| Internet-Draft | V-GAP | March 2026 |
| Krishnan, et al. | Expires 2 September 2026 | [Page] |
Modern cloud and distributed computing rely heavily on software-only identities and bearer tokens that are easily stolen, replayed, or used from unauthorized locations. Furthermore, traditional methods of location verification - such as IP-address-based geolocation - are easily spoofed via VPNs or proxies and significantly compromise infrastructure security and privacy for Sovereign Workloads and high-assurance environments. This document defines a High-Assurance Profile designed to solve these challenges through hardware-rooted cryptographic verifiability.¶
A host machine runs a workload identity agent for managing the workload identities on that platform. This proposal replaces implicit trust and spoofable indicators with cryptographically verifiable hardware-rooted evidence of integrity and location for this agent. Critically, this framework prioritizes Location Privacy by utilizing Zero-Knowledge Proofs (ZKP), allowing a workload to prove it is within a compliant "Sovereign Zone" without disclosing precise coordinates that could be used for tracking or exploitation.¶
By binding software identities to persistent silicon identities and verified physical residency, this solution establishes a "Silicon-to-Workload" chain of trust. It ensures that sensitive operations are only performed by authorized workloads running on untampered hardware in cryptographically verified, privacy-preserving geographic boundaries, fulfilling the high-assurance requirements of the WIMSE Architecture [[I-D.ietf-wimse-architecture]].¶
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The Workload Identity Agent (e.g., SPIRE Agent) acts as the local-on-host intermediary responsible for managing and issuing identities to workloads. It serves as a vetting mechanism, ensuring that a workload's execution environment meets required security and residency policies before granting it the cryptographic credentials necessary for network communication. This High-Assurance Profile (a specialized RATS Profile) provides the technical mechanics to cryptographically bind this agent to the underlying hardware-verified platform and its privacy-preserving physical location.¶
The architecture follows the RATS Architecture [[RFC9334]], defining the interactions between Provers, Verifiers, and Relying Parties to generate and validate high-confidence evidence regarding the Workload Identity Agent's status. It provides the hardware-rooted evidence layer required by the WIMSE Architecture [[I-D.ietf-wimse-architecture]], establishing a "Silicon-to-Workload" chain of trust that ensures sensitive data is only processed by authorized workloads in approved, measured environments.¶
To maintain location privacy while providing cryptographic verifiability, this profile leverages Transparent Zero-Knowledge Proofs (ZKPs). Unlike traditional ZKP systems, transparent ZKPs require no trusted third party or complex trusted setup phase. They achieve mathematical transparency through non-interactive, hash-based protocols, allowing a platform to prove it is resident within an approved geographic boundary without disclosing the exact coordinates of the underlying hardware.¶
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in BCP 14 [[RFC2119]] [[RFC8174]] when, and only when, they appear in all capitals, as shown here.¶
nonce field in the lah-bundle.¶
This profile supports attested data residency and geofencing for workloads and (optionally) users. Common use cases fall into: server-centric enforcement, user-centric enforcement, and compliance and risk reduction.¶
Enterprises need cryptographic proof that workloads run only on approved hosts within an approved geographic boundary, and that data flows only between approved boundaries.¶
Workload-to-workload (general): Relying parties accept workload identities only when the issuing host attests platform integrity and "in-zone" residency, preventing credentials from being used outside the approved boundary.¶
Agentic AI workloads: An AI agent may access sensitive data or perform sensitive actions only when its Workload Identity Agent presents hardware-rooted integrity evidence and a verifiable "in-zone" proof (optionally privacy-preserving), binding identity to both platform state and residency.¶
Federated / edge AI (key or model release): High-value artifacts (e.g., decryption keys or model weights in federated learning) are released only when the partner/edge host attests it is integral and resident within the required boundary. This is useful for intermittently connected sites.¶
