{"id":3226,"date":"2025-05-19T12:49:21","date_gmt":"2025-05-19T12:49:21","guid":{"rendered":"https:\/\/cybersecurityinfocus.com\/?p=3226"},"modified":"2025-05-19T12:49:21","modified_gmt":"2025-05-19T12:49:21","slug":"how-fidelis-elevate-achieves-active-threat-detection","status":"publish","type":"post","link":"https:\/\/cybersecurityinfocus.com\/?p=3226","title":{"rendered":"How Fidelis Elevate\u00ae Achieves Active Threat Detection"},"content":{"rendered":"
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Modern security teams face a dual challenge: <\/span>they\u2019re<\/span> bombarded with alerts while still missing critical signals that <\/span>indicate<\/span> real threats. Fidelis Active Threat Detection tackles this problem by correlating weak signals across multiple phases of attacks, transforming them into actionable intelligence. <\/span>Let\u2019s<\/span> examine the technical mechanics behind this capability within the <\/span>Fidelis Elevate\u00ae<\/span> platform.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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The Technical Foundation of Active Threat Detection<\/h2>\n<\/div>\n<\/div>\n
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Fidelis Active Threat Detection<\/span>\u2122<\/span> operates<\/span> as an integral <\/span>component<\/span> of the <\/span>Fidelis Elevate<\/a>\u00ae<\/span> XDR framework. Rather than functioning as a standalone solution, it <\/span>leverages<\/span> multiple data streams from across the security infrastructure to build comprehensive threat intelligence.<\/span><\/p>\n<\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n<\/div>\n
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Deep Session Inspection: The Core Detection Engine<\/h3>\n<\/div>\n<\/div>\n
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At the foundation of <\/span>Fidelis <\/span>Elevate\u00ae<\/span>\u2018s<\/span> threat detection capabilities is its patented Deep Session Inspection<\/a><\/span>\u00ae<\/span> technology. Unlike conventional traffic monitoring systems that evaluate only headers or basic packet data, this technology:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tProcesses traffic at speeds up to 20 GB through specialized 1U sensors<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tInspects content across all network ports and protocols<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tReconstructs and analyzes complete sessions rather than isolated packets<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDetects threats concealed within nested files and complex data structures<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tSeamlessly integrates with third-party decryption technologies to examine encrypted traffic both in-line and out-of-band<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tMonitors ephemeral and containerized workloads that frequently escape detection<\/span><\/p><\/div>\n<\/div>\n

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This deep inspection creates the raw signal data that feeds into the threat detection correlation system.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Continuous Terrain Mapping and Risk Assessment<\/h3>\n<\/div>\n<\/div>\n
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For <\/span>accurate<\/span> threat detection, <\/span>Fidelis Elevate\u00ae<\/span> first <\/span>establishes<\/span> comprehensive visibility through:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tReal-time inventory collection across on-premises and cloud environments<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tAsset classification and risk profiling<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tNetwork traffic pattern analysis<\/a><\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tData flow monitoring<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tConfiguration assessment<\/span><\/p><\/div>\n<\/div>\n

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This environmental awareness creates the contextual backdrop against which potential threat signals are evaluated.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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The Signal Correlation Mechanism<\/h2>\n<\/div>\n<\/div>\n
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The actual mechanics of Active Threat Detection involve several distinct technical processes:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Signal Aggregation from Multiple Sources<\/h3>\n<\/div>\n<\/div>\n
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Fidelis Elevate\u00ae<\/span> aggregates data from multiple detection vectors:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tNetwork traffic analysis alerts from Fidelis Network<\/a>\u00ae<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDeception environment triggers from Fidelis Deception<\/a>\u00ae<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tEndpoint detections from Fidelis Endpoint<\/a>\u00ae or third-party EDR solutions<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tSandbox<\/a> execution results for suspicious files<\/span><\/p><\/div>\n<\/div>\n

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Proprietary Correlation Algorithms<\/h3>\n<\/div>\n<\/div>\n
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These signals then undergo analysis using proprietary algorithms that:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tIdentify potentially related events across different security layers<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tApply temporal correlation to establish potential attack sequences<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tEvaluate indicators against baseline behavioral patterns<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tFilter out noise and false positives using contextual intelligence<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tIdentify connections based on threat actor profiles and TTPs <\/span><\/p><\/div>\n<\/div>\n

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MITRE ATT&CK Framework Mapping<\/h3>\n<\/div>\n<\/div>\n
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A crucial technical element is the automatic mapping to the MITRE ATT&CK framework, which:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCategorizes observed techniques according to established attack patterns<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tSupplements proprietary detection with industry-standard classification<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tEnables defenders to understand the attack stage and potential next steps<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tProvides a common language for threat analysis and response<\/span><\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Don\u2019t Let Weak Signals Become Missed Threats<\/div>\n<\/div>\n<\/div>\n
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Act now to stop what others overlook \u2014 before the breach happens. Download the Free Data<\/span>s<\/span>heet to Discover:<\/span><\/span><\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tWays to eliminate alert fatigue<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tInsight into the detection-to-remediation process<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tMapping threat signals<\/span><\/p><\/div>\n<\/div>\n

