilentEdge absence is established.
Supports: Capability · commercial availability
The inspected current ISC PTC table lists Zighra GenesysInsights, Ottawa, Military/Digital Enablers, TS7, with expiry January 7 2029. SilentEdge is absent from the current HTML table despite earlier ISED/company descriptions of eligibility. Listing is a purchase route for the named innovation, not an order; no reason for the SilentEdge absence is established.
Source type: official company product
Supports: Capability · summary
Historical SensifyID Android instructions include profile/web-service calls, device fingerprinting and gesture-authentication responses, integrator-selected thresholds and background collection. This is a 2018 product/version, not evidence current SilentEdge sends raw sensor data remotely or has the same architecture; current onboarding, offline behaviour and transmitted metadata remain an integration question.
Public sources cited · Facts and assessments kept separate · Human review
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Supports: Capability · maturity
ISED reports more than C$6m in additional federal contracts and follow-on sales across Zighra innovations involving the Navy and Coast Guard. The aggregate has no financial reporting period, excludes no specific costs, and is not SilentEdge-only revenue.
Supports: Capability · defence applications
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · core features
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · maturity
A government account documents operational pilot testing and follow-on procurement, but current deployment scale and configuration-specific acceptance remain undisclosed.
Supports: Capability · core features
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · maturity
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · core features
ISED documents a C$616,710 Royal Canadian Navy SilentEdge operational pilot for smartphone-based access to laptops, doors and applications. The account reports more than C$6 million in subsequent federal contracts and sales across Zighra innovations including SilentEdge and GenesysInsights; the total is not solely SilentEdge revenue.
Supports: Capability · summary
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · maturity
ISED documents a C$616,710 Royal Canadian Navy SilentEdge operational pilot for smartphone-based access to laptops, doors and applications. The account reports more than C$6 million in subsequent federal contracts and sales across Zighra innovations including SilentEdge and GenesysInsights; the total is not solely SilentEdge revenue.
Supports: Capability · core features
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
Supports: Capability · defence applications
ISED describes smartphone accelerometer, gyroscope and touchscreen micro-movement analysis operating on-device without sending sensitive data to external servers. It reports a Royal Canadian Navy pilot testing access to laptops, doors and mobile apps, and C$616,710 Testing Stream support. This is a reported pilot, not a published independent biometric evaluation; retained RCMP wording was incorrect.
