{"version":"1.0","provider_name":"Moore Learning","provider_url":"https:\/\/moorelearningeg.com","author_name":"Rainbows","author_url":"https:\/\/moorelearningeg.com\/index.php\/author\/rainbows\/","title":"generative ai application landscape 1 - Moore Learning","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\"><a href=\"https:\/\/moorelearningeg.com\/index.php\/2025\/05\/10\/generative-ai-application-landscape-1\/\">generative ai application landscape 1<\/a><\/blockquote>\n<script type='text\/javascript'>\n<!--\/\/--><![CDATA[\/\/><!--\n\t\t\/*! This file is auto-generated *\/\n\t\t!function(d,l){\"use strict\";var e=!1,n=!1;if(l.querySelector)if(d.addEventListener)e=!0;if(d.wp=d.wp||{},!d.wp.receiveEmbedMessage)if(d.wp.receiveEmbedMessage=function(e){var t=e.data;if(t)if(t.secret||t.message||t.value)if(!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var r,i,a,s=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=new RegExp(\"^https?:$\",\"i\"),c=0;c<n.length;c++)n[c].style.display=\"none\";for(c=0;c<s.length;c++)if(r=s[c],e.source===r.contentWindow){if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(a=parseInt(t.value,10)))a=1e3;else if(~~a<200)a=200;r.height=a}if(\"link\"===t.message)if(i=l.createElement(\"a\"),a=l.createElement(\"a\"),i.href=r.getAttribute(\"src\"),a.href=t.value,o.test(a.protocol))if(a.host===i.host)if(l.activeElement===r)d.top.location.href=t.value}}},e)d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",t,!1),d.addEventListener(\"load\",t,!1);function t(){if(!n){n=!0;for(var e,t,r=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),i=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),a=l.querySelectorAll(\"iframe.wp-embedded-content\"),s=0;s<a.length;s++){if(!(e=a[s]).getAttribute(\"data-secret\"))t=Math.random().toString(36).substr(2,10),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t);if(r||i)(t=e.cloneNode(!0)).removeAttribute(\"security\"),e.parentNode.replaceChild(t,e)}}}}(window,document);\n\/\/--><!]]>\n<\/script><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/moorelearningeg.com\/index.php\/2025\/05\/10\/generative-ai-application-landscape-1\/embed\/\" width=\"600\" height=\"338\" title=\"&#8220;generative ai application landscape 1&#8221; &#8212; Moore Learning\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe>","description":"Impact and Influence of GenAI on Project Managers Generative AI to Combat Cyber Security Threats For instance, adversaries use generative AI to create sophisticated threats at scale, identify vulnerabilities, and bypass security protocols. Notably, social engineers employ generative AI to craft convincing phishing scams and deepfakes, thus amplifying the threat landscape[4]. Despite these risks, generative [&hellip;]","thumbnail_url":"data:image\/jpeg;base64,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"}