Preventing Fraud with a Multi-Channel Approach

[vc_row][vc_column][vc_custom_heading text=”Preventing Fraud with a Multi-Channel Approach” use_theme_fonts=”yes”][vc_column_text]Join Star One Credit Union, a financial institution with more than $9B in assets, as they discuss how they leverage their Guardian Analytics financial crime prevention platform to detect anomalies and suspicious activity in their online, mobile, and payments channels.[/vc_column_text][/vc_column][/vc_row][vc_row equal_height=”yes” content_placement=”top”][vc_column width=”1/3″][vc_custom_heading text=”Sign Up For The Discussion” font_container=”tag:h4|text_align:left” use_theme_fonts=”yes”][vc_separator color=”black” css=”.vc_custom_1493733523939{padding-bottom: 10px !important;}”][vc_column_text]

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    [/vc_column_text][/vc_column][vc_column width=”2/3″][vc_custom_heading text=”The Details” font_container=”tag:h4|text_align:left” use_theme_fonts=”yes”][vc_separator color=”black” css=”.vc_custom_1493733523939{padding-bottom: 10px !important;}”][vc_row_inner][vc_column_inner width=”3/4″][vc_column_text]In this webinar Margarete Mucker, EVP of Operations from Star One Credit Union, will share what her organization is doing to protect their members from fraud.

    Guardian Analytics VP of Product Development, Jesus Ortiz, will explain how a machine learning and behavioral analytics approach to fraud detection positions financial institutions to better protect their customers from the wide array of fraud threats that ultimately lead to financial crime.[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″ offset=”vc_hidden-xs”][vc_images_carousel images=”365793″ img_size=”full” onclick=”link_no” autoplay=”yes” hide_pagination_control=”yes” hide_prev_next_buttons=”yes” wrap=”yes”][/vc_column_inner][/vc_row_inner][vc_column_text]Date and Time: Wednesday, December 6th at 12:00pm EST

    Guest: Margarete Mucker, EVP Operations at Star One Credit Union and Jesus Ortiz, VP Product Development at Guardian Analytics[/vc_column_text][/vc_column][/vc_row]