Agent StoreInformation TechnologyCloud Identity Policy Management
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Cloud IAM Policy Audit Agent

Information TechnologyCloud Identity Policy Management

Continuously audits cloud IAM roles and policies for overly permissive access, unused permissions, and public exposure risk, recommending least-privilege corrections.

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Process steps
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Integrations
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Data inputs

Cloud IAM policies tend to accumulate excess permissions over time as engineers grant broad access to unblock a task quickly and nobody circles back to tighten it afterward, leaving a sprawling attack surface of over-privileged roles across cloud accounts

Manually auditing IAM policies across hundreds of roles and thousands of permission grants to identify unused or excessive access is extremely time-consuming and typically only happens during an annual security review or after an incident

Publicly exposed storage buckets or overly permissive resource policies created by misconfiguration are a leading cause of cloud data breaches, and these misconfigurations often sit undetected because nobody is continuously scanning for them

This agent continuously audits IAM roles and resource policies across cloud accounts, identifies unused permissions and public exposure risk using actual access log data, and recommends specific least-privilege policy corrections

The agent pulls IAM role, policy, and resource configuration data from cloud provider APIs and cross-references granted permissions against actual usage recorded in cloud access logs over a rolling analysis window. It identifies permissions granted but never used, roles with excessive wildcard or admin-level access, and resource policies that expose data publicly or overly broadly, then generates specific least-privilege policy revisions with the exact permissions to remove. High-confidence, low-risk revisions can be applied automatically, while broader access changes are routed for owner review with usage evidence attached.

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Collect IAM and Access Data

  • Pull IAM role, policy, and resource configuration from cloud provider APIs
  • Ingest access logs recording actual permission usage over time
  • Map roles and policies to owning teams and applications
  • Identify resource policies with public or cross-account exposure
Outcome: A complete dataset of granted permissions cross-referenced against actual usage.
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Identify Excess Permissions and Exposure

  • Flag permissions granted but never used within the analysis window
  • Identify roles with wildcard or overly broad admin-level access
  • Detect publicly exposed storage buckets and overly permissive resource policies
  • Rank findings by risk severity and blast radius
Outcome: A ranked list of specific over-permission and exposure risks across cloud accounts.
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Recommend Least-Privilege Corrections

  • Generate specific policy revisions removing unused permissions
  • Recommend scoped replacements for overly broad wildcard grants
  • Flag public exposure findings for immediate remediation
  • Provide usage evidence supporting each recommendation
Outcome: Teams receive precise, evidence-backed policy corrections instead of generic best-practice advice.
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Apply and Track Remediation

  • Auto-apply high-confidence, low-risk policy corrections
  • Route broader access changes to resource owners for approval
  • Track remediation completion and residual risk over time
  • Report on least-privilege posture improvement across accounts
Outcome: Cloud IAM posture measurably improves over time with a documented remediation trail.
AWS IAM Access Analyzer
Identifies unused permissions and external access paths
AWS CloudTrail
Supplies access log data for permission usage analysis
GCP IAM Recommender
Pulls policy and usage data for GCP projects
Terraform
Applies approved policy corrections as infrastructure code
Slack
Routes findings and approval requests to resource owners
Security Hub
Logs findings and remediation actions for compliance tracking