Organizations aren’t structured for the gap between physical security and cybersecurity. That’s where we slot in.
When a battery storage system, robot, drone or autonomous vehicle is hacked, misused or simply fails, it isn’t clear whose problem it is. We help you decide before an incident decides for you.
The gap
Cybersecurity teams protect networks and data. Physical security teams protect people and buildings. Physical AI is both: software in control of physical equipment, from the battery racks powering a data center to the robots and vehicles moving through public space. A battery fault nobody catches in time can become a fire that takes a data center offline; a hijacked delivery fleet can block an emergency route. In most organizations, no one owns that risk from end to end.
Services
Physical AI exposure assessment
An inventory of the autonomous machines you run or are exposed to, the threats to each, and a ranked list of fixes.
Tabletop exercise
A facilitated scenario, such as a hijacked delivery fleet or a battery fire at a data center, with your security, operations, legal and communications leads.
Response plan and ownership model
Who decides, who acts and who communicates when a machine goes wrong, written into your existing incident plans.
Executive briefing and strategy
Use-case and vendor mapping for boards and leadership teams adopting Physical AI.
Who we work with
Fleet operators and logistics companies, AI data centers and utilities, insurers and underwriters, manufacturers, and public-safety and defense agencies.
Why Terbine AI
- We are building STRATA (System for Tracking, Routing, and Autonomous Task Administration), a supervision platform for Physical AI, so our advice comes from engineering, not only from frameworks.
- Our advisors include a former NSA deputy director and a former FERC branch chief.
- We publish The Physical AI Report every week and wrote Weaponized Physical AI, a threat assessment framework covered by National Defense.