Daniel Teixeira

Daniel Teixeira is a senior offensive security researcher and Red Team operator at NVIDIA, bringing over a decade of experience in penetration testing, vulnerability research, and red teaming. His research interests include adversary simulation, adversarial machine learning, agentic AI systems, MLOps, and LLMOps.
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Posts by Daniel Teixeira

Agentic AI / Generative AI Apr 20, 2026

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments

AI tools are significantly accelerating software development and changing how developers work with code. These tools serve as real-time copilots, automating... 12 MIN READ
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Trustworthy AI / Cybersecurity Oct 02, 2025

Practical LLM Security Advice from the NVIDIA AI Red Team

Over the last several years, the NVIDIA AI Red Team (AIRT) has evaluated numerous and diverse AI-enabled systems for potential vulnerabilities and security... 8 MIN READ
Trustworthy AI / Cybersecurity Aug 07, 2025

How Hackers Exploit AI's Problem-Solving Instincts

As multimodal AI models advance from perception to reasoning, and even start acting autonomously, new attack surfaces emerge. These threats don’t just target... 10 MIN READ
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Trustworthy AI / Cybersecurity Jul 31, 2025

Securing Agentic AI: How Semantic Prompt Injections Bypass AI Guardrails

Prompt injection, where adversaries manipulate inputs to make large language models behave in unintended ways, has long posed a threat to AI systems since the... 8 MIN READ