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paperJuly 2026Unreviewed

SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification

SingGuard Team

Abstract

We present nsfaguard, a guardrail framework for securing agentic AI systems against operational threats, such as prompt injection, sensitive information extraction, malicious code requests, dangerous tool misuse, and resource exhaustion. We first introduce the NSFA taxonomy, which organizes 185 risk variants into a CIA-triad-grounded hierarchy and is cross-validated against three well-established OWASP guidelines. Based on this taxonomy, we construct a benchmark suite spanning 133 languages, com

Categories

Framework mappings

OWASP Top 10 for LLM Applications
  • LLM01Prompt Injection
  • LLM02Sensitive Information Disclosure
MITRE ATLAS
  • AML.T0024.000Infer Training Data Membership
  • AML.T0051LLM Prompt Injection

Suggested from the entry's categories.

Cite

@misc{llmsec202600661,
  title = {{SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification}},
  author = {{SingGuard Team}},
  year = {2026},
  month = jul,
  eprint = {2607.13081},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.13081}
}