☁️ QWED-Infra
Deterministic Verification for Infrastructure as Code (IaC)
"Don't let AI hallucinate your cloud bill to $20,000."
🚨 The Problem
AI agents like Devin, GitHub Copilot Workspace, and Cursor are writing Terraform and Kubernetes configs. But AI doesn't understand consequences.
| Case | What AI Wrote | Real World Impact |
|---|---|---|
| IAM Permission | Action: "s3:*", Resource: "*" |
Data Breach: Entire bucket exposed to public. |
| Network Rule | Ingress: 0.0.0.0/0, Port: 22 |
Ransomware: SSH open to the whole internet. |
| Instance Type | instance_type = "p4d.24xlarge" |
Bankrupt: $23,000/month bill for a dev env. |
💡 What QWED-Infra Is (and Isn't)
✅ QWED-Infra IS:
- A Deterministic Verification Engine: Uses Z3 Theorem Prover to prove IAM action/resource matching, with IP and date conditions evaluated deterministically in Python.
- A Graph Analyzer: Uses NetworkX to map and verify network reachability (Reachability Analysis).
- An Artifact Boundary Gate: Scans release packages for secrets, debug artifacts, and misconfigured build paths — blocks unsafe releases before they ship.
- Deterministic: Inputs are code, output is
True/Falsewith 100% certainty. - A "Guard" Layer: Plugs into CI/CD to block AI-generated PRs that violate rules.
❌ QWED-Infra is NOT:
- A Linter: We don't just check syntax (like TFLint). We check logic.
- A Cost Explorer: We predict costs before deployment, not after you get the bill.
- Black Box AI: We don't use LLMs to verify LLMs. We use Math.
🆚 How We're Different
| Feature | TFLint / Checkov / TFSec | QWED-Infra |
|---|---|---|
| Approach | Regex / Static Pattern Matching | Symbolic Execution (Z3) & Graph Theory |
| IAM Logic | Can catch s3:* text match |
Proves Allow overrides Deny logically |
| Network | Checks generic "port 22 open" | Traces Internet -> IGW -> Route -> SG -> Subnet (fail-closed on NAT/NACL/peering) |
| Cost | N/A (usually distinct tools) | Deterministic Pre-Deployment Estimation |
| Accuracy | High False Positives | Deterministic Correctness |
🛡️ The Four Guards
1. IamGuard (The Security Math)
Converts AWS IAM Policies into logical formulas.
- Wildcards: Handles
s3:Get*vss3:GetObject— proved symbolically in Z3. - Logic: Proves
Denystatements always win — proved symbolically in Z3. - Context: Verifies against specific conditions (e.g.,
aws:SourceIp,aws:CurrentTime) — evaluated deterministically in Python, with full trace in diagnostic output.
2. NetworkGuard (The Topology Graph)
Builds a directed graph of your VPC.
- Reachability: "Can an attacker on the Internet reach my Database?"
- Path Analysis: Traces routes through Subnets and Security Groups.
- Limitations (fail-closed): NAT Gateways, VPC Peering, NACLs, and Transit Gateway are not modeled. If any are present, the guard returns
UNVERIFIABLE— the result carries no proof and must not be used for authorization decisions.
3. CostGuard (The Budget Enforcer)
Prevents financial ruin.
- Static Catalog: Embedded prices for standard AWS resources.
- Budget Checks:
if estimated_cost > $500: Block Deployment.
4. ArtifactBoundaryGuard (The Release Gate)
Verifies release artifacts before they ship.
- Secret Scanning: Detects leaked secrets (
.env,*.token, API keys) in package files. - Debug Artifact Detection: Blocks
.coverage,.pytest_cache,__pycache__from entering packages. - Build Config Verification: Ensures
pyproject.tomlhatch build config only includes intended paths. - Fail-Closed: Unknown backends, missing configs, or unparseable files produce
BLOCKED, never a silent pass.
📦 Installation
pip install qwed-infra
(Node.js/npm SDK coming soon)
⚡ Usage Examples
Verify IAM Policies
from qwed_infra import IamGuard
guard = IamGuard()
policy = {
"Effect": "Allow",
"Action": "s3:GetObject",
"Resource": "*",
"Condition": {"IpAddress": {"aws:SourceIp": "192.168.1.0/24"}}
}
# Verify: Is it accessible from the public internet?
result = guard.verify_access(
policy,
action="s3:GetObject",
resource="my-bucket",
context={"aws:SourceIp": "8.8.8.8"} # Public IP
)
print(result.allowed) # -> False (Blocked by IP)
Verify Network Reachability
from qwed_infra import NetworkGuard
net = NetworkGuard()
infra = {
"subnets": [
{"id": "subnet-web", "security_groups": ["sg-web"]},
],
"route_tables": [
{
"subnet_id": "subnet-web",
"routes": {"0.0.0.0/0": "igw-main"},
}
],
"security_groups": {
"sg-web": {"ingress": [{"port": 80, "cidr": "0.0.0.0/0"}]},
},
}
# Is the web subnet reachable from Internet on port 80?
result = net.verify_reachability(infra, "internet", "subnet-web", port=80)
print(result.reachable) # -> True (Risk Alert!)
