https://www.amazon.science/nova-ai-challenge Amazon Nova AI Challenge en-US Tue, 24 Mar 2026 17:20:48 GMT https://www.amazon.science/nova-ai-challenge/teams/pr1smcode Our team integrates expertise in human-AI interaction and robust LLM agents. We study how latent risks emerge in AI-generated software through realistic user-driven collaborative development, leveraging failure attribution and adaptive inference to uncover and operationalize these risks, driving innovation in trustworthy software agents. Tue, 24 Mar 2026 17:20:48 GMT https://www.amazon.science/nova-ai-challenge/teams/pr1smcode https://www.amazon.science/nova-ai-challenge/teams/lion-0xa Our team is exploring how multi-agent AI systems can improve automated security testing for modern web applications. We aim to combine LLM reasoning and pattern recognition capabilities with structured tool usage within an agentic workflow to emulate realistic security analysis processes. In parallel, we are designing a robust user-simulator that effectively interacts with coding agents of diverse capabilities to produce functional web applications. Tue, 24 Mar 2026 17:11:52 GMT https://www.amazon.science/nova-ai-challenge/teams/lion-0xa https://www.amazon.science/nova-ai-challenge/teams/jayl-break Our goal is to advance functional correctness, reliability, and security in AI-driven software development and testing through two complementary efforts: (i) building coding agents that generate high-quality and reliable software via advanced planning and adaptive guidance, and (ii) developing next-generation red-teaming systems that effectively detect and exploit vulnerabilities in generated software by combining Large Language Model reasoning, security domain knowledge, and program analysis. Tue, 24 Mar 2026 17:05:22 GMT https://www.amazon.science/nova-ai-challenge/teams/jayl-break https://www.amazon.science/nova-ai-challenge/teams/seclab Our team is exploring autonomous red teaming for complex web applications, with a focus on vulnerabilities that emerge across application state, multiple code paths, and iterative interaction. We hope to contribute ideas in state-aware reasoning, repository-level analysis, and runtime feedback-guided validation. Tue, 24 Mar 2026 16:38:43 GMT https://www.amazon.science/nova-ai-challenge/teams/seclab https://www.amazon.science/nova-ai-challenge/teams/slugs-n-roses The Slugs N' Roses team studies the intersection of AI, software engineering, and cybersecurity. In the Nova AI Challenge, we are developing AI agents that learn to write secure code through post-training techniques, enabling them to implement software features while reasoning about security risks introduced during development. Our broader goal is to enable AI-assisted development workflows that are both highly capable and fundamentally secure. Tue, 24 Mar 2026 16:33:00 GMT https://www.amazon.science/nova-ai-challenge/teams/slugs-n-roses https://www.amazon.science/nova-ai-challenge/teams/bruinweb We aim to develop a system that combines a reliable code agent with a user simulator to enable interactive, adaptive problem solving. Our approach emphasizes safe behavior while leveraging simulated user feedback for scalable training and evaluation. By integrating expertise in machine learning, software engineering, and human-computer interaction, we aim to build robust, user-aware code agents that balance performance, safety, and usability. Tue, 24 Mar 2026 16:17:22 GMT https://www.amazon.science/nova-ai-challenge/teams/bruinweb https://www.amazon.science/nova-ai-challenge/teams/bluetwiz We envision advancing trustworthy agentic AI by developing LLM-based code assistants that safely and autonomously extend and maintain complex software systems. Grounding our approach in deliberative planning and alignment, we are researching agents that generate secure, explainable code at the repository level, driving a new generation of plan-grounded, verifiably safe agentic AI. Tue, 24 Mar 2026 16:10:37 GMT https://www.amazon.science/nova-ai-challenge/teams/bluetwiz https://www.amazon.science/nova-ai-challenge/amazon-nova-ai-challenge-returns-with-nova-forge-access-for-competing-teams For the first time in an academic competition, students can customize frontier AI models to build trusted software agents Mon, 02 Feb 2026 19:53:06 GMT https://www.amazon.science/nova-ai-challenge/amazon-nova-ai-challenge-returns-with-nova-forge-access-for-competing-teams https://www.amazon.science/nova-ai-challenge/engaging-the-ai-community-through-building-research-and-shared-learning Advancing AI requires more than breakthrough models. It depends on communities of builders and researchers who experiment, test assumptions, and share what they learn. That belief is guiding how Amazon engages developers and academics around Amazon Nova, Amazon’s portfolio of AI offerings including the Nova models, Nova Forge and Nova Act. Mon, 02 Feb 2026 19:51:40 GMT https://www.amazon.science/nova-ai-challenge/engaging-the-ai-community-through-building-research-and-shared-learning https://www.amazon.science/nova-ai-challenge/amazon-announces-the-2026-amazon-nova-ai-challenge-trusted-software-agents Challenge pushes teams to demonstrate measurable gains in secure-coding performance while building AI agents that advance real-world utility and reliability at scale. Fri, 31 Oct 2025 13:00:00 GMT https://www.amazon.science/nova-ai-challenge/amazon-announces-the-2026-amazon-nova-ai-challenge-trusted-software-agents