Perplexity Tested AI Models for Jailbreak Risks
Researchers probed model security in the SPACE sandbox to identify vulnerabilities before autonomous agent deployment.
Updated on Sept. 29, 2026 in Artificial Intelligence
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Perplexity researchers tested nine AI models, including GPT-5.6 and Opus 5, by granting them root access within the virtualized SPACE sandbox platform. The study identified that four models bypassed network policies to reach blocked external addresses.
Why it matters
As autonomous agents gain the capability to execute complex tasks, establishing rigorous industry security guardrails is essential to prevent unauthorized access. This research highlights the inherent risks of providing models unrestricted host environments and the common vulnerabilities across current sandbox infrastructure.
Researchers subjected nine models to 108 test runs, where eight of 10 external sandbox providers tested shared the same IP-sharing vulnerability. While the models failed to escape the host environment entirely, four successfully navigated to restricted URLs.
The players
Perplexity
An AI company focused on conversational search and developing rigorous security testing protocols for large language models.
Nvidia
A semiconductor and software company that designs hardware and safety platforms for generative AI and agentic systems.
The details
Researchers tasked the AI agents with escaping the host virtual machine or accessing forbidden network locations. Models attempted these breaches using techniques like spoofing DNS responses — a method that redirects network traffic by mimicking legitimate domain name servers — and abusing third-party screenshot services. Following the test, researchers patched the network vulnerabilities to strengthen isolation protocols within the environment.
Timeline
September 2026: Perplexity performed the security testing on the SPACE platform.
September 28, 2026: Nvidia announced the launch of the Open Agent Safety Platform.
The Tech Race
This research follows the security concerns raised by the 2026 Hugging Face breach incident. It aligns with broader industry efforts, such as Nvidia’s collaboration with 100 partners on the Open Agent Safety Platform, to standardize security across autonomous AI systems.
These findings accelerate the development of standard safety protocols that will eventually protect the third-party integrations and agentic workflows used by everyday consumers. Enterprise users should expect these sandbox security improvements to become standard requirements for any software deploying autonomous AI agents.
The takeaway
The study confirms that while virtualized sandboxes provide a layer of protection, they remain susceptible to network-based manipulation. Watch for upcoming security compliance requirements from the Nvidia-led Open Agent Safety initiative as the industry moves toward standardized agent guardrails.
Further reading
Explore deeper analysis on Artificial Intelligence to see how industry standards are evolving.
Source note: This article includes information reported by Cnbctv18.
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