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Tag-Based Access Policy Generator (ABAC)

Build an attribute-based access control statement using aws:ResourceTag / aws:PrincipalTag conditions.

Runs entirely in your browser — tag keys and values never leave this page.
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tag conditions
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About Tag-Based Access Policy Generator (ABAC)

Attribute-based access control (ABAC) is the pattern of granting access by matching tags rather than by enumerating specific resource ARNs, and it is one of the more genuinely powerful — and more fiddly to hand-write correctly — condition patterns IAM supports. Tag-Based Access Policy Generator (ABAC) is a form-driven builder for the condition keys that make it work: aws:ResourceTag/<key> for tags on the thing being accessed, and aws:PrincipalTag/<key> for tags on the identity making the request.

Each row you add picks a scope — Resource tag or Principal tag — a tag key (like Environment or Team), a comparison operator (StringEquals for an exact match, StringNotEquals to exclude a value, or StringLike for wildcard matching with * and ?), and the value to compare against. The tool assembles the full condition key by joining the scope prefix and your tag key — aws:ResourceTag/Environment, for instance — and hands that, along with the operator and value, to the same condition-entry merging logic used across every condition-based tool in this category. That shared logic is what correctly handles the two ways multiple tag rows can combine: two different tag keys under the same operator merge into a single operator block (all of which must match), while the same operator and tag key entered twice with different values merges into an array under that one key (meaning any of those values satisfies it) — exactly matching how AWS itself structures a multi-key or multi-value Condition block, rather than producing separate, conflicting operator objects.

The "Add tag condition" button lets you build up as many rows as the access rule needs — a common ABAC pattern combines a resource tag check with a principal tag check in the same statement, expressing "a principal may only touch resources whose Environment tag matches production, and whose Team tag matches the principal's own team" (the latter often written by pairing an aws:ResourceTag/Team condition's expected value with a policy variable like ${aws:PrincipalTag/Team} for a genuinely dynamic, self-referential match, though this tool's value fields accept whatever literal or variable string you type). Rows missing a key, operator, or value are simply skipped rather than corrupting the output with an incomplete condition entry.

The value of ABAC over a resource-by-resource policy is architectural: as new resources are created with the right tags, or as principals are tagged with the right team or project, they are automatically covered by an existing ABAC policy without anyone editing that policy again — a meaningful operational win for large, fast-growing environments where hand-listing ARNs in every policy statement does not scale. This tool does not verify that any resource or principal in your account actually carries the tags you are matching against; tagging the underlying resources and principals correctly is a separate, necessary step this tool does not perform.

Beyond the tag conditions, this is a standard Allow-statement builder: multi-line actions and resources, an optional Sid, and the structural validator used throughout this category confirming the assembled document is well-formed before the JSON is shown. Everything — every tag row, key, operator, and value — is assembled entirely in your browser.

Features

  • Resource tag vs. principal tag scope — builds the correct aws:ResourceTag/ or aws:PrincipalTag/ prefix.
  • Add multiple tag conditions with a dedicated "Add tag condition" button.
  • StringEquals / StringNotEquals / StringLike operators per row.
  • Correct merging of multiple tag keys under one operator, and multiple values under one key — matching AWS's real Condition structure.
  • Skips incomplete rows instead of producing malformed condition JSON.
  • Multi-line actions and resources.
  • Structural validation of the assembled statement and document.
  • Pretty-printed JSON output with Copy and Download .json.
  • Sample ABAC scenario pre-filled.
  • 100% client-side — tag keys and values never leave the page.

How to Use

  1. Add a tag condition row — it starts with one, pre-filled with defaults.
  2. Choose the scope (Resource tag or Principal tag), enter the tag key, pick an operator, and enter the value.
  3. Click "Add tag condition" to add more rows for additional tag checks.
  4. List the actions and resources the statement applies to.
  5. Optionally set a Sid.
  6. Click Build ABAC statement and check the structural validation result.
  7. Copy or download the JSON.

Examples

Example 1 — resource must be tagged production. One row: Resource tag, key Environment, StringEquals, value production — access only to resources tagged that way.

