scanner
  • About Scanner
  • When to use it
  • Architecture
  • Getting Started
  • Playground Guide
    • Overview
    • Part 1: Search and Analysis
    • Part 2: Detection Rules
    • Wrapping Up
  • Log Data Sources
    • Overview
    • List
      • AWS
        • AWS Aurora
        • AWS CloudTrail
        • AWS CloudWatch
        • AWS ECS
        • AWS EKS
        • AWS GuardDuty
        • AWS Lambda
        • AWS Route53 Resolver
        • AWS VPC Flow
        • AWS VPC Transit Gateway Flow
        • AWS WAF
      • Cloudflare
        • Audit Logs
        • Firewall Events
        • HTTP Requests
        • Other Datasets
      • Crowdstrike
      • Custom via Fluentd
      • Fastly
      • GitHub
      • Jamf
      • Lacework
      • Osquery
      • OSSEC
      • Sophos
      • Sublime Security
      • Suricata
      • Syslog
      • Teleport
      • Windows Defender
      • Windows Sysmon
      • Zeek
  • Indexing Your Logs in S3
    • Linking AWS Accounts
      • Manual setup
        • AWS CloudShell
      • Infra-as-code
        • AWS CloudFormation
        • Terraform
        • Pulumi
    • Creating S3 Import Rules
      • Configuration - Basic
      • Configuration - Transformations
      • Previewing Imports
      • Regular Expressions in Import Rules
  • Using Scanner
    • Query Syntax
    • Aggregation Functions
      • avg()
      • count()
      • countdistinct()
      • eval()
      • groupbycount()
      • max()
      • min()
      • percentile()
      • rename()
      • stats()
      • sum()
      • table()
      • var()
      • where()
    • Detection Rules
      • Event Sinks
      • Out-of-the-Box Detection Rules
      • MITRE Tags
    • API
      • Ad hoc queries
      • Detection Rules
      • Event Sinks
      • Validating YAML files
    • Built-in Indexes
      • _audit
    • Role-Based Access Control (RBAC)
    • Beta features
      • Scanner for Splunk
        • Getting Started
        • Using Scanner Search Commands
        • Dashboards
        • Creating Custom Content in Splunk Security Essentials
      • Scanner for Grafana
        • Getting Started
      • Jupyter Notebooks
        • Getting Started with Jupyter Notebooks
        • Scanner Notebooks on Github
      • Detection Rules as Code
        • Getting Started
        • Writing Detection Rules
        • CLI
        • Managing Synced Detection Rules
      • Detection Alert Formatting
        • Customizing PagerDuty Alerts
      • Scalar Functions and Operators
        • coalesce()
        • if()
        • arr.join()
        • math.abs()
        • math.round()
        • str.uriencode()
  • Single Sign On (SSO)
    • Overview
    • Okta
      • Okta Workforce
      • SAML
  • Self-Hosted Scanner
    • Overview
Powered by GitBook
On this page
  • Supported Log Sources
  • Adding Detection Rules to Scanner
  • Customization

Was this helpful?

  1. Using Scanner
  2. Detection Rules

Out-of-the-Box Detection Rules

PreviousEvent SinksNextMITRE Tags

Last updated 4 months ago

Was this helpful?

Scanner provides pre-configured detection rules for common enterprise log sources, enabling immediate security monitoring capabilities across your cloud and SaaS infrastructure. These detections are maintained as YAML files in public GitHub repositories, making them easy to review, import, and customize.

Supported Log Sources

Scanner currently supports the following log sources with ready-to-use detection rules:

Cloud Platforms

  • AWS CloudTrail - Detection rules for AWS audit logs and CloudTrail events

    • Repository:

  • Google Cloud Platform (GCP) - Detection rules for GCP audit and security logs

    • Repository:

  • Microsoft Azure - Detection rules for Azure activity and security logs

    • Repository:

Identity and Access Management

  • Okta - Detection rules for Okta authentication and administration events

    • Repository:

  • Auth0 - Detection rules for Auth0 authentication logs

    • Repository:

  • Cisco Duo - Detection rules for Duo Security authentication events

    • Repository:

Collaboration and Productivity

  • GitHub - Detection rules for GitHub organization and repository events

  • Microsoft 365 - Detection rules for Microsoft 365 audit logs

  • Slack - Detection rules for Slack workspace events

  • Google Workspace (formerly GSuite) - Detection rules for Google Workspace admin and security logs

Data and Infrastructure

  • Snowflake - Detection rules for Snowflake database access and usage

  • Windows Process Creation Events - Detection rules for Windows process creation events

Adding Detection Rules to Scanner

To add these detection rules in your Scanner environment:

  • Navigate to Detections.

  • Click New > Add Rules From Github:

  • Under Connected Repositories, click Add Repository:

  • Under Repository, enter the name of the repository containing the out-of-the-box detection rules you want to add, eg. scanner-inc/detection-rules-aws-cloudtrail. A matching option should appear in the dropdown list - click it:

  • Under Branch, select main.

  • Once the repository and branch have been selected, you should see Assign Event Sinks, which will allow you to send alerts of different severity levels to different destinations as you wish:

  • Click Add Repository.

The out-of-the-box detection rules will be continuously synced to your environment as new commits are pushed to the main branch of the repository.

Customization

Scanner's detection rules are designed to be flexible and adaptable to your organization's specific needs. You can fork any of the detection rule repositories to create your own customized version while maintaining the ability to pull updates from the official repositories. Through Scanner's interface, individual rules can be enabled or disabled, allowing you to activate only the detections relevant to your environment.

Detection rules include configurable parameters that can be adjusted to match your security requirements, such as detection thresholds, time windows, and severity levels. These parameters can be modified in the YAML files to optimize detection sensitivity for your environment.

If you develop improvements that could benefit the broader community, you can contribute them back to the main repositories through pull requests.

Repository:

Repository:

Repository:

Repository:

Repository:

Repository:

scanner-inc/detection-rules-aws-cloudtrail
scanner-inc/detection-rules-gcp
scanner-inc/detection-rules-azure
scanner-inc/detection-rules-okta
scanner-inc/detection-rules-auth0
scanner-inc/detection-rules-cisco-duo
scanner-inc/detection-rules-github
scanner-inc/detection-rules-microsoft-365
scanner-inc/detection-rules-slack
scanner-inc/detection-rules-gsuite
scanner-inc/detection-rules-snowflake
scanner-inc/detection-rules-windows-process-creation