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Cybersecurity Rapid7

Rapid7 InsightIDR

Rapid7 InsightIDR: cloud-native SIEM and XDR. User Behavior Analytics, deception technology, automated response. Real-time threat detection.

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Grzegorz Gnych

Grzegorz Gnych

Sales Representative

Key Features

  • Cloud SIEM - cloud-native log management and analysis
  • User Behavior Analytics (UBA) - user anomaly detection
  • Deception Technology - honeypots and traps
  • Endpoint Detection - endpoint detection
  • Automated Response - automated incident response
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Grzegorz Gnych

Grzegorz Gnych

Sales Representative

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Table of Contents

What is Rapid7 InsightIDR?

Rapid7 InsightIDR is a cloud-native SIEM and XDR that combines log management, User Behavior Analytics, deception technology, and automated response in a single platform.

Key differentiators:

  • Cloud-native - no on-prem infrastructure
  • UBA - behavioral anomaly detection
  • Deception - built-in honeypots
  • XDR capabilities - endpoint, cloud, network correlation

Solution Architecture

graph TB
    subgraph "Data Collection"
        A[Logs] --> E[InsightIDR Cloud]
        B[Endpoints] --> E
        C[Cloud Services] --> E
        D[Network] --> E
    end

    subgraph "Detection Engine"
        E --> F[Log Analytics]
        E --> G[UBA]
        E --> H[Attacker Behavior]
        E --> I[Deception Alerts]
    end

    subgraph "Response"
        F --> J[Alert]
        G --> J
        H --> J
        I --> J
        J --> K[Investigation]
        K --> L[Automated Response]
    end

User Behavior Analytics (UBA)

InsightIDR creates a baseline of user behaviors:

Monitored activities:

  • Logins (time, location, device)
  • Resource access
  • Activity patterns
  • Privilege escalation

Detected anomalies:

  • Unusual login hours
  • Login from new location
  • Access to unusual resources
  • Lateral movement
[Normal Behavior] --> [Baseline] --> [Anomaly Detection] --> [Risk Score]
                                            |
                                    [Contextual Alert]

Attacker Behavior Analytics (ABA)

Detecting attacker techniques mapped to MITRE ATT&CK:

TacticExample Detections
Initial AccessPhishing, brute force
ExecutionPowerShell abuse, malicious scripts
PersistenceRegistry modification, scheduled tasks
Privilege EscalationToken manipulation, UAC bypass
Credential AccessMimikatz, credential dumping
Lateral MovementPass-the-hash, RDP abuse
ExfiltrationData staging, unusual transfers

Deception Technology

Built-in honeypots and traps:

Honeypots

  • Honey Users - fake user accounts
  • Honey Credentials - fake login credentials
  • Honey Files - decoy files
  • Honey Processes - trap processes

Deception Benefits

  • Zero false positives - every alert is real activity
  • Early detection - detection before escalation
  • Attacker insights - information about attacker techniques

Data Sources

Log Sources

  • Windows Events - Security, System, Application
  • Active Directory - logins, changes
  • Firewall logs - Fortinet
  • Cloud logs - AWS CloudTrail, Azure, O365

Endpoint Data (Insight Agent)

  • Process execution
  • Network connections
  • File modifications
  • Registry changes

Network Data

  • DNS queries
  • DHCP leases
  • Network flows

Automated Response

Automatic response actions:

[Detection] --> [Playbook Trigger] --> [Automated Action]
                                              |
                        +---------------------+---------------------+
                        |                     |                     |
                [Disable User]        [Isolate Endpoint]    [Block IP]

Available actions:

  • Disable Active Directory user
  • Isolate endpoint (via Insight Agent)
  • Block IP on firewall
  • Create ticket in ServiceNow/Jira
  • Send notification (Slack, Teams, email)

Investigation & Forensics

Investigation Timeline

  • Visual incident timeline
  • Event correlation from multiple sources
  • User and resource context
  • Fast log search
  • LEQL (Log Entry Query Language)
  • Saved searches and dashboards

Integrations

Identity

  • Active Directory
  • Azure AD
  • Okta, Ping Identity

Cloud

  • AWS CloudTrail
  • Azure Activity Logs
  • Google Cloud Audit Logs
  • Microsoft 365

Endpoint

  • Insight Agent (native)
  • CrowdStrike, Carbon Black
  • Microsoft Defender

Network

  • Fortinet
  • Cisco, Juniper

Who is it for?

Rapid7 InsightIDR is for organizations that:

  • Seek cloud-native SIEM without on-prem infrastructure
  • Need UBA for insider threat detection
  • Want fast deployment (weeks, not months)
  • Require automated response capabilities

Comparison with Competition

FeatureInsightIDRSplunkMicrosoft Sentinel
Cloud-nativePartial
UBA built-inAdd-on
Deception
Endpoint agentVia Defender
PricingPer-assetPer-GBPer-GB

Deployment with nFlo

  1. Log Source Inventory - log source inventory
  2. Agent Deployment - Insight Agent deployment
  3. Log Collection - log collection configuration
  4. Detection Tuning - detection tuning
  5. Deception Setup - honeypot configuration
  6. Playbook Creation - response playbook creation
  7. Training - SOC team training

Inquire about Rapid7 InsightIDR

Contact your product specialist and get a custom quote.

Sales Representative
Grzegorz Gnych

Grzegorz Gnych

Sales Representative

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