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ai security
SingGuard-NSFA: Open-source guardrails for agentic AI
SingGuard-NSFA is an open-source guardrail framework designed to detect operational threats in agent-based AI workflows. The framework includes four models ranging from 0.8B to 9B parameters and organizes risks using a taxonomy of 185 threat variants mapped to the CIA triad (confidentiality, integrity, availability) and validated against OWASP guidelines.
Why it matters: Security teams deploying agentic AI systems need practical detection mechanisms for prompt injection and other query-side threats; this framework provides an extensible starting point to identify risks before they escalate in production agent workflows.
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- First seen by Cybersecurity Tracker
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Correction
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ai security
SingGuard-NSFA: Open-source guardrails for agentic AI
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
SingGuard-NSFA: Open-source guardrails for agentic AI
SingGuard-NSFA is an open-source guardrail framework designed to mitigate operational threats in agent workflows, offering four models ranging from 0.8 billion to 9 billion parameters built on Qwen3.5 base models. The framework organizes security risks along confidentiality, integrity, and availability dimensions, defining 185 risk variants mapped to top-level domains and mid-level categories validated against OWASP guidelines.
Why it matters: Development teams deploying agentic artificial intelligence (AI) systems need guardrails to prevent prompt injection and other query-side threats that could compromise confidentiality, integrity, or availability of agent operations.
- Source published
- First seen by Cybersecurity Tracker