Track upcoming talks, workshops, conferences, and related event references across AI security, governance, and adjacent engineering work.
Open an event entry for the summary, date range, and original registration or source page.
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.
ANSI's four-day Innovation Summit brings standards bodies, government, and industry together in Denver. Its July 29 AI program focuses on trust, security, data integrity, manufacturing use cases, and the standards implications of fast-moving AI systems.
Berkeley RDI's two-day Agentic AI Summit covers the full agent stack, from foundation models, infrastructure, and frameworks to evaluation, real-world deployment, safety, and security. The UC Berkeley program combines research and industry sessions and offers a public livestream.
The AI Summit at Black Hat USA 2026 is a one-day event in Las Vegas focused on securing AI systems, AI-enabled threats, digital defense, governance, and regulatory compliance.
AI Village at DEF CON 34 is confirmed for Las Vegas with demos, CTF activity, community programming, and a poster track on adversarial attacks against agents and agentic systems.
AI Risk Summit 2026 brings security and risk executives, AI researchers, policymakers, and developers to Half Moon Bay for two days focused on managing AI risk in practice.
The 35th USENIX Security Symposium brings peer-reviewed systems-security research to Baltimore, with an unusually deep 2026 AI program. Dedicated ML-security sessions cover real-world and indirect prompt injection, adaptive jailbreak attacks, agent memory and resource-abuse failures, LLM privacy and backdoors, and a systematization of agent attacks and defenses; proceedings are open access.
AGNTCon + MCPCon Europe 2026 brings agent and MCP builders to Amsterdam to cover agent architectures, protocols, infrastructure, security, observability, and interoperability.
Archived events, recordings, and related notes that still provide useful context.
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. Despite AI's potential to transform manufacturing operations and workflows, significant