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Governance intelligence for access, cloud, and SaaS. Now in early access

Nuxari
Use Case

Cloud Permission Reviews

Review cloud roles and permissions across subscriptions, projects, and accounts. Identify excessive privilege, inherited access, and public exposure, with findings routed to controlled remediation.

Why it matters

Cloud permissions grow faster than the governance processes that should constrain them.

Service accounts accumulate roles through project iterations and never get cleaned up. Inherited permission policies grant more than anyone intended. Storage resources become publicly accessible through misconfiguration. Manual changes to IAM policies bypass change control. Most organizations discover these gaps through security incidents or external audits, not through continuous governance review.

  • Overprivileged service accounts are a common initial access vector in cloud incidents
  • Inherited permissions from organization-level policies often exceed what individual projects need
  • Public resource exposure, storage buckets, database endpoints, can occur through a single misconfigured setting
  • Cloud IAM changes outside of change control leave no approved-change record
How Nuxari helps

The governed approach

Permission Inventory

Nuxari cloud connectors pull IAM role assignments, policy bindings, service account permissions, and resource configurations from AWS, Azure, and GCP on a continuous schedule.

Excessive Privilege Detection

Compare observed permissions against approved baselines. Users or service accounts with more access than their role requires are flagged as findings with severity classification.

Misconfiguration Findings

Identify misconfigured resources, publicly accessible storage, open egress rules, unrestricted inbound policies, and surface them as findings with the specific resource, account, and configuration detail.

Inherited Access Review

Identify where permissions are inherited from parent scopes, subscription, organization, or folder level, and review whether the inheritance is still appropriate.

Remediation Planning

Findings route to remediation workflows. Each remediation step, role downgrade, policy correction, resource restriction, requires approval before it executes.

Evidence of Review

The review cycle, findings, approvals, remediations, validations, produces a structured evidence bundle that documents what was reviewed, what was found, and what was done about it.

Cloud Access

IAM roles accumulate faster than they are reviewed. Nuxari reviews them continuously and routes remediation through approval.

Cloud Permission Reviews
Cloud infrastructure engineer reviewing IAM role assignments and permission policies across cloud environments
Workflow

How the lifecycle runs

  1. 01
    Cloud connectors collect current IAM state
    AWS, Azure, and GCP connectors pull role assignments, policy bindings, service account configurations, and resource settings from every connected account and subscription.
  2. 02
    Observed state is compared to approved baseline
    Each observed permission is compared against the approved access baseline. Permissions that exceed the approved scope become findings.
  3. 03
    Resource misconfigurations are detected
    Control packs evaluate resource configurations, storage access policies, network egress rules, service account scopes, and flag any that do not meet the defined control objectives.
  4. 04
    Findings are classified by severity
    Each finding is classified as Critical, High, Medium, or Low based on the nature of the excess, the sensitivity of the resource, and the blast radius of a potential exploit.
  5. 05
    Remediation workflows are submitted and approved
    Operators submit remediation workflows for each finding. Each workflow specifies the action, scope, and approver. No action runs without completed authorization.
  6. 06
    Remediation executes and is validated
    Approved actions execute through connected APIs. Nuxari re-queries the resource to confirm the configuration matches the expected post-remediation state.
  7. 07
    Review evidence bundle is assembled
    The full review cycle, inventory, findings, approvals, execution, validation, is assembled into a signed evidence bundle for the audit record.
Example scenario

AWS IAM review surfaces overprivileged service accounts

An AWS connector review surfaces three service accounts with permissions that exceed their defined scope. One S3 bucket has public read access that was not part of the approved configuration.

Illustrative example. Not real customer data.

Demo · Illustrative only
  1. 01AWS connector: 3 service accounts found with AdministratorAccess, baseline is PowerUserAccess
  2. 02Finding NX-5002: s3://prod-assets public read enabled, Critical severity
  3. 03Finding NX-5003: svc-deploy has ec2:* on all resources, High severity
  4. 04Finding NX-5004: svc-backup has iam:*, High severity
  5. 05Remediation workflows submitted: bucket ACL correction, policy scope reduction ×2
  6. 06Cloud Security Lead approves all three workflows
  7. 07S3 bucket ACL corrected; svc-deploy and svc-backup policies updated
  8. 08Validation: three re-observations confirm findings resolved
Audit trail

Evidence produced

  • Cloud IAM inventory snapshot with observed permissions per account
  • Permission baseline used for comparison
  • Finding per resource: type, severity, account, and detection timestamp
  • Remediation workflow document with scope and approval chain
  • Per-finding approval record with authorizer identity
  • Execution log with API confirmation per resource
  • Validation result: re-observed permission confirming remediation
  • Evidence bundle covering the full review cycle
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