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    Incedo AI Log Correlation Engine for Threat Detection

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    Sold by: Incedo Inc 
    AI-powered security monitoring platform that ingests raw logs, correlates events in real time, and detects threats across IT, OT, and IIoT environments. Built on AWS, it combines rule-based detection, anomaly intelligence, and automated response playbooks to improve security operations.

    Overview

    Turn Raw Logs into Real-Time Threat Intelligence

    Modern enterprises generate millions of security events daily across servers, applications, networks, industrial systems, and connected devices. Yet many security teams still rely on manual review, fragmented tools, and delayed investigations to identify real threats. Valuable signals are buried in noise while attackers move faster than traditional monitoring models can respond.

    Organizations can transform raw log data into real-time threat intelligence through specialized professional services focused on designing, implementing, and optimizing advanced log monitoring and threat detection capabilities on AWS. These services help enterprises centralize security visibility, correlate activity across systems, and identify malicious behavior as it emerges without relying solely on manual analysis. Designed for IT, OT, and IIoT ecosystems, these services enable security teams to detect faster, investigate smarter, and respond with greater confidence while building a scalable security operations foundation.

    Why Traditional Monitoring Falls Behind

    Many monitoring environments depend on isolated alerts, static signatures, and high volumes of false positives. Analysts spend time reviewing disconnected events instead of understanding attack patterns. Threats spanning multiple systems or evolving outside predefined rules often remain undetected until damage is done. This leads to slower response times, analyst fatigue, higher operational effort, and increased business risk.

    How Our Services Create Value

    Rule-based detection frameworks aligned to the MITRE ATT&CK framework identify known attack behaviors such as brute-force attempts, suspicious authentication patterns, privilege misuse, and multi-step intrusions. Advanced AI/ML anomaly detection models learn baseline behavior across users, systems, devices, and networks to surface unusual activity, insider risk, and evolving threats that static rules may miss. Guided incident response workflows help teams prioritize alerts and respond faster.

    What This Enables

    Organizations gain centralized log visibility, real-time threat detection, reduced false positives, faster investigations, automated response workflows, and a scalable monitoring foundation across complex environments.

    Highlights

    • Real-time log correlation engine that ingests diverse data sources and detects threats across IT, OT, and IIoT environments.
    • Dual detection model combining MITRE ATT&CK-aligned rules with AI/ML anomaly detection for broader threat coverage.
    • Integrated incident playbooks and automated workflows that accelerate investigation and response actions.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    For product support, implementation assistance, and technical inquiries, customers can contact the Incedo support team:

    Website: https://www.incedoinc.com 

    Email: Partnerships_Alliances@incedoinc.com 

    Incedo provides support across platform deployment, log source onboarding, rule customization, AI model tuning, SOC workflow integration, user enablement, and ongoing optimization.

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