Radeis Extension for NVIDIA Isaac Sim is designed for pre-deployment robot cyber-safety testing. Source: VicOne
As concerns about cybersecurity increase, robotics developers are getting tools to test it in simulation. VicOne Inc. yesterday released the free VicOne Radeis Extension for NVIDIA Isaac Sim, which it said enables developers to test how selected attack scenarios could affect the behavior of their own robot models.
“Robotics companies are moving from proving individual use cases to deploying robots at scale in real-world environments. As that shift accelerates, the industry must validate not only whether robots function as designed, but [also] whether they remain reliable when the digital systems they depend on are compromised,” stated Max Cheng, CEO of VicOne.
“Cyber-safety validation must become a standard part of robotics development,” he added. “By turning DEF CON research into repeatable simulation scenarios, we are helping developers address these risks earlier and build more resilient physical AI at scale.”
Founded in 2022, VicOne has built itscybersecurityfor physical AI on its automotive expertise. The Trend Micro subsidiary said its software and services can protect the digital systems that shape how vehicles and robots see, decide, and act.
Tokyo-based VicOne helps OEMs, Tier 1 suppliers, robot makers, and operators identify cyber risks early, assess their potentialsafetyimpact, and protect systems in operation. Thecompanysaid it has uncovered more than 180 zero-days acrossautomotiveand robotics, added over 100 million threat intelligence signals monthly, and filed 30 U.S. patent applications for AI-defined vehicle and physicalAIsecurity.
Robot makers invest heavily in functional testing, safety engineering, and simulation, but cyber-induced conditions can still fall outside conventional test plans, noted VicOne. AtDEF CON34’s Robotic Hacking Community, the company conducted itsPhysical AI Safety Stress TestCTF (capture the flag) exercise.
Security researchers tested how digital compromises could alter robot behavior under controlled conditions. The challenge examined attack paths across AI models, perception, cloud and API services, robotics communications, and embedded systems.
The DEF CON activities included the Reachy Mini and LeKiwi robotics platforms. They provided researchers with hands-on systems for exploring how cybersecurity vulnerabilities couldaffect physical robot behavior.
VicOne studied unsuccessful attempts and newly observed attack assumptions to refine scenarios involving manipulated visual inputs, hijacked commands, poisoned AI policies, and exploited connected interfaces. By testing these conditions at the system level, teams can determine whether vulnerabilities in individual components could ultimately alter the behavior of the complete robot, it said.
At DEF CON 34, 16 teams recorded 25 successful solves, noted VicOne. Nearly every core AI and robotics cyber-safety challenge was solved at least once, with only one advanced embedded systems challenge involving cryptography and firmware vulnerabilities remaining unsolved.
The company said results showed that behavior-changing risks can emerge across multiple layers of the robot stack, reinforcing the need to evaluate cybersecurity at the system level rather than assessing vulnerabilities only in isolation.