# Enterprise Attestation, Ecosystem Certification, And Test Harness

This page describes three enterprise-readiness tracks for PolicyAware:

- confidential-computing deployment patterns for SGX, SEV, and cloud enclaves
- upstream ecosystem certification targets
- deterministic high-volume policy test harnesses for CI

## Zero-Trust Hardware Attestation

PolicyAware is a Python governance framework. Hardware attestation is provided
by the deployment environment, not by Python code alone. The correct pattern is
to run PolicyAware inside an attested boundary and export evidence from that
boundary.

Recommended architecture:

```text
AI application or sidecar
  -> PolicyAware gateway / MCP proxy
  -> attested runtime boundary
       - Azure Confidential Computing / AMD SEV-SNP
       - Google Confidential Space
       - AWS Nitro Enclaves
       - Intel SGX where available
  -> model provider, local model, or governed MCP server
```

What PolicyAware can provide:

- deterministic policy validation before deployment
- signed or hash-chained audit evidence
- policy checksum pinning
- local sidecar or embedded gateway mode
- OpenTelemetry and Prometheus telemetry from inside the trusted boundary

What the enclave platform provides:

- measured boot
- attestation document or quote
- workload identity binding
- memory encryption or isolation
- hardware-rooted proof of runtime integrity

Production recommendation:

1. Build a pinned container image for the PolicyAware sidecar or application.
2. Record the container digest in release evidence.
3. Run the container inside your cloud provider's confidential-computing runtime.
4. Store the attestation document alongside PolicyAware audit bundles.
5. Export only approved telemetry and audit evidence to your SIEM or GRC system.

PolicyAware should not claim to replace SGX, SEV, Nitro Enclaves, Confidential
Space, SPIFFE, mTLS, or cloud workload identity. It complements them by making
AI policy decisions explainable and auditable inside the trusted runtime.

## Upstream Ecosystem Certification

Enterprise developers discover governance tools through the frameworks they
already use. PolicyAware should maintain small, official integration packages,
examples, and upstream documentation PRs for:

| Ecosystem | Target contribution |
| --- | --- |
| LangChain | Callback handler and middleware example for prompt, output, and tool governance. |
| LlamaIndex | RAG callback example for retrieved-context checks, citation policy, and output leakage checks. |
| CrewAI | Agent/task guard example for multi-agent plans and tool approvals. |
| Anthropic MCP registry | MCP policy proxy guide showing JSON-RPC `tools/call` governance before server execution. |
| Haystack | RAG component examples for retrieval and output governance. |

Certification checklist:

1. Keep examples minimal and copy-pasteable.
2. Avoid optional heavyweight dependencies in the base install.
3. Include terminal output and CI tests.
4. Use official framework extension points.
5. Link back to PolicyAware docs, PyPI, and GitHub.
6. Avoid claiming formal certification until the upstream project accepts and
   publishes the integration.

## Deterministic Policy Test Harness

Governance systems need repeatable stress tests. PolicyAware includes a
deterministic harness that generates a seeded corpus of policy requests and runs
them concurrently against a policy YAML file.

Run a quick local check:

```bash
policyaware test-harness examples/policies/basic.yaml \
  --requests 500 \
  --workers 4 \
  --seed 1337
```

Run the intended enterprise stress test:

```bash
policyaware test-harness policyaware.yaml \
  --requests 10000 \
  --workers 16 \
  --seed 1337 \
  --max-errors 0
```

Machine-readable CI output:

```bash
policyaware test-harness policyaware.yaml \
  --requests 10000 \
  --workers 16 \
  --json
```

Standalone script entry point:

```bash
policyaware-test-harness policyaware.yaml \
  --requests 10000 \
  --workers 16 \
  --json
```

The harness reports:

- request count
- worker count
- deterministic seed
- duration
- average latency
- exception count
- decision distribution
- corpus SHA-256
- deterministic corpus verification

Use this in CI when policy files change:

```yaml
name: PolicyAware deterministic harness

on:
  pull_request:
    paths:
      - "policyaware.yaml"
      - "policies/**"

jobs:
  harness:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: python -m pip install policyaware
      - run: policyaware policy validate policyaware.yaml
      - run: policyaware test-harness policyaware.yaml --requests 10000 --workers 16 --json
```

This does not prove formal compliance by itself. It gives teams a deterministic,
repeatable concurrency and policy-regression gate before policies are promoted
to production.