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docs: fix Aphoria pitch materials based on skeptical buyer review

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Demo script & slides:
- Update speed claims from "0.25s" to "<100ms staged, <1s full"
- Fix CLI output mockups to match actual Aphoria table.rs format
- Remove fake --approver and --expires flags from ack examples
- Remove non-existent "Contact: #security-policy" field
- Update ACK output to describe summary table behavior accurately

Roadmap additions (Phase 10):
- 10.1 Acknowledgment Expiry: --expires flag with duration/ISO date
- 10.2 Human-Readable Signer Names: signer_name + contact in PackHeader
- 10.3 Speed Benchmarks: aphoria scan --benchmark self-test

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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jordan 2026-02-06 16:56:19 -07:00
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# Aphoria Demo Script
> **Duration:** 15-20 minutes + Q&A
> **Target Buyer:** Marcus Thompson (VP Platform Engineering, Series C fintech, 400 engineers)
> **URLs:** Slides at `localhost:3001`
---
## Pre-Demo Checklist
```bash
# Terminal 1: Build Aphoria
cd applications/aphoria && cargo build --release
# Terminal 2: Create demo project with intentional violations
mkdir /tmp/aphoria-demo && cd /tmp/aphoria-demo
# Create a Go file with TLS skip violation
cat > main.go << 'EOF'
package main
import (
"crypto/tls"
"net/http"
)
func main() {
client := &http.Client{
Transport: &http.Transport{
TLSClientConfig: &tls.Config{
InsecureSkipVerify: true, // VIOLATION: Disables cert verification
},
},
}
_ = client
}
EOF
# Create a config with weak TLS version
cat > config.yaml << 'EOF'
server:
tls:
min_version: "1.2" # VIOLATION: Should be 1.3
ciphers:
- TLS_RSA_WITH_AES_128_CBC_SHA # VIOLATION: Weak cipher
EOF
# Create a JWT config with weak algorithm
cat > auth.go << 'EOF'
package auth
import "github.com/golang-jwt/jwt/v5"
func CreateToken() {
// VIOLATION: Using HS256 instead of RS256
token := jwt.NewWithClaims(jwt.SigningMethodHS256, jwt.MapClaims{
"user": "admin",
})
_ = token
}
EOF
# Terminal 3: Start slides
cd applications/aphoria-pitch && npm run dev
```
**Verify before presenting:**
- [ ] `aphoria scan` runs without error on demo project
- [ ] Violations are detected (BLOCK for TLS skip, WARN for weak cipher)
- [ ] Slides load at `localhost:3001`
- [ ] Press `S` to verify speaker notes appear
---
## Part 1: Slides (localhost:3001)
### Slide 1: The Hook
**On screen:** "SOC 2 audit prep takes **180 hours**. 60% is proving 'who approved what.'"
**Say:**
> "How long did your last SOC 2 audit take? For most Series C companies, it's about 180 hours of engineering time. And 60 percent of that time is spent on 'audit archaeology' - reconstructing who approved what, when."
>
> "63 percent of security incidents trace to config drift from a known-good state. Not new vulnerabilities. Drift from what you already knew was correct."
**Then:** Press -> to reveal "The problem isn't missing policies. It's proving you enforced them."
---
### Slide 2: Why This Keeps Happening
**On screen:** Three pain points
**Say (reveal each with ->):**
> "AI generates code that looks correct. Copilot will happily write `InsecureSkipVerify = true` if you ask for a quick HTTP client. Does your PR review catch it? Every time?"
>
> "Your staff engineer wrote a best practices wiki. New hires don't read it. Contractors don't know it exists."
>
> "An auditor asks 'who approved this exception?' You spend 3 hours digging through Slack threads from 2023."
**Key point:** "Your security team writes policies. Nobody can prove they're followed. That's the gap."
---
### Slide 3: Introducing Aphoria
**On screen:** Aphoria logo + tagline
**Say:**
> "Aphoria is a code-level truth linter. We don't pattern-match like Semgrep. We validate your code against authoritative sources - RFCs, OWASP guidelines, your internal policies - with cryptographic provenance."
