SecureWorld Artificial Intelligence 2026
SecureWorld Artificial Intelligence 2026 is a virtual professional conference covering AI governance as code, agent security, prompt attacks, jailbreaks, shadow AI, NIST AI RMF, and operational resilience.
Past conferences, workshops, and community events retained for their agendas, recordings, and practical context.
SecureWorld Artificial Intelligence 2026 is a virtual professional conference covering AI governance as code, agent security, prompt attacks, jailbreaks, shadow AI, NIST AI RMF, and operational resilience.
Archive entry for AGI Summit SF 2026, held July 18–19 at San Francisco’s Palace of Fine Arts. The two-day program covered AI agents, foundation models, infrastructure, robotics, open source, safety, and alignment, with sessions spanning agentic misalignment, coding agents, continual learning, model evaluation, enterprise security, and AI sovereignty.
ICML 2026 takes place at COEX in Seoul, South Korea, with tutorials, main conference sessions, and workshops covering core machine learning research.
AI Engineer runs the most viewed technical conferences in AI for engineers, with over 10M+ views of our talks online. We are back in SF for the 4th year in a row! This is the one place you can meet with every major frontier lab, leading AI clouds, and AI native/transformed companies — from disruptive AI startups to Fortune 500 AI leaders, and every notable building block in the LLM OS ecosystem.
ACM FAccT 2026 convened interdisciplinary research on responsible, safe, ethical, and trustworthy computing in Montréal. Its program covered AI audits and evaluation practice, red teaming and adversarial testing, assurance and deployment policy, regulation and governance, sociotechnical safety, threat models, transparency, and value alignment.
Data + AI Summit 2026 is Databricks’ global data and AI conference in San Francisco and online, with 800+ sessions across data engineering, analytics, ML, governance, and agent applications.
The AI Summit London 2026 is a commercial AI conference at Tobacco Dock focused on enterprise AI strategy, adoption, and responsible scale.
Gartner Security & Risk Management Summit 2026 brings CISOs and security leaders together in National Harbor, Maryland, with tracks covering AI, cyber risk, application security, data security, operations, privacy, and governance.
U.S. manufacturing expects to gain transformative productivity and resilience improvements through AI integration in product development and production processes.
ACM CAIS 2026 is a research-focused conference on compound AI architectures, optimization, deployment, and agentic AI systems in San Jose, California.
The 47th IEEE Symposium on Security and Privacy and its workshops convened in San Francisco with a dedicated machine-learning security track and research on LLM privacy, alignment, jailbreaks, attacks, and defenses. The co-located Secure Agents for Generative AI workshop concentrated specifically on agent architectures and their security boundaries.
IEEE SaTML 2026 brought secure and trustworthy machine-learning research to the Technical University of Munich. The program addressed attacks and defenses, system and algorithm verification, ML privacy and forensics, interpretability and fairness, trustworthy data curation, and practical evaluation of learning systems.
NDSS 2026 combined systems-security research with dedicated AI-security sessions and the co-located LAST-X workshop on LLM-assisted security and trust exploration. The archived program includes attacks on LLM availability and alignment, watermark robustness, AI-enabled phishing defenses, adversarial ML, and evaluations of LLMs used in security work.