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SUMMARY:Applied Machine Learning for Cyber Security (AMLUCS) Conference 2026
DESCRIPTION:Queen Elizabeth Olympic Park\, London\n\n\n\nApplied Machine Learning for Cyber Security (AMLUCS) Conference 2026\n\n\n\nKent & Medway Cyber Cluster is pleased to support the Applied Machine Learning for Cyber Security (AMLUCS) Conference 2026\, a government backed\, not for profit event focused on the practical application of Artificial Intelligence and Cyber Security. \n\n\n\nAMLUCS is a practitioner led conference that brings together security engineers\, data scientists\, researchers\, policymakers\, and industry professionals working on real world AI enabled cyber security challenges. The emphasis is on applied research\, operational experience and solutions that work in practice. \n\n\n\nThe conference supports collaboration between industry\, academia and government\, with a strong focus on strengthening the connection between research and deployment. \n\n\n\nCore themes include\n\n\n\n\nAI security threats\, vulnerabilities and mitigations\n\n\n\nOffensive and defensive AI and cyber operations\n\n\n\nMulti agent systems and secure architectures\n\n\n\nAI governance\, risk and standards\n\n\n\nExplainability\, interpretability and fairness in security contexts\n\n\n\n\nThe programme includes technical talks\, keynote sessions\, practitioner panels and structured networking\, alongside a two-day training course on Validated AI Red Teaming for Production AI Systems. \n\n\n\nCall for Submissions\n\n\n\nThe Call for Submissions is open until 1 July 2026.A 500 word abstract is required\, with a focus on applied research or operational experience. \n\n\n\nMore information\n\n\n\nLearn more about the conference: https://www.amlucs.ai/Submit a proposal: https://www.amlucs.ai/call-for-submission
URL:https://kmcc-uk.org/event/applied-machine-learning-for-cyber-security-amlucs-conference-2026
LOCATION:Queen Elizabeth Olympic Park\,  London\, E15 2GW\, London\, United Kingdom
ATTACH;FMTTYPE=image/webp:https://kmcc-uk.org/wp-content/uploads/2026/06/amlucs-2026.webp
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