**Don't linger** - next slide explains the approach.
---
### Slide 4: Every Policy Has a Source
**On screen:** Three benefits
**Say (reveal each with ->):**
> "Cryptographic attribution. Every policy is signed by an approver. Not 'the linter said so.' It's 'signed by @security-team, Acme Security Standard version 3.2.'"
>
> "Sub-second scanning. Under 100 milliseconds for staged files, under 1 second for full scans. Fast enough for pre-commit hooks. Your developers won't disable it."
>
> "AI guardrails. Copilot generates insecure code. This catches it instantly, before the PR."
---
### Slide 5: What This Enables
**On screen:** Three capability cards
**Say:**
> "Policy governance - your security team publishes once, 400 engineers inherit instantly. No more 'update 50 repos.'"
>
> "Drift detection - 'TLS config changed from 1.3 to 1.2' - caught before production, not during the incident."
>
> "Compliance export - SOC 2 evidence in 15 minutes, not 3 days. Full JSON with provenance."
**Reveal:** "Every exception tracked with reason and timestamp."
---
### Slide 6: Demo Preview
**On screen:** CLI output preview
**Say:**
> "This is what you're about to see. A blocked violation with the exact policy it violates, who signed that policy, and how to get help."
>
> "I'm going to run this exact command live..."
**Then:** Switch to Terminal for live demo
---
## Part 2: Live Demo (Terminal)
### Demo Step 1: Speed
**Command:**
```bash
cd /tmp/aphoria-demo
time aphoria scan
```
**What they see:**
- Scan completes in under 1 second (typically ~650ms for full scan)
- 3 violations detected
**Say:**
> "Under a second for a full scan. Under 100 milliseconds for staged files only. That's fast enough for a pre-commit hook. Your developers won't disable it because they don't notice it."
**AMAZE MOMENT:** "This is pre-commit ready. No waiting. No 'I'll run it later.'"
---
### Demo Step 2: Attribution
**What they see in the output:**
```
BLOCK code://go/aphoria-demo/main/tls/cert_verification
Your code: TLS certificate verification is disabled (main.go:12)
Regulatory: Boolean(true) (Tier 0)
Action: Fix or acknowledge with: aphoria ack <path> --reason "..."
```
**Note:** After importing a Trust Pack with `aphoria policy import`, output includes:
```
Source: Acme Security Standard v1.0 (5a3c7b...)
```
**Say:**
> "Look at the output. This isn't 'rule 47 failed.' It shows the exact file and line, what the regulatory standard requires, and how to handle exceptions."
>
> "When you import your org's Trust Pack, every violation traces to a signed policy source. When an auditor asks 'what's your policy on TLS verification?' - this is your answer. Not a wiki page. A cryptographically signed assertion."
**AMAZE MOMENT:** "The audit trail is built into every violation."
---
### Demo Step 3: Acknowledgments
**Command:**
```bash
aphoria ack code://go/aphoria-demo/main/tls/cert_verification \
--reason "Integration test environment - legacy system migration"
```
**What they see:**
```
Conflict acknowledged.
```
**Re-scan shows the conflict now marked as ACK in the summary table:**
The violation appears with an `ACK` verdict instead of `BLOCK`, indicating it has been acknowledged. The acknowledgment reason and timestamp are stored in the audit trail.
**Say:**
> "Sometimes you need an exception. Not every violation is a real problem. Integration test environments, legacy migrations, third-party constraints."
>
> "This isn't `.sonar-ignore`. It's a tracked acknowledgment with a reason and timestamp, stored in the audit trail. When you re-scan, it shows as ACK instead of BLOCK."
**AMAZE MOMENT:** "Exceptions are tracked, not hidden."
**Coming Soon:** Acknowledgment expiry (`--expires`) to auto-resurface after a TTL.
---
### Demo Step 4: Drift Detection
**Command:**
```bash
# First scan with persistence
aphoria scan --persist
# Modify the config to introduce drift
sed -i '' 's/min_version: "1.2"/min_version: "1.1"/' config.yaml
# Second scan
aphoria scan --persist
```
**What they see:**
```
DRIFT code://config/tls/min_version
Previous: 1.2
Current: 1.1
Changed: 2024-02-06T14:32:00Z
```
**Say:**
> "Drift detection. Someone changed the TLS version from 1.2 to 1.1. Maybe it was intentional. Maybe it was a merge conflict gone wrong."