Example 2 — two independent tag requirements. Row 1: Resource tag Environment StringEquals production. Row 2: Resource tag Team StringEquals platform — both merge into one StringEquals block, both must match.

Example 3 — principal-tag-based team isolation. Row 1: Resource tag Team, StringEquals, value ${aws:PrincipalTag/Team} — a dynamic match where the resource's Team tag must equal whatever the calling principal's own Team tag is.

Example 4 — wildcard project matching. Row: Resource tag Project, StringLike, value proj-* — matches any resource whose Project tag starts with proj-.

Example 5 — excluding a specific environment. Row: Resource tag Environment, StringNotEquals, value production — matches every resource except those tagged production, useful for a broadly-scoped non-prod access statement.

Benefits

  • Builds the exact ResourceTag/PrincipalTag condition key syntax AWS requires.
  • Correctly merges multiple tag rows the way AWS structures Condition blocks, avoiding conflicting or overwritten operator objects.
  • Scales access with your tagging strategy instead of hand-listing ARNs.
  • Skips incomplete rows rather than producing broken JSON.
  • Structural validation before you attach the statement.
  • Private — tag keys and values never leave your browser.

Frequently Asked Questions

What is ABAC and how is it different from listing specific resource ARNs?
Attribute-Based Access Control (ABAC) grants access based on matching tags between the requester and the resource (or a fixed tag value), instead of enumerating specific resource ARNs in every policy. Instead of writing "this role can access <code>arn:aws:s3:::bucket-a</code> and <code>arn:aws:s3:::bucket-b</code>" and updating the policy every time a new bucket is added, an ABAC statement says "this role can access any resource tagged <code>Environment=production</code>" — new resources with that tag are automatically covered without touching the policy.
What is the difference between aws:ResourceTag and aws:PrincipalTag?
<code>aws:ResourceTag/&lt;key&gt;</code> checks a tag on the resource being acted upon — e.g., the S3 bucket or EC2 instance has a tag <code>Environment=production</code>. <code>aws:PrincipalTag/&lt;key&gt;</code> checks a tag on the IAM principal making the request — e.g., the calling role or user has a tag <code>Team=platform</code>. Combining both in one policy (often with a matching pattern like <code>${aws:PrincipalTag/Team}</code> as the expected value) is what enables the classic ABAC pattern of "a principal can only touch resources tagged with its own team."
Why offer StringEquals, StringNotEquals, and StringLike?
<code>StringEquals</code> requires an exact tag value match — the most common and safest choice. <code>StringNotEquals</code> inverts it, matching anything except the given value. <code>StringLike</code> allows wildcard matching with <code>*</code> and <code>?</code>, useful when tag values follow a naming convention, like matching every value starting with <code>proj-</code>.
Can I add more than one tag condition?
Yes — click "Add tag condition" to add another row with its own scope, key, operator, and value. Every complete row (all four fields filled) is included in the assembled condition; rows missing a key, value, or operator are skipped rather than producing malformed JSON.
What happens if I use the same operator with two different tag keys?
They merge into one operator block, exactly matching how AWS structures a <code>Condition</code> object — a single <code>StringEquals</code> key can hold multiple tag-key/value pairs at once, all of which must match for the condition to be satisfied. This tool builds that merge automatically via the shared condition-entry helper used across every condition-based tool in this category.
What if I use the same operator and the same tag key twice with different values?
The two values merge into an array under that single key, matching how AWS represents "any of these values" for one condition key — the underlying condition-entry helper handles this the same way it does for every other tool in this category that reuses it.
Does this validate that the tags actually exist on real resources or principals in my account?
No — this is a policy-JSON builder, not an AWS API client. It assembles the condition syntax correctly; whether a given resource or principal actually carries the tag you are matching against is something you configure separately, by tagging the resource or principal itself (and, for cross-account or SSO scenarios, ensuring tags propagate correctly).
Is anything I enter sent anywhere?
No — every tag row, key, and value is processed entirely in your browser.