Research

NR Labs has identified a critical policy bypass vulnerability within the NVIDIA Nemotron v3 Nano model that allows for the direct generation of sophisticated, evasive malware.

As software and artificial intelligence (AI) systems become foundational to national infrastructure, the security of their supply chains has emerged as a critical concern.

Traditional RMF is too slow for today's threats. NR Labs' modular, AI-driven approach enables continuous cyber resilience through automation, real-time monitoring, and seamless integration—proven in federal deployments.

While tools are critical, over-reliance on them without addressing underlying issues is like putting a bandage on a broken bone. In this post, we’ll share insights from our collective experience implementing robust security strategies for cloud and AI systems, emphasizing the need to fix root causes over leaning solely on tools.

This is Part 1 of a 3-part series on uncovering hidden risks in open-source software with dynamic SCA (dSCA). Stay tuned for our open-source tool release! Introduction: The Hidden Risks in Open-Source Software

As agencies navigate the growing complexity of cybersecurity threats and compliance demands, Artificial Intelligence offers a powerful lever to modernize and scale defenses. Our Cyber Innovation practice has developed a robust framework of AI use cases aligned to federal cybersecurity missions.