Cyber-Physical Trust for Autonomous Systems
Real-Time Trust for Autonomous Systems
Sybrotix helps operators verify whether UAVs and autonomous platforms can be trusted during live operations—including GPS spoofing detection, communication interference and identity checks, physics-based validation, multi-signal correlation, and explainable trust scoring with optional LLM-assisted diagnostics.
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The Trust Gap in Autonomous Operations
Autonomous systems rely on telemetry, GNSS, navigation signals, communication links, and onboard decision-making. When these inputs are manipulated—including GPS spoofing—or become inconsistent with physical reality, the system may continue operating on false assumptions. Existing solutions often focus on external monitoring, operations dashboards, or post-event analysis, but do not verify whether the system itself remains trustworthy in real time.
A Cyber-Physical Trust Layer
Sybrotix continuously validates system behaviour, signal integrity, timing patterns, and identity-related information against expected operating conditions and physical constraints—including early mechanical anomaly indicators. The platform is designed to detect trust failures before they become mission failures, with edge-first deployment and optional cloud reporting when your policy allows.
- GPS spoofing detection
- Communication interference detection
- Identity verification and anti-impersonation
- Telemetry consistency and physics-based behaviour validation
- Multi-signal correlation, anomalies, and trust scoring
- Attack vs mechanical failure differentiation
- Explainable diagnostics and real-time alerting
- LLM-assisted explanations, diagnostic chat, and structured reporting
What Makes Sybrotix Different
Clear separation from perimeter monitoring and after-the-fact analytics.
Internal Trust Verification
Sybrotix focuses on whether the autonomous system itself can be trusted, not only what is happening around it.
Real-Time Validation
The system works during live operation rather than relying only on post-event analytics.
Cyber-Physical Reasoning
Detection combines system signals, behavioural patterns, and physical consistency checks.
Built for Autonomy
The platform starts with UAVs and is designed to scale to broader autonomous systems through modular models.
Core platform capabilities
Operational building blocks for trust assessment during missions and deployments—from RF and GNSS to compliance-ready outputs.
GNSS and RF trust
GPS spoofing detection, communication interference monitoring, and consistent validation of navigation and link behaviour during the mission.
Identity and telemetry integrity
Identity verification with anti-impersonation checks and telemetry consistency analysis across streams and time.
Physics and correlation
Physics-based behaviour validation and a multi-signal correlation engine to surface anomalies that single sensors can miss.
Threats vs mechanical faults
Differentiate likely cyber events from mechanical failures, with early mechanical anomaly detection for safer interventions.
Intelligent operator support
LLM-powered anomaly explanation, a diagnostic chat interface, root-cause summaries, and operator guidance grounded in system context.
Reporting and deployment
Structured and audit-ready incident reporting; edge-first standalone operation with optional cloud fleet analytics and fleet-wide views.
UAV airframes and open autopilots
Sybrotix is built for real-world unmanned fleets: fixed-wing, multirotor, VTOL, and single-rotor systems. The trust layer is designed to work with leading open-source autopilot stacks—supporting PX4 and ArduPilot—so validation can align with the telemetry, navigation, and mission patterns your operators already use.
Autopilot
PX4
Autopilot
ArduPilot
Integration points depend on your deployment; we work with common MAVLink-class flows and operator tooling alongside these stacks.
Full platform capability set
From GPS spoofing and RF interference to LLM-assisted diagnostics and audit-ready reporting—one modular trust layer for high-stakes autonomy.
Detection and verification
- Real-time cyber-physical trust verification
- GPS spoofing detection
- Communication interference detection
- Identity verification and anti-impersonation
- Telemetry consistency checking
- Physics-based behaviour validation
- Multi-signal correlation engine
- Anomaly detection
- Attack vs mechanical failure differentiation
- Early mechanical anomaly detection
Trust outputs and alerting
- Trust scoring
- Real-time alerting
- Explainable diagnostics
Intelligent assistance
- LLM-powered anomaly explanation
- Intelligent diagnostic chat interface
- Root-cause summary generation
- Operator guidance generation
Reporting and compliance
- Structured incident reporting
- Audit and compliance-ready reporting
Deployment and architecture
- Edge-first standalone deployment
- Optional cloud-based reporting and fleet analytics
- Modular architecture for UAVs first, with future extension to other autonomous systems
Designed for High-Risk Autonomous Environments
UAVs and aerial systems today; modular trust models for robotics and wider autonomy as you scale.
UAV Operations
Detect GPS spoofing, communication interference, identity inconsistencies, and pre-failure anomalies during drone missions—including fleets on PX4 and ArduPilot-class autopilots.
Robotics
Extend trust validation to robotic platforms through platform-specific physical and behavioural models.
Autonomous Platforms
Support broader autonomous systems—ground, aerial, and maritime—where trusted behaviour and explainable outputs matter.
Operational context
Representative environments — swap for proprietary imagery when cleared.
UAV Operations
Robotics
Autonomous Platforms
How It Works
A linear pipeline from live inputs to operator-ready trust signals.
- 01
Ingest Operational Data
Read telemetry, signals, timing, and identity-related inputs from existing systems.
- 02
Validate Against Trusted Models
Check consistency using learned patterns, multi-signal correlation, and physics-based constraints.
- 03
Generate Trust Outputs
Produce alerts, trust scores, explainable diagnostics, and structured reports.
Built for Credibility
Engineering choices aligned with operational security and deployment reality.
- Real-time trust verification with GPS spoofing and RF-aware checks
- Designed as an edge-first standalone platform
- Works alongside existing operational systems and open autopilots (e.g. PX4, ArduPilot)
- Optional cloud-enabled reporting, fleet analytics, and audit-ready outputs
Trust and deployment
- Standalone edge-first deployment
- Designed for existing operational software
- Built for trust verification, not only monitoring
- Structured outputs for operators and stakeholders
Frequently asked questions
Straight answers for technical and business evaluators.
What does Sybrotix do?
Sybrotix provides a real-time cyber-physical trust layer that checks whether autonomous systems remain trustworthy during operation—by validating signals, timing, behaviour, and consistency with physical reality.
Does Sybrotix support PX4 and ArduPilot?
Yes. The platform is designed to align with widely used open-source autopilots including PX4 and ArduPilot, so trust validation can map to familiar telemetry, navigation, and mission patterns. Integration details depend on your deployment and data paths.
Does Sybrotix replace existing ground control software?
No. It is designed to work alongside existing ground control and operational tools as a dedicated trust layer, not as a replacement for your primary flight or mission software.
Is Sybrotix cloud-based?
The platform is designed for edge-first deployment. Optional cloud connectivity can support reporting and analytics where your security and operational model allow it.
Can the system work without internet connectivity?
Yes. The architecture targets standalone, edge-capable operation so trust validation can continue when connectivity is limited or unavailable.
What types of threats can it help detect?
Sybrotix focuses on cyber-physical inconsistencies including GPS spoofing, communication interference, identity or impersonation risks, telemetry manipulation, timing issues, and behaviour that diverges from expected physical and operational constraints—alongside differentiation from many mechanical or system faults.
Is the platform only for UAVs?
The initial focus is on UAVs and aerial systems. The same trust framework is designed to extend to robotics and other autonomous platforms through modular, platform-specific models.
Request a Technical Demo
See how Sybrotix detects cyber-physical inconsistencies and trust failures in autonomous operations.