# Convert to structured diagnostic for CI/CD enforcement
diagnostic = NetworkGuard.to_diagnostic(result)
print(diagnostic.status.value) # -> VERIFIED / BLOCKED / UNVERIFIABLE
Enforce Budget
from qwed_infra import CostGuard
cost = CostGuard()
resources = {
"instances": [
{"id": "gpu", "instance_type": "p4d.24xlarge", "count": 2}
]
}
result = cost.verify_budget(resources, budget_monthly=1000)
print(result.within_budget) # -> False
print(result.reason) # -> "Estimated cost $47844.20 EXCEEDS budget $1000.00"
Verify Package Boundary
from qwed_infra import ArtifactBoundaryGuard
guard = ArtifactBoundaryGuard()
result = guard.verify_package_boundary(package_dir="qwed_infra")
# Convert to structured diagnostic for CI/CD enforcement
diagnostic = ArtifactBoundaryGuard.to_diagnostic(result)
if diagnostic.status.value == "BLOCKED":
for finding in diagnostic.developer_fields["findings"]:
print(f"❌ {finding['finding_type']}: {finding['reason']}")
else:
print("✅ Package boundary verified — safe to ship.")
🔏 Verification Context v1.0
Every guard can emit a Verification Context (VC) document — a portable, machine-checkable trust artifact that records what was verified, by whom, with what proof, and whether a downstream system should admit or deny.
Why VC?
A True/False return value is enough for one process — but CI/CD pipelines, release gates, and audit trails need evidence that travels:
| Plain result | Verification Context |
|---|---|
result.allowed == False |
Document: claim, verifier identity+version, hash-linked evidence (proof_ref), admission decision |
| Lives only in your process log | JSON-serializable, schema-validated, evidence-bound (sha256 proof_ref computed over the exact evidence) |
| No story when someone asks "who verified this?" | proof.verifier, audit_trace, and rule IDs answer it |
The document is fail-closed by construction: anything that is not proven is DENY — UNVERIFIABLE and BLOCKED outcomes can never produce ADMIT. Attestations are cryptographically validated (ES256 signature, issuer, expiry, revocation) and bound to the exact claim and evidence (query_hash, proof_hash) — a token minted for one statement can never admit another.
Usage
Each guard runs its own verification internally and returns a VC document. You pass raw inputs — never a pre-computed result object:
from qwed_infra import NetworkGuard
from qwed_infra.attestation import mint_diagnostic_attestation
net = NetworkGuard()
infra = {
"subnets": [{"id": "subnet-web", "security_groups": ["sg-web"]}],
"route_tables": [
{"subnet_id": "subnet-web", "routes": {"0.0.0.0/0": "igw-main"}},
],
"security_groups": {
"sg-web": {"ingress": [{"port": 80, "cidr": "0.0.0.0/0"}]},
},
}
statement = "Traffic from internet to subnet-web on port 80 is safe"
# Mint an attestation bound to THIS claim + evidence (the guard computes the
# same check internally; the token's proof_hash must match its commitment).
diagnostic = NetworkGuard.to_diagnostic(
net.verify_reachability(infra, "internet", "subnet-web", 80)
)
attestation = mint_diagnostic_attestation(
diagnostic, engine="NetworkGuard", query=statement
)
if not attestation.is_issued:
# fail-closed contract: never proceed on an unissued attestation
raise RuntimeError(f"Attestation unavailable [{attestation.error_code}]")
doc = net.to_verification_context(
infra, # raw topology — the guard verifies this itself
"internet",
"subnet-web",
80,
formal_statement=statement,
# optional; without it VERIFIED degrades to UNVERIFIABLE/DENY.
# A forged, expired, revoked, or non-matching token BLOCKS.
attestation_token=attestation.token,
)
print(doc.verdict.value) # -> VERIFIED / BLOCKED / UNVERIFIABLE
print(doc.context.decision.admission.value) # -> ADMIT / DENY
The same pattern holds for every guard (formal_statement is keyword-only and required).
