Research
Responsible research for autonomous recovery.
Driviny is at the research stage. This page sets out what we are studying, how we work and what comes next. Every stage is planned or in research. None is complete.
How we work
Credible before impressive.
Simulation first
Ideas are tried on synthetic and simulated fleets before anything touches a real robot.
No overclaiming
We say what is planned, what is in research and what is done. Today nothing on the roadmap is done.
Safety systems stay in charge
Our research does not replace emergency stops, manufacturer safety controllers or regulation.
Careful publication
We describe the problem and the architecture in public. Methods are shared when they are ready to be reviewed.
Research roadmap
Building toward trustworthy autonomous recovery.
01
ResearchDependency Lab
Model robot-to-service and data-to-decision dependencies.
02
ResearchIncident Simulation
Generate synthetic shared-compromise scenarios.
03
PlannedRecovery Verification Research
Test selective revalidation methods.
04
PlannedControlled Robotics Pilot
Explore integration with a willing robotics engineering partner in a controlled environment.
05
PlannedExtended Fleet Integration
Potential future investigation for larger autonomous fleets.
CSTP · Cyber-Safety Transition Protocol
A cyber response must respect the physical world.
When a robot encounters a suspected cybersecurity incident, abruptly removing communications or disabling software may affect functions required for safe operation.
CSTP explores ways to coordinate security containment with independently verified physical fallback capabilities.
Security and trust
Security signals are not proof of physical safety.
- 01
Independent evidence
A compromised component should not be the sole source verifying its own recovery.
- 02
Explicit uncertainty
Missing or contradictory evidence should remain unresolved rather than being silently classified as trustworthy.
- 03
Safety boundaries
Independent, validated safety systems remain authoritative for physical vehicle control.
Built for robotics engineers
A security layer for the teams building autonomy.
Driviny is exploring how robotics developers and security teams can investigate compromise propagation and make recovery decisions with better technical evidence.
Discuss a Research PilotPotential integration surfaces
- ROS 2 research environmentsExploring
- Robotics simulation platformsExploring
- Robot fleet management APIsExploring
- Security monitoring pipelinesExploring
- Software and model update systemsExploring
- Robot state and provenance recordsExploring
None of these are built. They are places we expect a research integration could connect.
Autonomous world 2050 · Concept illustration
When machines run the world, recovery becomes infrastructure.
The next generation of physical AI will depend on interconnected models, sensors, machines and services.
As those systems become more autonomous, security will need to address not only intrusion prevention, but how trust is established again following a compromised dependency.
Driviny is exploring the infrastructure required for that future.
Research pilot and partnerships
Help shape the next layer of autonomous security.
We are looking for robotics teams, security researchers and others who want to work on recovery after compromise. Tell us a little about your work.
- We only use your details to reply to this enquiry.
- We do not sell or share your details.
- Please do not send confidential incident details here.
Prefer email? [email protected]