{"id":85271,"date":"2025-12-31T11:00:26","date_gmt":"2025-12-31T11:00:26","guid":{"rendered":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/?p=85271"},"modified":"2026-05-29T10:29:43","modified_gmt":"2026-05-29T10:29:43","slug":"data-poisoning-attacks-against-machine-learning-models-agentic-ai-systems","status":"publish","type":"post","link":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/cyber-talks\/data-poisoning-attacks-against-machine-learning-models-agentic-ai-systems\/","title":{"rendered":"Data Poisoning Attacks Against Machine Learning Models &#038; Agentic AI Systems"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"85271\" class=\"elementor elementor-85271\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a642ad6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a642ad6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5822d23\" data-id=\"5822d23\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c82d959 elementor-widget elementor-widget-text-editor\" data-id=\"c82d959\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Date:<\/strong> June 17, 2026<\/p><p><strong>Time:<\/strong> 9:30 AM EDT | 8:30 AM CDT | 7:00 PM IST<\/p><p><strong>Topic:<\/strong> Data Poisoning Attacks Against Machine Learning Models &amp; Agentic AI Systems<\/p><p><a class=\"watch_now_btn elementor-button\" href=\"https:\/\/attendee.gotowebinar.com\/register\/8154066647233562716?source=ECC+Webpage\" target=\"_blank\" rel=\"noopener\">Register Now<\/a><\/p><p><strong>Abstract:<\/strong><br \/>Machine learning models are only as trustworthy as the data they learn from, but that underlying data is increasingly becoming a target. Data poisoning attacks subtly manipulate training datasets, embedding malicious patterns that can degrade model performance, introduce bias, or create hidden backdoors. As organizations accelerate AI adoption across cloud environments, these risks often go undetected until real-world damage occurs. <br \/>Unlike traditional cyberattacks, data poisoning operates silently within the AI lifecycle, bypassing perimeter defenses and evading conventional security tools. A single compromised dataset can ripple across multiple models, leading to flawed predictions, regulatory exposure, and erosion of trust. From recommendation systems to fraud detection and autonomous systems, the consequences can be severe and difficult to trace back to the root cause. <br \/>The current webinar will demystify data poisoning attacks and equip you with practical strategies to defend against them. We\u2019ll explore how attackers exploit data pipelines, demonstrate real-world attack scenarios, and outline robust mitigation techniques, from secure data sourcing and validation to AI-aware monitoring and governance frameworks. Attendees will walk away with actionable insights to strengthen the integrity and resilience of their machine learning systems.<\/p><p><strong>Key Takeaways:<\/strong><\/p><ul><li>Understanding how data poisoning attacks work<\/li><li>Identifying vulnerabilities across the ML lifecycle<\/li><li>Explore real-world examples and their business impact across industries<\/li><li>Leveraging AI security frameworks and governance models to reduce risk and ensure compliance<\/li><li>Integrating continuous monitoring and logging to detect and respond to attacks<\/li><li>Aligning AI security across various environments for end-to-end protection<\/li><\/ul><p><strong>Speaker:<br \/><img fetchpriority=\"high\" decoding=\"async\" class=\"alignleft wp-image-85273 size-medium\" src=\"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/wp-content\/uploads\/2026\/05\/jasonross-pic-271x300.jpg\" alt=\"\" width=\"271\" height=\"300\" srcset=\"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/wp-content\/uploads\/2026\/05\/jasonross-pic-271x300.jpg 271w, https:\/\/www.eccouncil.org\/cybersecurity-exchange\/wp-content\/uploads\/2026\/05\/jasonross-pic.jpg 598w\" sizes=\"(max-width: 271px) 100vw, 271px\" \/>Jason Ross<\/strong>, Product Security Principal at Salesforce <br \/><strong>Bio: <\/strong>Jason Ross is a cybersecurity professional with 20+ years of experience, currently serving as Product Security Principal at Salesforce. His work focuses on adversarial testing and defense of deployed generative AI applications, agentic systems, and the large language models powering them. He specializes in prompt injection attacks and defense, model governance and security, and agent exploitation across high-stakes, high-visibility production deployments.<\/p><p>Beyond his role at Salesforce, Jason co-leads the OWASP GenAI Security Project Red Team Initiative and contributed to authoring the OWASP GenAI Red Teaming Guide. He is also an active contributor to the broader security community, serving as a staff member at BSidesLV and a volunteer at DEF CON.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Date: June 17, 2026 Time: 9:30 AM EDT | 8:30 AM CDT | 7:00 PM IST Topic: Data Poisoning Attacks Against Machine Learning Models &amp; Agentic AI Systems Register Now Abstract:Machine learning models are only as trustworthy as the data they learn from, but that underlying data is increasingly becoming a target. Data poisoning attacks&hellip;<\/p>\n","protected":false},"author":33,"featured_media":85272,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[12482,12483],"tags":[],"class_list":{"0":"post-85271","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cyber-talks","8":"category-upcoming-cybertalks"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.13 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Data Poisoning Attacks on ML &amp; Agentic AI Systems | ECC Webinar<\/title>\n<meta name=\"description\" content=\"Learn how data poisoning attacks silently compromise machine learning models and agentic AI systems. 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