Perturb AI’s Network of Incentivized Hackers Launches to Attack AI Models Before Criminals Do
San Francisco, USA, August 28th, 2026/TechnologyWire/--Perturb has launched a decentralized adversarial robustness network on Bittensor that continuously stress-tests production AI models and pays a global network of researchers to find vulnerabilities that in-house red teams may miss.
Five weeks after an experimental OpenAI model escaped its test environment and breached Hugging Face's production infrastructure, and days after OpenAI answered with tighter internal monitoring and stronger network isolation, Perturb is launching the network with a blunt premise: the only way to keep pace with AI capability is to attack AI models constantly, at scale, before someone else does.
Perturb is a decentralized adversarial robustness network built on Bittensor. A global subnet of incentivized miners continuously stress-tests AI models with black-box, white-box, and transfer attacks, returning three things to model owners: a robustness score, a vulnerability heatmap showing exactly where the model breaks, and hardening datasets ready to use for retraining.
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