Schematic — define policy/resources etc. as in the guard examples above:
IamGuard().to_verification_context(policy, action, resource, context,
formal_statement="IAM policy is safe to apply")
CostGuard().to_verification_context(resources, budget_monthly,
formal_statement="Estimated cost is within budget")
ArtifactBoundaryGuard().to_verification_context(package_dir="mypkg", pyproject_path="pyproject.toml",
formal_statement="Package boundary is safe to publish")
Using VC documents downstream
from qwed_infra.verification_context import is_valid_document, resolve_document_proof_ref
document = doc.to_dict() # JSON-serializable dict
if not is_valid_document(document):
raise ValueError("Invalid VC document — reject") # schema/verdict inconsistency
admission = document["context"]["decision"]["admission"] # ADMIT or DENY
if admission == "ADMIT":
# VERIFIED documents carry a proof_ref bound to the exact evidence;
# require that it resolves before trusting the decision.
if not resolve_document_proof_ref(document):
raise ValueError("VC document proof_ref does not resolve — reject")
# ... proceed with the gated operation ...
else:
# DENY: fail closed. BLOCKED/UNVERIFIABLE documents do not require
# context.evidence.proof_ref (diagnostic proof hashes are separate).
raise PermissionError(f"Verification denied ({document['verdict']}) — reject")
Store or forward document anywhere JSON goes — release gates, pipeline artifacts, audit logs. The proof_ref binds a VERIFIED decision to the exact evidence that produced it. VC evidence can contain sensitive infrastructure, policy, or cost data — apply your own access control, redaction, and retention rules when storing or forwarding documents downstream.
Attestation trust model: attestations are self-signed by the guard process (ES256, ephemeral key) and cryptographically validated at the admission boundary — signature, issuer, expiry, revocation, plus binding to the exact claim and evidence. This is the interim stage on the path to an external witness/transparency log (ADR-005 in qwed-verification); multi-replica deployments require shared signing keys until replica-key resolution exists.
❓ FAQ
Q: Do I need Terraform installed?
A: No. qwed-infra parses .tf files as text using a custom HCL parser (or operates on JSON plans).
Q: Can it verify Kubernetes? A: Currently focuses on AWS Terraform. K8s Manifest verification is on the roadmap (Phase 19).
Q: Why standard pricing?
A: We use public On-Demand pricing for "Worst Case" estimation. If you have Enterprise Discounts, qwed-infra ensures you remain safe even at list price.
🗺️ Roadmap
- ✅ v0.1.0: IAM Z3 Logic, Basic Network Graph, Static Cost Catalog. (Released Jan 2025)
- ✅ v0.2.0: Fail-closed parser + IAM, NetworkGuard CIDR fix, CI fail-open removal, diagnostic port (audit.py/InfraDiagnosticResult), CostGuard Decimal/unknown types, ArtifactBoundaryGuard.
- ✅ v0.3.0: Verification Context v1.0 across all four guards (bridge,
to_verification_context()adapters, conformance suite) + attestation trust boundary — ES256-signed receipts bound to the exact claim and evidence gate every ADMIT. (Current) - 🔮 Next: Docker/deployment artifact verification, K8s manifest support, Azure provider.
🌐 QWED Ecosystem
| Package | Description | Repo |
|---|---|---|
| qwed ☑️ | Core deterministic AI verification (Math, Logic, Code) | GitHub |
| qwed-infra ☁️ | IaC verification (Terraform, IAM, Network, Cost, Artifact) ← you are here | GitHub |
| qwed-finance 🏦 | Financial computation verification | GitHub |
| qwed-legal 🏛️ | Legal document verification | GitHub |
| qwed-tax 💸 | Tax calculation verification | GitHub |
| qwed-mcp 🔌 | Model Context Protocol verification | GitHub |
| qwed-a2a 🔄 | Agent-to-Agent verification protocol | GitHub |
| qwed-ucp 🛒 | Unified Context Protocol | GitHub |
| open-responses 🤖 | Guards for OpenAI/LangChain agent outputs | GitHub |
| qwed-learning 📚 | Educational content verification | GitHub |
🛡️ What Does "Verified by QWED" Mean?
When you see the Verified by QWED badge on a repository, it is a technical guarantee that:
- Deterministic Verification: The software uses symbolic solvers (Z3, graph theory) — not AI confidence scores — to prove correctness.
- Fail-Closed Architecture: If the infrastructure cannot be fully parsed or verified, it is blocked, not silently passed.
- No Silent Degradation: Every guard produces a structured diagnostic with clear status (
VERIFIED,BLOCKED,UNVERIFIABLE). Partial verification is never presented as proof.
The badge means: "We don't trust the AI. We trust the Math."
⭐ Star History
📄 Citation
If you use qwed-infra in your research or project:
@software{dass2026qwedinfra,
author = {Dass, Rahul},
title = {QWED-Infra: Deterministic Verification for Infrastructure as Code},
year = {2026},
publisher = {GitHub},
url = {https://github.com/QWED-AI/qwed-infra}
}
👥 Contributors
Thanks to everyone building QWED. See all contributors →
🙏 Contributors Wanted
| Area | What We Need |
|---|---|
| 🧪 Testing | Edge cases for guards (NetworkGuard, ArtifactBoundaryGuard) |
| 🐛 Bugs | Fix issues or report new ones |
| 📝 Docs | Improve examples and tutorials |
| 🔧 SDKs | Terraform plan JSON integration |
📄 License
Apache 2.0 - Open Source.
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