PCI DSS 4.0 agent permission and delegated access architecture for enterprise LLM deployment — Reference Architecture
The control that resolves this is an Intersecting Delegated Authority, evaluated before the request reaches a model provider rather than audited afterwards. In regulated enterprise the binding constraint is PCI DSS 4.0, and the question it actually asks is is cardholder data in scope, and can you prove it is not. The shape below holds p95 ≤ 600ms over REST over HTTPS, and ships with a standard-library implementation that runs as written.
The blueprint
Intersecting Delegated Authority — the request path, with the decision points that must exist before the first model call:
flowchart LR
USER[Invoking user<br/>entitlements] --> INT{Intersect}
GRANT[Agent grant<br/>time-boxed] --> INT
INT --> EFF[Effective permissions]
EFF --> ACT{Action in effective set?}
ACT -->|no| DENY[Deny + audit reason]
ACT -->|yes| DO[Execute as the user, not the agent]
EFF --> HOP[Delegate to agent B] --> INT2{Intersect again} --> EFF2[Narrower still]The parts you have to build
- Principal entitlements — What the human may do, from the system of record.
- Agent grant — What the agent may ever do, scoped per task.
- Intersection at call time — Effective = user ∩ grant, computed per request.
- Time-boxed grants — Expiry enforced, so delegation is not standing authority.
- Chain intersection — Agent-to-agent delegation intersects again; a hop cannot widen.
- Denial audit — Every denial recorded with the reason — the escalation signal.
Enterprise implementation parameters
Every value below is a parameter you can hold a vendor or an internal team to. Adjectives are not acceptance criteria.
| Deployment vector | Customer-managed VPC, provider model endpoint pinned to region |
|---|---|
| Security standard | PCI DSS 4.0 |
| Applicable regimes | SOC 2 Type II, ISO/IEC 27001:2022, GDPR |
| Latency SLA | p95 ≤ 600ms — interactive surfaces need sub-second; batch jobs do not |
| Integration protocol | REST over HTTPS — the widest compatibility and the easiest audit story |
| Idempotency control | an Idempotency-Key header, honoured for 24h |
| Throughput envelope | ~2k rps per gateway node before connection churn dominates |
| Middleware requirement | policy decision point in front of the model gateway |
| Data classes in scope | PII, commercial-in-confidence data |
| Retention obligation | per the data class retention schedule, enforced automatically |
| Data residency | contracted processing region, asserted on every response |
| Contractual instrument | DPA plus a disclosed subprocessor list |
| Systems of record | SAP, Salesforce, Workday |
| Primary failure mode | a retried POST creating a duplicate record |
The architecture friction point
The agent is given a service account so it can complete its work, and it now acts with more authority than any human who invokes it. An intern's request and an administrator's request reach the same powerful identity.
What PCI DSS 4.0 specifically requires
PCI scope is contagious: any system that stores, processes or transmits cardholder data — or can affect the security of one that does — is in scope. The cheapest control is to keep the model tier out of scope entirely.
The artifact that satisfies it is a segmentation test proving the model tier is out of scope. The way teams most often fail it: a PAN reaching a prompt log, dragging the whole inference tier into PCI scope.
Reference implementation — Delegated authority as an intersection, with expiry
Standard-library Python, no external dependencies, runs as written. Executed by the publish gate: if it raises, this page does not ship. Wire it behind REST over HTTPS; the failure mode it guards against is a retried POST creating a duplicate record. The output you hand the assessor is the segmentation test report.
"""Delegated authority: an agent never exceeds the user it acts for.
The failure: an agent is given a service account so it can "do its job", and it
then acts with more authority than any user who invokes it. Correct delegation
is an intersection — the agent may do only what BOTH its own grant and the
invoking user permit — and it must be time-boxed, because a standing delegation
is a standing privilege.
"""
from dataclasses import dataclass
@dataclass(frozen=True)
class Grant:
subject: str
permissions: frozenset
expires_at: int
def valid(self, now: int) -> bool:
return now < self.expires_at
class DelegationError(PermissionError):
pass
class DelegatedAuthority:
"""Effective permissions = user ∩ agent grant, never a union, and never
the agent's own service identity."""
def __init__(self):
self.users: dict[str, frozenset] = {}
self.grants: dict[str, Grant] = {}
self.audit: list[dict] = []
def define_user(self, user: str, permissions: set) -> None:
self.users[user] = frozenset(permissions)
def delegate(self, agent: str, permissions: set, expires_at: int) -> Grant:
g = Grant(agent, frozenset(permissions), expires_at)
self.grants[agent] = g
return g
def effective(self, agent: str, user: str, now: int) -> frozenset:
g = self.grants.get(agent)
if g is None:
raise DelegationError(f"no grant for agent {agent!r}")
if not g.valid(now):
raise DelegationError(f"grant for {agent!r} expired")
if user not in self.users:
raise DelegationError(f"unknown principal {user!r}")
return g.permissions & self.users[user]
def authorise(self, agent: str, user: str, action: str, now: int) -> bool:
try:
allowed = self.effective(agent, user, now)
except DelegationError as exc:
self.audit.append({"agent": agent, "user": user, "action": action,
"allowed": False, "reason": str(exc)})
return False
ok = action in allowed
self.audit.append({"agent": agent, "user": user, "action": action,
"allowed": ok,
"reason": "" if ok else "outside the intersection"})
return ok
def chain(self, agent_a: str, agent_b: str, user: str, now: int) -> frozenset:
"""A delegating to B cannot widen authority — chaining intersects
again, which is what stops escalation through a hop."""
