Understand the IaC misconfigurations table - Administrator Guide - Cortex Cloud Posture Management - Cortex CLOUD

Cortex Cloud Posture Management Documentation

Product
Cortex Cloud Application Security > Cortex CLOUD
License
Cloud Posture Management
Creation date
2025-01-22
Last date published
2026-06-10
Category
Administrator Guide

The IaC misconfigurations table provides a consolidated view of all IaC misconfiguration issues. Each row represents an issue created when a scanner finding matches a unified policy, linking the misconfiguration to a specific detection rule, file, repository, and the policy that triggered the issue.

Visible columns (default)

Column

Description

Severity

The severity level assigned to the misconfiguration: Critical, High, Medium, Low, Informational, or Unknown. Severity is determined by the detection rule and may be overridden by a matched unified policy

Name

The descriptive name of the misconfiguration (such as Container is privileged misconfiguration detected in code). The Name column serves as the primary identifier for the issue

File Path

The path to the IaC template file containing the misconfiguration, including the affected line range (such as /features/k8s/job_specs/pi-job-3.yml (1-12))

Branch

The repository branch where the misconfiguration was detected (such as main)

Created

The timestamp when the issue was first detected

Framework

The IaC framework of the affected template: Terraform, CloudFormation, or Kubernetes

Prioritization Labels

Contextual labels that indicate risk-amplifying factors such as deployment status, internet exposure, or application criticality

Hidden columns (available via column picker)

Column

Description

Data Source

The VCS provider where the repository is hosted (GitHub, GitLab, Bitbucket, Azure DevOps, and variants)

Last Updated

The timestamp of the most recent update to the issue

Alert Description

A detailed description of the misconfiguration and the recommended configuration

Asset ID

The internal identifier of the IaC asset

Detection Method

The scanner that detected the misconfiguration (CAS_IAC_SCANNER)

Alert Source

The originating scanner source

Git User

The Git author associated with the commit that introduced the misconfiguration

Finding ID

The unique identifier of the underlying finding

Issue ID

The internal issue identifier used for API operations and cross-referencing

Manual Fix Suggestion

The recommended manual remediation steps, including code samples

Rule ID

The detection rule identifier (such as CKV_K8S_100, CKV_K8S_16)

Code Lines

The specific line range within the file where the misconfiguration occurs

Domain Provider

The cloud provider domain associated with the misconfiguration

Code Block

The source code snippet containing the misconfigured resource

Code Highlights

The specific lines within the code block that are flagged

Domain

The security domain classification (such as POSTURE)

Assignee

The user assigned to remediate the issue

Assignee Name

The display name of the assigned user

Resolution Status

The current resolution state: New, In Progress, or Resolved

Resolution Comment

The comment provided when the resolution status was changed

Original Severity

The severity assigned by the detection rule before any policy override

Provider Link

A direct link to the file in the VCS provider

Is Fixable

Indicates whether an automated fix pull request is available for the misconfiguration

Rule ID Link

A link to the detection rule documentation

Finding Category

The category classification of the finding (such as Application Security)

Subcategory

The subcategory classification of the finding

Tags

User-defined or system-generated tags applied to the issue

Filter and sort the table:

Use the filter bar at the top of the IaC Misconfigurations table to narrow results by any filterable column. Common filtering strategies include:

  • By severity: Filter to Critical and High severity to focus on the most impactful misconfigurations

  • By framework: Filter to a specific IaC framework (such as Terraform) to scope remediation to a single technology stack

  • By branch: Filter to the main or production branch to focus on misconfigurations that affect production-bound code

  • By resolution status: Filter to New to identify untriaged misconfigurations, or to In Progress to monitor active remediation

  • By Is Fixable: Filter to True to identify misconfigurations with available automated fix pull requests