User-to-server: Clients validate that the server endpoint is operating within an approved boundary (e.g., by policy tied to the server's attested identity and residency evidence).¶
Enterprises may also need trustworthy location signals for user-facing access decisions.¶
Geofenced access control: User access is permitted only when the user (or user device) proves it is within an allowed boundary, ideally without requiring precise location disclosure.¶
On-premises boundaries: Customer-premises equipment can define an enterprise boundary, with a network or enterprise infrastructure providing supporting evidence for policy enforcement.¶
Restricted support geographies: Administrative or support actions can be allowed only when the operator proves presence within allowed geographies, reducing policy and insider-risk exposure.¶
Geofence attestation provides audit-ready evidence to support data residency and sovereignty controls, and it can also reduce non-compliance risk from misconfiguration or spoofable signals. Even when not mandated, "in-zone" proofs help address: configuration drift, edge relocation/proxying, contractual residency requirements, and location-privacy minimization (proving "inside the zone" without storing coordinates).¶
Operators need to enforce where sensitive workloads run without relying on signals that are easy to spoof (IP geolocation, region labels) or credentials that are easy to steal (bearer tokens). In many systems today, platform integrity and residency are inferred from configuration and control-plane metadata rather than verified with cryptographic evidence.¶
Key gaps include:¶
This document defines a High-Assurance Profile (a specialized RATS profile) that makes platform integrity and geofence residency verifiable inputs to authorization and credential issuance, while supporting privacy-preserving “in-zone” proofs where available.¶
At a high level, the profile enables a relying party (or identity issuer) to require evidence that: 1. the Workload Identity Agent is running on an approved, measured platform; and 2. that platform is resident within an approved geographic boundary (optionally without revealing coordinates).¶
This profile is designed to compose with [[I-D.mw-wimse-transitive-attestation]] and the WIMSE Architecture [[I-D.ietf-wimse-architecture]].¶
This document (Layers 2 and 3): Defines how that Workload Identity Agent is itself verified:¶
| Layer | Document | Responsibility |
|---|---|---|
| Layer 1 | [[I-D.mw-wimse-transitive-attestation]] | Bind workload to a local Workload Identity Agent (co-location / PoR). |
| Layer 2 | This document | Verify Workload Host integrity for the Workload Identity Agent (platform evidence). |
| Layer 3 | This document | Verify Workload Host residency within an approved boundary (location evidence). |
This profile assumes two cooperating control planes:¶
To prevent mix-and-match and replay, attestation results SHOULD be fresh and SHOULD be bound to the identity issuance event (e.g., by cryptographically binding freshness values used for platform quotes and workload credential issuance within the verifier result).¶
Where policy requires it, the verifier can additionally require that an agent software measurement (e.g., image digest) is covered by validated platform evidence, reducing the risk that a modified or unauthorized agent obtains credentials.¶
In intermittently connected edge deployments, local operation can continue during outages, while centralized policy can be enforced on renewal and on release of high-value secrets once connectivity is available.¶
V-GAP is a RATS/WIMSE attestation profile that binds a Workload Identity Agent to (1) hardware-rooted host integrity and (2) verified residency within a configured geofence. It does this with an evidence bundle from a Location Anchor Host (LAH).¶
The lah-bundle is a hardware-sealed evidence structure embedded as an X.509 extension (OID 1.3.6.1.4.1.55744.1.1) in a SPIRE SVID. It binds a workload identity to physically verifiable claims — TPM hardware identity, privacy-preserving geolocation, and agent binary integrity — without exposing PII.¶
{
"lah-bundle": { },
"mno-endorsement": { },
"workload": { }
}
¶
| Field | Type | Required | Description |
|---|---|---|---|
tpm-ak
|
string (Base64URL) | Yes | TPM Attestation Key public key (PEM-encoded). Hardware identity anchor. The TPM enforces that only this key can produce tpm-quote-seal — proving co-residency. |
geolocation-id-hash
|
string (Base64URL) | Yes |
SHA-256(tpm-ak-bytes). Binds TPM identity to sensor identity - assumption is sensor integrity is handled by OOB host management plane |