return self.effective(agent_a, user, now) & self.grants[agent_b].permissions
if __name__ == "__main__":
da = DelegatedAuthority()
da.define_user("analyst", {"read_reports", "read_pii"})
da.define_user("intern", {"read_reports"})
da.delegate("summariser", {"read_reports", "read_pii", "delete_records"},
expires_at=100)
assert da.authorise("summariser", "analyst", "read_pii", now=1) is True
# The intern cannot read PII, so neither can an agent acting for them.
assert da.authorise("summariser", "intern", "read_pii", now=1) is False
# Nobody granted delete to a user, so the agent's own grant cannot supply it.
assert da.authorise("summariser", "analyst", "delete_records", now=1) is False
eff = da.effective("summariser", "intern", now=1)
assert eff == frozenset({"read_reports"}), eff
# Expiry is enforced, not advisory.
assert da.authorise("summariser", "analyst", "read_reports", now=101) is False
assert "expired" in da.audit[-1]["reason"]
# Chaining must not widen authority.
da.delegate("exporter", {"read_reports", "export"}, expires_at=100)
chained = da.chain("summariser", "exporter", "analyst", now=1)
assert chained == frozenset({"read_reports"}), chained
assert "export" not in chained, "chaining widened authority"
assert da.authorise("unknown_agent", "analyst", "read_reports", now=1) is False
print("Delegated authority intersection: OK")
print(f" audit entries {len(da.audit)}, "
f"denials {sum(1 for a in da.audit if not a['allowed'])}")
The PCI DSS 4.0 control, as code
PAN tokenisation and a scope-reduction proof. This is the artifact an assessor asks for under PCI DSS 4.0 specifically — it is not the same control as the one above, and a system that implements one does not thereby implement the other. It executes under the same publish gate.
"""PAN detection with tokenisation, and a scope-reduction proof.
PCI DSS 4.0 scope is everything that stores, processes or transmits account
data, plus anything connected to it. The cheapest compliance move is not better
controls — it is removing systems from scope. A model gateway that never sees a
PAN is out of scope; one that sees it once is in, along with everything it talks
to.
"""
import hashlib
import re
PAN_RE = re.compile(r"\b(?:\d[ -]?){12,18}\d\b")
def luhn_valid(digits: str) -> bool:
total, parity = 0, len(digits) % 2
for i, ch in enumerate(digits):
d = int(ch)
if i % 2 == parity:
d *= 2
if d > 9:
d -= 9
total += d
return total % 10 == 0
class TokenVault:
"""Format-preserving surrogate. The vault is in scope; nothing it feeds is,
provided the surrogate is not reversible outside it."""
def __init__(self, pepper: str):
self._pepper = pepper
self._map: dict[str, str] = {}
def tokenise(self, pan: str) -> str:
digest = hashlib.sha256(f"{self._pepper}:{pan}".encode()).hexdigest()
surrogate = "4" + str(int(digest[:15], 16)).zfill(15)[:15]
self._map[surrogate] = pan
return surrogate
def last_four(self, pan: str) -> str:
return pan[-4:]
class ScopeBoundary:
def __init__(self):
self.systems: dict[str, bool] = {}
self.flows: list[tuple[str, str]] = []
def add(self, system: str, sees_pan: bool) -> None:
self.systems[system] = sees_pan
def flow(self, src: str, dst: str) -> None:
self.flows.append((src, dst))
def in_scope(self) -> set[str]:
scope = {s for s, sees in self.systems.items() if sees}
changed = True
while changed: # connected-to is also in scope
changed = False
for src, dst in self.flows:
if src in scope and dst not in scope:
scope.add(dst); changed = True
elif dst in scope and src not in scope:
scope.add(src); changed = True
return scope
def redact(text: str, vault: TokenVault) -> tuple[str, int]:
found = 0
def _sub(m):
nonlocal found
raw = re.sub(r"[ -]", "", m.group(0))
if not luhn_valid(raw):
return m.group(0)
found += 1
return f"tok_{vault.tokenise(raw)}(last4={vault.last_four(raw)})"
return PAN_RE.sub(_sub, text), found
if __name__ == "__main__":
vault = TokenVault(pepper="hsm-managed")
text = "Charge card 4111 1111 1111 1111 for invoice 9912, ref 1234567890123456"
out, n = redact(text, vault)