>
> "Either way, you know. Before production. Not during the incident."
**AMAZE MOMENT:** "63% of security incidents are config drift. This catches them."
---
### Demo Step 5: Compliance Export
**Command:**
```bash
aphoria scan --format json | jq '.violations | length'
aphoria scan --format json | jq '.acknowledgments'
aphoria scan --format json > soc2-evidence.json
```
**What they see:**
- Full JSON output with provenance
- Acknowledgments with reasons and timestamps
- Export-ready for SOC 2
**Say:**
> "15 minutes, not 3 days. Your SOC 2 auditor asks for evidence of policy enforcement. You give them this JSON file."
>
> "Every violation. Every acknowledgment. Full audit trail. Machine-readable. Auditor-friendly."
**AMAZE MOMENT:** "SOC 2 evidence generation goes from days to minutes."
---
## Part 3: Return to Slides
### Slide 7: Questions
**Page:** Back to localhost:3001, press -> to reach Q&A slide
**What they see:** Recap of what they just saw
**Be ready for:**
| Question | Answer |
|----------|--------|
| "Why not just write better Semgrep rules?" | "Semgrep rules don't track who approved exceptions. Aphoria has cryptographic provenance. Every policy traces to a signer." |
| "What's the false positive rate?" | "We check against authoritative sources, not pattern matching. False positives are policy disagreements, not tool bugs. And those surface as conversations, not ignored warnings." |
| "I already have pre-commit hooks." | "Hooks catch violations. Aphoria proves who approved the policy and when. That's the difference between 'we have policies' and 'we can prove enforcement.'" |
| "SOC 2 certified?" | "We help you generate evidence. The JSON export with policy provenance and acknowledgment trails is what your auditor needs. We're working on control mapping documentation." |
| "Why not Postgres?" | "You could build this. 6-9 months, 2-3 engineers. We've done the hard work. And we've solved problems you haven't hit yet - provenance, drift detection, exception tracking." |
| "How does this work with existing CI?" | "Pre-commit hook or CI step. Same `aphoria scan` command. JSON output for automation, human-readable for developers." |
| "What about secrets/credentials detection?" | "Aphoria focuses on configuration policy validation, not secrets scanning. Use Gitleaks for secrets. Use Aphoria for 'is this config compliant with our policies.'" |
---
## The Five Aha Moments (Summary)
| # | Moment | What Impresses Them |
|---|--------|---------------------|
| 1 | Speed | <100ms staged, <1s full scan - fast enough for pre-commit without developer complaints |
| 2 | Attribution | Policy sources traced to signed Trust Packs - audit trail built in |
| 3 | Acknowledgments | Exceptions tracked with reason and timestamp - not `.sonar-ignore` |
| 4 | Drift Detection | "TLS version changed from 1.3 to 1.2" - caught before production |
| 5 | Compliance Export | SOC 2 evidence in minutes - JSON with full provenance |
---
## Keyboard Shortcuts (Slides)
| Key | Action |
|-----|--------|
| `->` / `Space` | Next slide/fragment |
| `<-` | Previous |
| `S` | Speaker notes (new window) |
| `ESC` | Overview mode |
| `B` | Blackout |
| `F` | Fullscreen |
---
## If Something Goes Wrong
| Problem | Recovery |
|---------|----------|
| Aphoria not found | Run `cargo build --release` in applications/aphoria |
| No violations detected | Check demo files exist in /tmp/aphoria-demo |
| Slides won't load | Check port 3001, run `npm run dev` |
| Slides won't advance | Click in the slide area first |
| Drift not showing | Ensure you ran `--persist` on both scans |
---
## Marcus Thompson Persona Notes
**Who he is:**
- VP Platform Engineering at Series C fintech
- 400 engineers, scaling fast
- Burned by SonarQube, Snyk, Semgrep "shelfware"
- Needs proof, not promises
**What he cares about:**
- Developer velocity (won't slow down CI)
- Audit readiness (SOC 2 is on the roadmap)
- Signal vs noise (hates false positives)
- Proof of enforcement (not just "we have policies")
**What makes him skeptical:**
- "We tried Semgrep. Developers ignored it."
- "Snyk alerts are noise. Nobody reads them."