geolocation-proof-hash
|
string (Base64URL) | Yes | SHA-256 commitment over geolocation-payload. Required in both privacy modes. When privacy-technique=zkp: SHA-256(zkp-proof-bytes). When privacy-technique=none: SHA-256(JCS({lat, lon, accuracy})). |
privacy-technique
|
string enum | Yes |
"none" = raw lat/lon/accuracy in payload. "zkp" = zero-knowledge proof URI in payload. Controls location privacy only; device identity privacy is always protected via geolocation-id-hash. |
geolocation-payload
|
object | Yes | Inner location data. Structure depends on privacy-technique (see Payload Variants below). Committed to by geolocation-proof-hash and optionally signed by mno-endorsement.mno-sig. |
nonce
|
string (Base64URL) | Yes | N_fusion freshness nonce issued by the Workload Identity Management Plane. Chained: HMAC(secret, n \|\| chain[n-1]). Detects skipped/reordered attestations. |
timestamp
|
integer (int64) | Yes | Unix epoch seconds. Set by the LAH agent at bundle construction time. |
tpm-quote-seal
|
string (Base64URL) | Yes |
TPM2_Quote produced by the AK in tpm-ak. Qualifying data = SHA-256(JCS({tpm-ak, geolocation-id-hash, geolocation-proof-hash, privacy-technique, nonce, timestamp, workload-identity-agent-image-digest})). Binds all fields into a single hardware-sealed statement. |
workload-identity-agent-image-digest
|
string (hex SHA-256) | Yes | SHA-256 digest of the Workload Identity Agent (SPIRE agent) binary, measured at attestation time by the Host Identity Manager (Keylime). Detects agent binary compromise on every renewal cycle. |
When privacy-technique = "none" (raw coordinates):¶
| Field | Type | Required | Description |
|---|---|---|---|
lat
|
number (float64) | Yes | Latitude, WGS-84 decimal degrees |
lon
|
number (float64) | Yes | Longitude, WGS-84 decimal degrees |
accuracy
|
number (float64) | Yes | Accuracy radius in meters |
geolocation-proof-hash = Base64URL(SHA-256(JCS({lat, lon, accuracy})))¶
When privacy-technique = "zkp" (zero-knowledge proof):¶
| Field | Type | Required | Description |
|---|---|---|---|
zkp-proof-uri
|
string (URI) | Yes | URI to fetch full ZKP proof bytes from the proof depository. Verifier fetches bytes, computes SHA-256(bytes), checks against geolocation-proof-hash. |
zkp-format
|
string enum | Yes | ZKP proof system. Currently: "plonky2". |
geolocation-proof-hash = Base64URL(SHA-256(zkp-proof-bytes))¶
| Field | Type | Required | Description |
|---|---|---|---|
mno-key-cert
|
string (Base64URL DER) | Yes | MNO signing certificate. Verifiers SHOULD validate this certificate chains to a known MNO root before accepting the endorsement. |
mno-sig
|
string (Base64URL) | Yes | ECDSA/EdDSA signature over JCS(geolocation-payload) only. The MNO attests location within carrier visibility — does not sign host fields (tpm-ak, nonce, tpm-quote-seal). |
| Field | Type | Required | Description |
|---|---|---|---|
workload-id
|
string (SPIFFE ID) | Yes | The workload's SPIFFE identity URI (e.g., spiffe://example.org/python-app). |
key-source
|
string | Yes | Origin of the workload's key material (e.g., "tpm-app-key"). The value is implementer-defined; verifiers SHOULD treat unrecognized values as opaque strings unless policy requires specific values. |
| Sensor Type | geolocation-id-hash Input |
|---|---|
| Mobile (CAMARA) |
SHA-256(tpm-ak-bytes \|\| IMEI-bytes \|\| IMSI-bytes)
|
| GNSS receiver |
SHA-256(tpm-ak-bytes \|\| sensor-serial-bytes \|\| sensor-class-id-bytes)
|
The verifier sees only the opaque hash — never the raw identifiers.¶
tpm-quote-seal (Base64URL → bytes)¶
TPMS_ATTEST structure¶
TPMS_ATTEST.type == TPM_ST_ATTEST_QUOTE¶
expected_qd = SHA-256(JCS({tpm-ak, geolocation-id-hash, geolocation-proof-hash, privacy-technique, nonce, timestamp, workload-identity-agent-image-digest}))¶
TPMS_ATTEST.qualifyingData == expected_qd¶
TPMS_ATTEST bytes using tpm-ak public key (RSASSA-PKCS1-v1_5 or ECDSA)¶
{
"lah-bundle": {
"tpm-ak": "-----BEGIN PUBLIC KEY-----\nMIIBIjANBgkqhkiG...\n-----END PUBLIC KEY-----",
"geolocation-id-hash": "7f4a2c1b9e3d8f0a6b5c4d2e1f0a9b8c...",
"geolocation-proof-hash": "c8bc2ed62a7a650d99e0884197cdf345...",
"privacy-technique": "zkp",
"geolocation-payload": {
"zkp-proof-uri": "https://verifier.example/v1/proof/c8bc2ed6...",
"zkp-format": "plonky2"
},
"nonce": "ZmUyZjdmMzlmZGVlZWQxOTM1YjY0Mjk0...",
"timestamp": 1740693456,
"tpm-quote-seal": "ARoAAQALAAUACwEA...",
"workload-identity-agent-image-digest": "a1b2c3d4e5f6...64-char-hex-sha256"
},
"mno-endorsement": {
"mno-key-cert": "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8A...",
"mno-sig": "MEYCIQDx9z2k..."
