{"id":1067866,"date":"2024-06-12T02:51:00","date_gmt":"2024-06-12T06:51:00","guid":{"rendered":"https:\/\/www.immortalitymedicine.tv\/authenticid-releases-deep-fake-and-generative-ai-detection-solution-for-businesses-aithority\/"},"modified":"2024-08-18T11:40:17","modified_gmt":"2024-08-18T15:40:17","slug":"authenticid-releases-deep-fake-and-generative-ai-detection-solution-for-businesses-aithority","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/machine-learning\/authenticid-releases-deep-fake-and-generative-ai-detection-solution-for-businesses-aithority.php","title":{"rendered":"AuthenticID Releases Deep Fake and Generative AI Detection Solution for Businesses &#8211; AiThority"},"content":{"rendered":"<p><p>New Capability Addresses Surge in Injection        Attacks Fueled by AI-Based Technology              <\/p>\n<p>    AuthenticID, a global leader in identity    verification and fraud prevention solutions, announced the    release of a new solution to detect deep fake and    generative    AI injection attacks. This new enhancement to    their identity verification technology, developed by    AuthenticIDs Product and Applied Research team, uses    proprietary algorithms to prevent the majority of digital    injection attacks that leverage AI-generated content.  <\/p>\n<p>    Read:Impel    adds WhatsApp messaging to AI-Powered Customer Lifecycle    Management Platform  <\/p>\n<p>      The widespread availability of inexpensive, easy-to-use      tools allows bad actors to create highly convincing fake      identity documents and biometrics    <\/p>\n<p>    Deep fakes are synthetic documents, videos or biometrics such    as facial or audio that are artificially generated using    machine learning, specifically deep learning techniques.    Digital injection attacks occur when a bad actor injects    these deep fakes into an identity verification workflow to    spoof the system and bypass traditional fraud detection and    identity verification methods.  <\/p>\n<p>    The widespread availability of inexpensive, easy-to-use tools    allows bad actors to create highly convincing fake identity    documents and biometrics, said Alex Wong, VP Product Management at AuthenticID.    Recentnews storieshave shown just how devastating    these attacks can be to any organization. Ourdeep fake    injection attack solutionmeets a critical need to    determine the legitimacy of a user in this new era of    technology.  <\/p>\n<p>    AiThority.com Latest News:Arista    Unveils Etherlink AI Networking Platforms  <\/p>\n<p>    AuthenticIDs Injection Attack Solution uses three    methods with targeted, proprietary algorithms.  <\/p>\n<p>    The AuthenticID identity verification solution is 100%    automated, driven by machine learning technology. The    solutions automation means there is no human bias or lag time    introduced in the detection and decisioning process. Stopping    injection attacks and deep fake attacks can be done in a    workflow in a matter of milliseconds.  <\/p>\n<p>    Weve observed fraudsters making fewer mistakes when they    create fake documents, noted Stephen Thwaits, AuthenticIDs    SVP Global Solutions. Traditional identity verification    methods cant keep up with both the sophistication and ease at    which bad actors can circumvent security measures with the use    of new tools. Thats why continuous innovation is necessary to    meet fraudsters at the front line.  <\/p>\n<p>    Importantly, these algorithms and the overall solution are not    a silver bullet in the fight against injection attacks and    other identity fraud methods. Fraudsters are evolving their    methods daily to develop new ways to circumvent identify    verification and security measures. That is why    AuthenticIDsIdentity Fraud Taskforceis committed    to continuously developing new algorithms and improving the    identity verification decisioning engine to ensure new fraud    vectors can be identified and stopped.  <\/p>\n<p>    AuthenticID will continue to drive innovation forward in its    technology to ensure companies can stay ahead of changing fraud    techniques and regulatory requirements while delivering    best-in-class customer    experience.  <\/p>\n<p>    AiThority.com Latest    News:Quantexa    Partners with Databricks to Accelerate Customer Data and AI    Initiatives  <\/p>\n<p>    [To share your insights with us as part of editorial or    sponsored content, please write to    <a href=\"mailto:psen@itechseries.com\">psen@itechseries.com<\/a>]  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read more:<br \/>\n<a target=\"_blank\" href=\"https:\/\/aithority.com\/machine-learning\/authenticid-releases-deep-fake-and-generative-ai-detection-solution-for-businesses\/\" title=\"AuthenticID Releases Deep Fake and Generative AI Detection Solution for Businesses - AiThority\" rel=\"noopener\">AuthenticID Releases Deep Fake and Generative AI Detection Solution for Businesses - AiThority<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> New Capability Addresses Surge in Injection Attacks Fueled by AI-Based Technology AuthenticID, a global leader in identity verification and fraud prevention solutions, announced the release of a new solution to detect deep fake and generative AI injection attacks. This new enhancement to their identity verification technology, developed by AuthenticIDs Product and Applied Research team, uses proprietary algorithms to prevent the majority of digital injection attacks that leverage AI-generated content. Read:Impel adds WhatsApp messaging to AI-Powered Customer Lifecycle Management Platform The widespread availability of inexpensive, easy-to-use tools allows bad actors to create highly convincing fake identity documents and biometrics Deep fakes are synthetic documents, videos or biometrics such as facial or audio that are artificially generated using machine learning, specifically deep learning techniques.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/machine-learning\/authenticid-releases-deep-fake-and-generative-ai-detection-solution-for-businesses-aithority.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[1231415],"tags":[],"class_list":["post-1067866","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1067866"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=1067866"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/1067866\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=1067866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=1067866"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=1067866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}