This attack path highlights important considerations for the future of agent-assisted development. Extended supply chain risk: Traditional supply chain attacks focus on injecting malicious code directly. In agentic environments, a compromised dependency can also redirect the agent itself, extending familiar supply chain risks into a new dimension, such as injecting subtle delays that cause performance degradation or denial-of-service scenarios. Instruction following under adversarial conditions: When the agent followed injected configuration directives, including instructions to conceal its
Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical BlogAGENTS.md files help Codex and similar AI tools understand project-specific instructions, coding conventions, and organizational structures. They can reside anywhere within a Codex container, providing valuable context to AI agents. Like other project configuration files, these instructions are treated as trusted context by the agent. This trust model is by design, but it creates an interesting attack surface when a malicious dependency is able to write or modify these files at build time.
Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical BlogAgentic AI / Generative AI Building NVIDIA Nemotron 3 Agents for Reasoning, Multimodal RAG, Voice, and Safety Mar 24, 2026 By Chintan Patel , Maryam Motamedi , Chris Alexiuk , Moon Chung and Isabel Hulseman Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike At GTC 2026, NVIDIA introduc… …
… Nemotron 3 Nano 30B A3B Nemotron 3 Nano offers 4x faster throughput compared to Nemotron 2 Nano Leading accuracy for coding, reasoning, math and long context tasks Perfect for agents that need to deliver highest accuracy and efficiency for targeted tasks Nemotron 3 Nano Omni 30B A3B Single model fo… …
Agentic AI / Generative AI How to Build a Voice Agent with RAG and Safety Guardrails Jan 05, 2026 By Chris Alexiuk and Isabel Hulseman Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike The tutorial explains how to build a voice-powered retrieval-augmented generation RAG agent with saf… …
… Evaluating incident summary accuracy and safety Initial evaluation focuses on incident summary accuracy: how well the model, embedded in a ReAct‑style agent with tools, predicts and executes the correct resolution path for a given incident. …
… What are the implications and risks for agent-assisted development? This attack path highlights important considerations for the future of agent-assisted development. Extended supply chain risk: Traditional supply chain attacks focus on injecting malicious code directly. …
… NVIDIA NemoClaw uses open source models—like NVIDIA Nemotron —alongside the NVIDIA OpenShell runtime , which is part of the NVIDIA Agent Toolkit. By combining powerful open source models with built-in safety measures, NemoClaw simplifies and secures AI agent deployment. …
… 11 MIN READ Jan 05, 2026 How to Build a Voice Agent with RAG and Safety Guardrails Building an agent is more than just “call an API”—it requires stitching together retrieval, speech, safety, and reasoning components so they behave like... …
… 11 MIN READ Jan 05, 2026 How to Build a Voice Agent with RAG and Safety Guardrails Building an agent is more than just “call an API”—it requires stitching together retrieval, speech, safety, and reasoning components so they behave like... …