},
"workload": {
"workload-id": "spiffe://example.org/python-app",
"key-source": "tpm-app-key"
}
}
¶
Where bundle[n] denotes the JCS-canonicalized lah-bundle object at attestation interval n:¶
chain[n] = SHA-256(chain[n-1] || SHA-256(JCS(bundle[n]))) nonce[n] = HMAC(secret, n || chain[n-1])¶
| Mechanism | Role |
|---|---|
| Chained nonce | Input control — agent cannot submit without responding to the management plane's current state. |
| Merkle chain | Audit output — proves inclusion of past bundles, detects gaps, and enables regulatory audit. |
Large deployments need lifecycle management for the attestation keys referenced by V-GAP (for example, tpm-ak) and for the policies that authorize them.¶
To prevent rogue key injection during rotation:¶
{
"new-ak-pub": "Base64URL_Encoded_Public_Key",
"serial-number": "AK_Serial_XYZ",
"timestamp": 1708845600,
"hardware-uuid": "Host_Hardware_UUID",
"signature": "Base64URL_Signature_from_Previous_AK"
}
¶
Credential activation (e.g., TPM2_MakeCredential) is expensive to run on every request. Verifiers SHOULD perform it on events such as:¶
Between full activations, verifiers MAY accept fresh quotes from registered AKs as proof of continued compliance, subject to policy.¶
For intermittent connectivity, the verifier MAY issue identities with extended validity (a lease) under policy. If a lease is used:¶
Implementations commonly fall into the following patterns, differing in how platform integrity evidence and the tpm-quote-seal are collected:¶
In-band host attestation: Evidence collected by host software (for example, Keylime-style deployments). In this pattern, the Workload Identity Management Plane (for example, SPIRE Server) generates N_fusion and shares it with the Host Identity Management Plane (for example, the Keylime Verifier) over a server-to-server channel. The Keylime Verifier then delivers N_fusion to the Keylime Agent running on the host, which collects TPM and geolocation evidence, assembles the lah-bundle, and returns it via the host-side channel. This pattern is well-suited to commodity servers and cloud VMs where a BMC path is not available or not required.¶
Out-of-band management: Evidence collected via a management controller / BMC path (for example, iLO-class OOB management such as HPE OneView). In this pattern, the Workload Identity Management Plane (for example, SPIRE Server) generates N_fusion and shares it with the Host Identity Management Plane (for example, HPE OneView) over a server-to-server channel. The Host Identity Management Plane then delivers N_fusion to the host via the BMC / OOB path — bypassing the host OS entirely. The host TPM seals the lah-bundle with that nonce, and the sealed bundle is returned via the same OOB path. This pattern is recommended for high-assurance environments where the host OS is part of the threat model.¶
Cloud-hosted attestation environments: Provider mechanisms exposing measured boot and TPM-backed claims (for example, Nitro-class enclaves or shielded VM instances). The cloud provider supplies a hardware-rooted quote that can serve as the tpm-quote-seal; the geolocation claim is typically derived from the provider's zone or region attestation. Implementations SHOULD verify that the provider's attestation scope satisfies the geofence policy.¶
To support edge deployments and intermittent connectivity, identity issuance may be distributed within a sovereign boundary.¶
When a workload moves between anchors or boundaries, the Workload Identity Agent MUST obtain a new V-GAP bundle that reflects the new LAH and current residency.¶
Verifiers SHOULD treat this as a normal re-attestation event: - platform integrity continuity can remain stable, but - residency checks MUST be re-evaluated for the new anchor/boundary.¶
To scale location sensing, a deployment may use dedicated anchors:¶
Relying parties and identity issuers can use V-GAP results as inputs to authorization.¶
V-GAP reduces reliance on spoofable location signals and stolen tokens by making integrity and residency cryptographically verifiable. Implementers still need to address the following threats:¶
IANA is requested to register the following Object Identifier (OID) in the "SMI Numbers" registry under the "SMI Private Enterprise Numbers" (1.3.6.1.4.1) branch, or as appropriate for the V-GAP profile.¶
Mandatory Criticality: Implementations of this profile MUST mark the X.509 extension containing the V-GAP Evidence Bundle as CRITICAL. This ensures that non-compliant gateways fail closed rather than granting access to residency-constrained workloads.¶
The following items are unresolved and are tracked for future revisions of this document.¶
Define an interoperable way to detect and handle Workload Identity Agent restarts without requiring a full host reboot, while preserving measurement integrity.¶
Clarify the complete set of supported privacy techniques and define the policy logic for selecting between precise location disclosure, coarse location, and ZKP-based "in-zone" proofs.¶
This document defers proximity proof mechanisms to future profiling work. Open items include:¶
There is no widely deployed standard for geotagging arbitrary textual data objects.¶
India -- Reserve Bank of India (RBI): Payment System Data Localization (2018): From RBI Circular RBI/2017-18/153 (April 6, 2018): "All system providers shall ensure that the entire data relating to payment systems operated by them are stored in a system only in India. This data should include the full end-to-end transaction details / information collected / carried / processed as part of the message / payment instruction."¶
South Korea's Data Localization Regulations -- Geospatial Information Management Act (Spatial Data Act): Article 16, Paragraph 1: Prohibits the export of state-led survey data.¶