Ant Group unveils AI safety models for agents and multimodal systems

Ant Group's AI Safety Lab open-sourced SingGuard-NSFA, a safety guardrail model for autonomous agents, and disclosed details of its multimodal safety model SingGuard. The models detect risks including prompt injection, data theft, and malicious code execution, covering 185 scenarios across 133 languages with nearly 100,000 evaluation samples. Available in sizes from 0.8B to 9B parameters, the model can make risk judgments in about 50 milliseconds.

Ant Group’s AI Safety Lab has open-sourced SingGuard-NSFA, a safety guardrail model for autonomous agents, and disclosed details of SingGuard, a multimodal safety model. SingGuard-NSFA is designed to detect risks such as prompt injection, sensitive data theft, malicious code execution, resource abuse, and permission misuse before agents take action. The model covers seven major risk categories, 28 subcategories, 185 scenarios, and 133 languages, with nearly 100,000 samples in its evaluation system. Ant said the model is available in 0.8B, 2B, 4B, and 9B versions and can make a single risk judgment in about 50 milliseconds. TechWeb https://www.techweb.com.cn/internet/2026-07-13/2977367.shtml , in Chinese