1import{_ as n,a as i}from"./Bp4OjmPr.js";import{g as l,u as c,c as d,b as a,a as t,n as m,i as p,o as u,j as g}from"./C84TxwAF.js";import{u as k,d as x,a as h}from"./tGCJQecS.js";import"./CiOF_akl.js";const v={class:"border-b border-light-border py-16 dark:border-white/10"},b={class:"mx-auto max-w-[1180px] px-5 text-center"},E={__name:"lateral-movement",setup(f){const{trackEvent:o}=g();return l({title:"Lateral Movement SIEM Workflow | Fluency Security",ogTitle:"Lateral Movement SIEM Workflow",description:"See how Fluency SIEM detects lateral movement across authentication events, network activity, identity context, and privilege escalation signals.",ogDescription:"Fluency SIEM turns lateral movement detection into an evidence-backed workflow for identity, endpoint, and network investigation.",ogImage:{url:"https://fluencysecurity.com/images/ogImage.jpg",width:1200,height:630,alt:"Lateral Movement SIEM Workflow"},ogUrl:"https://fluencysecurity.com/workflows/lateral-movement/",ogType:"article",twitterCard:"summary_large_image",robots:"index, follow"}),c({link:[{rel:"canonical",href:"https://fluencysecurity.com/workflows/lateral-movement/"}]}),k([x({name:"Lateral Movement SIEM Workflow",description:"See how Fluency SIEM detects lateral movement across authentication events, network activity, identity context, and privilege escalation signals.",url:"https://fluencysecurity.com/workflows/lateral-movement/"}),h({name:"Fluency Security",url:"https://fluencysecurity.com",logo:"https://fluencysecurity.com/images/Fluency_Complete_Light.png"})]),(w,e)=>{const s=n,r=i;return u(),d("div",null,[a(s),t("main",null,[e[2]||(e[2]=m('<section class="border-b border-light-border py-16 dark:border-white/10 sm:pt-28 lg:pb-32"><div class="mx-auto max-w-[1180px] px-5"><div class="mx-auto max-w-2xl text-center"><div class="mb-8"><span class="rounded-full bg-purple-50 px-3 py-1 text-sm font-semibold leading-6 text-purple-600 ring-1 ring-inset ring-purple-600/20 dark:bg-purple-900/20 dark:text-purple-400 dark:ring-purple-400/20"> Workflow Detail </span></div><h1 class="text-4xl font-semibold tracking-tight text-light-ink dark:text-ink sm:text-6xl"> Lateral Movement </h1><p class="mt-6 text-lg leading-8 text-light-muted dark:text-muted"> Detects and analyzes lateral movement patterns across your network infrastructure. This workflow identifies unauthorized access attempts, privilege escalation, and suspicious network traversal that may indicate advanced persistent threats or compromised credentials. </p></div></div></section><section class="border-b border-light-border py-16 dark:border-white/10"><div class="mx-auto max-w-[1180px] px-5"><div class="mx-auto max-w-3xl rounded-3xl border border-light-border bg-light-surface-gradient p-8 shadow-lg dark:border-white/10 dark:bg-surface-gradient dark:shadow-brand-card sm:p-12"><h2 class="text-xl font-semibold mb-4 text-light-ink dark:text-ink">How It Works</h2><p class="mb-4 text-base leading-7 text-light-muted dark:text-muted"> Fluency's AI monitors network traffic, authentication events, and system access patterns to detect lateral movement attempts. The system analyzes user behavior, network connections, and privilege changes to identify suspicious patterns that may indicate an attacker moving through your infrastructure. </p><ul class="list-disc pl-5 space-y-2 text-base leading-7 text-light-muted dark:text-muted"><li>Monitors network connections and authentication events</li><li>Analyzes user privilege escalation patterns</li><li>Detects unusual access to sensitive systems</li><li>Identifies suspicious network traversal patterns</li><li>Correlates events across multiple systems and timeframes</li><li>Provides context on potential attack progression</li></ul></div></div></section>',2)),t("section",v,[t("div",b,[e[1]||(e[1]=t("p",{class:"text-xl font-semibold mb-4 text-light-ink dark:text-ink"},"Stop lateral movement with AI-powered detection",-1)),t("a",{href:"/#contact",target:"_blank",rel:"noopener noreferrer",onClick:e[0]||(e[0]=y=>p(o)("Contact Sales Click",{props:{button:"Contact Sales",location:"workflow-cta",page:"lateral-movement"}})),class:"inline-block rounded-xl bg-sky-600 hover:bg-sky-700 !text-white px-6 py-3 font-semibold shadow-lg transition dark:shadow-brand-card"}," Contact Sales ")])])]),a(r)])}}};export{E as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.