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SingGuard-NSFA is an open-source guardrail framework aimed at operational threats in agent workflows. Four models ship at 0.8B, 2B, 4B, and 9B parameters, all built on Qwen3.5 base backbones. Risk taxonomy The NSFA risk taxonomy organizes threats along the CIA triad of confidentiality, integrity, and availability. It defines 185 risk variants grouped under a smaller set of top-level domains and mid-level categories, cross-validated against three OWASP guidelines. Five top-level domains cover query-side threats: prompt injection … More →

The post SingGuard-NSFA: Open-source guardrails for agentic AI appeared first on Help Net Security.

For most of the past decade, the managed detection and response (MDR) decision was a simple one: teams that couldn’t staff a 24/7 SOC outsourced detection and response to a provider who could. It solved a resources problem, and the alternatives (hiring a team you couldn’t afford or keeping a functional set of SOAR playbooks across an expanding alert surface) were worse. But a growing number of security leaders are looking at their next MDR … More →

The post The MDR renewal question: What changes when AI can handle the alerts appeared first on Help Net Security.

Robots that read the world through cameras now lean on large vision-language models to interpret what they see and decide what to do next. These models handle images and text together, so any words that fall inside the camera frame become part of the input. A stop sign, a street name, a sticker on a wall. The overthinking behavior at the center of the attack Researchers at Michigan Technological University have shown that this reading … More →

The post An AI overthinking attack can tie a robot up for over a minute appeared first on Help Net Security.

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