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Gecko Robotics works with NVIDIA to add AI agent security and control

By Eugene Demaitre | September 28, 2026

Gecko Robotics is using NVIDIA's new agentic AI security layer in its inspection robots.

Gecko is using NVIDIA’s new agentic AI security layer in its inspection robots. Source: Gecko Robotics

NVIDIA Corp. today announced its Open Agent Safety Platform, which consists of the OpenShell open-source software and Sentry reference system design. They are intended to strengthen governance and control across hardware, compute, and software for robots that run AI agents. Among the more than 100 organizations working with NVIDIA’s technology is Gecko Robotics Inc.

After recent incidents including AI agents from OpenAI going around application-level controls to attack Hugging Face, AI and robotics developers have been working on traceability, accountability, and preventative measures.

“As we continue to discover the frontier of AI capabilities, we must accelerate discovery at the frontier of AI safety,” stated Jensen Huang, CEO of NVIDIA. “Safety and security require full-stack engineering. NVIDIA Open Agent Safety Platform brings together industry, researchers, and public-sector organizations to share best practices, align on resolution methods, and foster international cooperation.”

Editor’s note: Physical AI is among the session topic tracks at RoboBusiness 2026, which will be on Oct. 20 and 21 in Santa Clara, Calif. Register now to attend.


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NVIDIA OpenShell and Sentry enforce policy

OpenShell provides a secure runtime boundary that traces all actions and enforces policy as AI agents run on NVIDIA Vera CPUs. It provides deterministic governance for agent execution, access, and where inference goes, according to NVIDIA.

As open-source software, OpenShell can be extended to work with third-party compute platforms, including those from Arm and Intel, added the Santa Clara, Calif.-based company.

NVIDIA Sentry adds an out-of-band watchdog that runs on BlueField-4 data-processing units (DPUs) to continuously monitor agent behavior. It monitors outcomes against policies, the company said. Sentry can quarantine agents that attempt to move outside their boundaries in milliseconds.

“For the agent economy to grow, we need a trusted foundation across silicon and software,” said Justin Boitano, vice president of enterprise AI at NVIDIA, during a press briefing. “We want to engage everybody to advance a new layer of agent security.”

“The independent trust domain is like how self-driving cars work,” he explained. “The primary system runs perception, and a safety island ensures that the overall system fails safely. The same principles apply to frontier AI systems.”

OpenShell can offload security onto silicon or DPUs as needed, and Sentry watches reasoning traces. A Policy Proover in NVIDIA Open Agent Safety Platform is deterministic and runs at a higher speed.

“If you write a policy that says an agent can’t read code from Github, an agent could spawn separate subagents to read it and then post that information, with fleets superseding global policies,” said Boitano. “The Policy Proover validates the master decision tree, looking at combined file and network access to find unintended exfiltration. It comes out of AWS’s S3 research to create verifiable policies.”

“We see long-term agent behavior to be a different problem than sandboxing,” he added. “OpenShell is projecting the intent of a policy into infrastructure.”

NVIDIA chart describing the components of its Open Agent Safety Platform.

The NVIDIA Open Agent Safety Platform includes OpenShell and Sentry. Source: NVIDIA

Gecko gives AI agent control over robot motion

While recent security incidents have occurred entirely within software, Gecko Robotics said they revealed a potential problem with all AI agents, including robots. The company has used NVIDIA OpenShell to explore how enforceable boundaries can keep AI-powered robots operating within human-defined permissions. Gecko said its goal is to establish the safeguards needed to deploy greater autonomy responsibly.

“As Jensen says, safety is an engineering problem, not a legal one,” said Jake Loosararian, co-founder and CEO of Gecko Robotics. “The idea that losing control of AI is inevitable is a dangerous excuse for inaction. We have a responsibility to build safeguards that keep AI within the boundaries humans set.”

“What NVIDIA has built with their Open Agent Safety Platform, and Gecko is testing for robots, is confronting the risk before it reaches the physical world and helping ensure greater autonomy does not come at the expense of human control,” he added.

Gecko uses robots that can climb, crawl, fly and swim on critical infrastructure, including for Fortune 100 energy companies, as well as the U.S. Air Force and U.S. Navy. Its systems inspect everything from fuel tanks to nuclear submarines and aircraft carriers.

Ariel Weingarten, director of engineering at Gecko, told The Robot Report that its agents have access to the same system commands as its field operators, including:

  • Starting and stopping data collection
  • Robot motion controls and path planning
  • Raising and lowering payloads

They do not handle the data lifecycle, or uploading to Gecko’s governance cloud, he said.

While research continues on AI agent security, Pittsburgh-based Gecko is using NVIDIA OpenShell for secure runtime boundaries that developers can use to define what actions systems can take and what is not permitted.

Komodo robot includes enforcement layer

Gecko’s Komodo, a robot that has been deployed with the U.S. Navy, places an independent enforcement layer between the AI agent and the hardware. “The developer decides what Komodo should do; OpenShell ensures it stays within the rules,” said the company.

“Physical AI and robotics represent the next frontier of technology,” asserted Gecko Robotics. “Moving intelligence from software into machines also brings greater responsibility. Model-level safety alone is not enough.”

Because Gecko already follows well-defined security controls for U.S. military assets, implementing them in OpenShell was less of a challenge, said Weingarten.

“By building enforceable controls across the full technology stack, NVIDIA and Gecko are helping ensure the safeguards governing physical AI advance as quickly as the technology itself,” the company added.

Gecko’s Cantilever AI-powered platform transforms the massive datasets collected by its robots into actionable insights. The company claimed that its systems enable data-driven, evidence-based decisions on structures, delivering a return on investment (ROI) for customers.

Since OpenShell is within the boundary of a Komodo field system, it does not directly interact with Cantilever, noted Weingarten. Gecko intends to use NVIDIA’s security layer for both defense and military systems in the future, he said. The deterministic control could also help at the swarm level.

“It is certainly helpful to have invariants at the individual unit level that can be used to reason about swarm/fleet dynamics,” Weingarten said. “We’re excited to evolve as we move from individual system control to agentic-assisted operation of an entire deployment.”

About The Author

Eugene Demaitre

Eugene Demaitre is editorial director of the robotics group at Arrowfly (previously WTWH Media). He was senior editor of The Robot Report from 2019 to 2020 and editorial director of Robotics 24/7 from 2020 to 2023. Prior to working at Arrowfly, Demaitre was an editor at BNA (now part of Bloomberg), Computerworld, TechTarget, and Robotics Business Review.

Demaitre has participated in robotics webcasts, podcasts, and conferences worldwide. He has a master's from the George Washington University and lives in the Boston area.

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