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\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\tDownload Now<\/span>
\n\t\t\t\t\t<\/span>
\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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The Technical Workflow of Active Threat Detection<\/h2>\n<\/div>\n<\/div>\n
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In practice, Active Threat Detection follows a defined technical process flow:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tSignal Collection: The system continuously gathers indicators from across the security environment, generating a stream of potential threat data.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tInitial Filtering: Basic noise reduction removes obvious false positives and low-significance events.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCorrelation Engine Processing: The remaining signals undergo correlation analysis using the proprietary algorithms described above.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tConfidence Scoring: Each potential threat pattern receives a confidence score based on the strength, number, and relationships between correlated signals.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tConclusion Generation: For high-confidence detections, the system generates an “Active Threat” conclusion containing detailed evidence and attack context.<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tResponse Integration: These conclusions integrate with automated response workflows and analyst investigation tools.<\/span><\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Technical Integration with the Security Stack<\/h2>\n<\/div>\n<\/div>\n
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As an open XDR platform<\/a>, <\/span>Fidelis <\/span>Elevate\u00ae<\/span>\u2018s<\/span> Active Threat Detection integrates with existing security infrastructure via:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tREST APIs for bidirectional data exchange<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tOut-of-the-box connectors for common security platforms<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCustom integration options through the Fidelis API<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tWebhook-based alert forwarding<\/span><\/p><\/div>\n<\/div>\n

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This integration ensures that Active Threat Detection enhances rather than duplicates existing security investments.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Real-World Technical Implementation<\/h2>\n<\/div>\n<\/div>\n
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In practical deployment, Active Threat Detection <\/span>demonstrates<\/span> several key technical capabilities:<\/span><\/p>\n<\/div>\n<\/div>\n

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Threat Pattern Recognition<\/h3>\n<\/div>\n<\/div>\n
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The system recognizes complex threat patterns, including:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tMulti-stage attack sequences spanning days or weeks<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tLiving-off-the-land techniques using legitimate tools<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tSupply chain compromise indicators<\/a><\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tCommand-and-control communications hidden in legitimate traffic<\/span><\/p><\/div>\n<\/div>\n

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Real-Time Processing Architecture<\/h2>\n<\/div>\n<\/div>\n
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The underlying architecture enables:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tParallel processing of multiple threat signals<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tNear real-time correlation of disparate events<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tDynamic updating of threat conclusions as new evidence emerges<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tContinuous recalibration of detection algorithms based on new intelligence<\/span><\/p><\/div>\n<\/div>\n

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Forensic Evidence Collection <\/h3>\n<\/div>\n<\/div>\n
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For each Active Threat detection, the system automatically preserves:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tRelevant network traffic captures<\/span><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tProcess execution logs<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tFile access records<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tAuthentication events<\/span><\/p>\n

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>
\n\t\t\t\t\t\t\t\t\t\tConfiguration changes<\/span><\/p><\/div>\n<\/div>\n

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This evidence collection happens automatically as threats are detected, creating a comprehensive record for investigation.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Technical Benefits of the Approach<\/h2>\n<\/div>\n<\/div>\n
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The technical design of Active Threat Detection offers several distinct advantages:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Reduced False Positives <\/h3>\n<\/div>\n<\/div>\n
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By correlating multiple signals before generating alerts, the system dramatically reduces false positives compared to traditional point solutions.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Increased Detection Confidence<\/h3>\n<\/div>\n<\/div>\n
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The confidence scoring mechanism ensures analysts receive high-quality alerts with sufficient supporting evidence for immediate action.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Enhanced Investigation Efficiency<\/h3>\n<\/div>\n<\/div>\n
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Detailed contextual information and evidence preservation streamline the investigation process, reducing time-to-remediation.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n

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Continuous Security Improvement<\/h3>\n<\/div>\n<\/div>\n
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The system\u2019s intelligence grows over time through:<\/span>\u00a0<\/span><\/p>\n

Machine learning algorithms<\/a> that refine detection patterns<\/span>\u00a0<\/span>New correlation rules based on emerging threats<\/span>\u00a0<\/span>Automatic incorporation of threat intelligence<\/span>\u00a0<\/span>Feedback loops from analyst investigations<\/span>\t\t\t\t\t\t<\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Conclusion<\/h2>\n<\/div>\n<\/div>\n
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Fidelis Active Threat Detection<\/span>\u2122<\/span> represents<\/span> a sophisticated technical approach to the modern threat detection challenge. By correlating weak signals across multiple security layers, mapping findings to known attack patterns, and providing rich contextual intelligence<\/span>,<\/span> it empowers security teams to detect and respond to threats that might otherwise go unnoticed. The integration of this capability within the broader <\/span>Fidelis Elevate\u00ae<\/span> platform creates a comprehensive security solution that addresses the full attack lifecycle, from <\/span>initial<\/span> detection through investigation and response.<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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The post How Fidelis Elevate\u00ae Achieves Active Threat Detection<\/a> appeared first on Fidelis Security<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

Modern security teams face a dual challenge: they\u2019re bombarded with alerts while still missing critical signals that indicate real threats. Fidelis Active Threat Detection tackles this problem by correlating weak signals across multiple phases of attacks, transforming them into actionable intelligence. Let\u2019s examine the technical mechanics behind this capability within the Fidelis Elevate\u00ae platform. The […]<\/p>\n","protected":false},"author":0,"featured_media":3227,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-3226","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/3226"}],"collection":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3226"}],"version-history":[{"count":0,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/3226\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/media\/3227"}],"wp:attachment":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3226"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}