Physical AI security

From camera intelligence to human-approved physical response.

Tensor Dynamics Watch already turns existing cameras into AI investigators. We are extending the same incident, evidence, and human-decision workflow to drones and ground robots.

Available: Camera AIWorking prototype: Multi-robot response

One governed incident chain

Perceive, investigate, approve, respond.

Physical AI is not a vague label here. At Tensor Dynamics, it is a security workflow with explicit authority, evidence, and product-maturity boundaries.

01

Available today

Existing cameras

RTSP and ONVIF cameras provide persistent site awareness without requiring a full infrastructure replacement.

02

Available today

AI incident investigation

AI follows plain-language missions, investigates context, preserves evidence, and creates a traceable incident record.

03

Working prototype

Human approval

The system proposes a next step and mission plan. An operator reviews evidence, safety limits, and routes before execution.

04

Prototype / next

Physical responders

Drones and ground robots accept governed missions in simulation; real-hardware integration and pilots are still in progress.

Tensor Dynamics multi-robot simulated mission-control prototype
Product prototype shown. Mission planning, deployment approval, live state, and safety controls are running with simulated vehicles.

What the prototype does

Prove the complete workflow in simulation first.

  • Receive Watch incidents with source and evidence context
  • Plan missions across multiple drones and quadrupeds
  • Require explicit operator approval before deployment
  • Provide safety controls such as HOLD, resume, and return-to-launch
  • Retain mission, command, state, and outcome records

Status: This is not a commercially deployed autonomous robotic-response system. Real-hardware integration and field pilots remain the next stage.

Safety and authority

AI plans. People approve. Vehicle safety systems control.

Human decision gate

High-risk physical actions require explicit operator approval.

Safety commands remain available

Stop, hold, return, and manual-takeover controls do not depend on a new AI mission.

External control authority

The desktop is not the flight authority; control stays with an edge controller or autopilot.

Auditable path

Incident, evidence, plan, approval, command, and outcome remain in one traceable record.

Product maturity

Start with the camera product you can deploy.

Available today

Watch camera AI

Compatible existing cameras, incident investigation, evidence history, alerts, and human final decisions.

Working prototype

Multi-robot mission system

Simulated vehicles, Watch-event handoff, mission planning, safety controls, and human approval.

Next

Physical-site pilots

Real-hardware integration, autonomous patrol, air-ground coordination, and multi-agent security operations.

FAQ

Physical AI security questions

What is physical AI security?

It connects perception from cameras and sensors with AI investigation, governed planning, human approval, and physical systems such as drones or ground robots.

Can drone and ground-robot response be deployed today?

Not yet as a commercially deployed hardware response system. Watch-event handoff, mission planning, safety controls, and human approval run in a working multi-robot simulator; real-hardware integration is underway.

Can I use Watch without robots?

Yes. Tensor Dynamics Watch works today as an AI monitoring and incident-investigation layer for compatible RTSP and ONVIF cameras.

Does the AI make the final high-risk decision?

No. High-risk physical actions require explicit operator approval, while vehicle safety and control authority remain with an external edge controller or autopilot.