assert n >= 1 and "4111 1111 1111 1111" not in out, out
assert "last4=1111" in out, out
# A number that fails Luhn is not a PAN and must not be mangled.
benign, n2 = redact("order 1234 5678 9012 3450 placed", vault)
assert n2 == 0 and "1234 5678 9012 3450" in benign, benign
sb = ScopeBoundary()
sb.add("checkout", True); sb.add("token_vault", True)
sb.add("llm_gateway", False); sb.add("analytics", False)
sb.flow("checkout", "token_vault"); sb.flow("token_vault", "llm_gateway")
scope = sb.in_scope()
assert "llm_gateway" in scope, "connected-to is in scope — that is the point"
clean = ScopeBoundary()
clean.add("checkout", True); clean.add("token_vault", True)
clean.add("llm_gateway", False)
clean.flow("checkout", "token_vault")
assert "llm_gateway" not in clean.in_scope(), clean.in_scope()
print("PCI DSS 4.0 tokenisation + scope reduction: OK")
print(f" PANs tokenised {n}, naive scope {len(scope)} systems, "
f"segmented scope {len(clean.in_scope())} systems")
Risk register with acceptance criteria
Each row carries an acceptance parameter rather than an adjective, because "low latency" cannot be signed off. Retention here is bound by per the data class retention schedule, enforced automatically.
| Category | Risk | Control | Acceptance parameter |
|---|---|---|---|
| PCI DSS 4.0 | A PAN in a prompt pulls the inference tier into PCI scope | Tokenise before the model boundary and prove segmentation with a penetration test at least annually | Segmentation test passes; 0 PANs detected in prompt or completion stores by continuous scanning |
| Data privacy | An agent reads data the invoking user may not see | Effective permissions are the intersection, computed per request | 0 actions outside the intersection; denials audited with reason |
| Operational | A service account gives the agent standing authority | Grants are time-boxed and expiry is enforced at authorisation | Expired grant authorises nothing; tested |
| Data privacy | Agent-to-agent hops widen authority | Chaining intersects again, so a hop can only narrow | Chained permissions are a subset of the first agent's effective set |
| Operational | An unknown agent or principal defaults to permitted | Unknown subject raises and is denied; fail closed | Unknown agent or user denied in tests |
| Operational | Escalation attempts are invisible | Every denial recorded with agent, user, action and reason | Denial rate monitored; repeated denials trigger review |
| Cost control | Entitlement lookups on every request add load | Entitlements cached with a short TTL bounded by the revocation SLO | Cache TTL <= revocation SLO; stale-grant window documented |
| Latency SLA | Authorisation adds a blocking round trip | Intersection computed in-process against cached entitlements | Added latency within the agreed budget, measured |
Questions to answer before approval
- Is the inference tier in PCI scope, and what segmentation test proves it is not?
Cardholder data is tokenised before the model boundary and the segmentation is evidenced by an annual penetration test, so the tier stays out of scope by design. - If an intern invokes the agent, can it read data only an analyst may see?
No. Effective permissions are the intersection of the agent's grant and the intern's entitlements, so anything the intern lacks is unavailable regardless of the agent's own grant. - What authority does the agent have when nobody has invoked it?
None that matters. The grant is time-boxed and only becomes effective when intersected with an invoking principal, so there is no standing authority to borrow. - Can agent A delegate to agent B and end up with more permissions than A had?
No. Chaining intersects again, so each hop can only narrow the set. Widening through a hop is the escalation path this design exists to close. - How quickly does a revoked entitlement take effect for an in-flight agent?
Within the entitlement cache TTL, which is bounded by the revocation SLO. The stale-grant window is documented rather than assumed to be zero. - What is recorded when an agent attempts something outside its effective set?
The agent, the invoking user, the attempted action and the reason for denial. Repeated denials are the signal that something is probing for authority it does not have.
Related architectures
- Part of enterprise ai compliance architecture.
- The same control appears in PCI DSS 4.0 vendor evaluation criteria for enterprise AI implementation.
- PCI DSS 4.0 reference architecture for enterprise LLM deployment at scale applies the same mechanism under a different obligation.
- The same control appears in PCI DSS 4.0 model release gate and golden set evaluation for enterprise AI.
- PCI DSS 4.0 provider failover and degradation architecture for enterprise applies the same mechanism under a different obligation.
- If this is the blocker in front of you: enterprise AI infrastructure review.
Enterprise infrastructure review
If you are carrying this blocker, the useful next step is not a demo. It is a review of your actual request path against the control points above:
- Which of the 6 components exist in your estate today, and which are assumed
- Your current numbers against the 7 acceptance parameters, starting with p95 ≤ 600ms
- Which PCI DSS 4.0 control questions you cannot yet answer, and what closes each gap