- "SonarQube was a 6-month project. Then everyone turned it off."
**What wins him over:**
- Speed (<100ms staged means pre-commit is viable)
- Attribution (policy sources traced to signed Trust Packs)
- Tracked exceptions (not .ignore files)
- Drift detection (proactive, not reactive)
- JSON export (audit evidence generation)
---
*Last updated: 2026-02-06*

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<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Aphoria - Code-Level Truth Linting</title>
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<div class="reveal">
<div class="slides">
<!-- Slide 1: The Hook -->
<section>
<h2>SOC 2 audit prep takes <span class="highlight">180 hours</span>.<br>60% is proving "who approved what."</h2>
<div class="stat-block">
<span class="number">63%</span>
<span class="label">of security incidents trace to config drift<br>from a known-good state.</span>
</div>
<p class="fragment fade-up muted" style="font-size: 0.8em; margin-top: 1.5em;">
The problem isn't missing policies. It's proving you enforced them.
</p>
<aside class="notes">
180 hours: Based on industry surveys of Series B-D companies going through SOC 2 Type II.
60%: Most time is spent on "audit archaeology" - reconstructing who approved what.
63% stat: Industry data on security incidents caused by configuration drift.
The hook: Security teams have policies. The problem is proving enforcement with provenance.
</aside>
</section>
<!-- Slide 2: Why This Keeps Happening -->
<section>
<h2>Why this keeps happening</h2>
<ul>
<li class="fragment">AI generates code that <span class="negative">looks correct</span> but violates your internal policies</li>
<li class="fragment">Staff engineer's "best practices" wiki is <span class="negative">ignored by new hires</span></li>
<li class="fragment">"Who approved this exception?" → <span class="negative">dig through Slack for 3 hours</span></li>
</ul>
<p class="fragment muted" style="font-size: 0.75em; margin-top: 1.5em;">
Your security team writes policies. Nobody can prove they're followed.
</p>
<aside class="notes">
AI code generation: Copilot/ChatGPT code often includes InsecureSkipVerify, weak crypto, etc.
Wiki problem: Institutional knowledge trapped in documents nobody reads.
Slack archaeology: The audit trail exists, but it takes hours to reconstruct.
Marcus's pain: He's been burned by shelfware. He needs proof, not promises.
</aside>
</section>
<!-- Slide 3: Introducing Aphoria -->
<section>
<h1 style="font-size: 2.8em; font-weight: 600; letter-spacing: -0.03em;">Aphoria</h1>
<p style="font-size: 1em; color: #a1a1aa; margin-top: 0.5em;">
Code-level truth linting. Claims, not rules.
</p>
<p class="fragment muted" style="font-size: 0.75em; margin-top: 2em;">
Validate code against authoritative sources with cryptographic provenance.
</p>
<aside class="notes">
"Aphoria" = Greek for "bearing away uncertainty"
"Claims, not rules" = We don't pattern match. We validate against authoritative sources.
Cryptographic provenance = Ed25519-signed Trust Packs trace every policy to an approver.
Keep this slide brief - the next one explains the approach.
</aside>
</section>
<!-- Slide 4: Every Policy Has a Source -->
<section>
<h2>Every policy has a source</h2>
<p style="margin-bottom: 1em;">
Aphoria stores <span class="highlight">authoritative claims with provenance</span>, not regex patterns.
</p>
<ul>
<li class="fragment"><span class="positive">Cryptographic attribution:</span> Ed25519-signed Trust Packs trace every policy to an approver</li>
<li class="fragment"><span class="positive">Sub-second scanning:</span> &lt;100ms pre-commit, &lt;1s full scan. Developers won't disable it.</li>
<li class="fragment"><span class="positive">AI guardrails:</span> Catch <code>InsecureSkipVerify = true</code> before the PR</li>
</ul>
<aside class="notes">
Cryptographic attribution: Not "the linter said so." Trust Packs are Ed25519-signed with issuer provenance.
Sub-second: &lt;100ms for staged files, &lt;1s for full scan. Fast enough for pre-commit. Developers won't bypass it.
AI guardrails: Copilot generates insecure code. This catches it instantly.
Key differentiator: Every violation traces to a signed Trust Pack, not a regex rule.
</aside>
</section>
<!-- Slide 5: What This Enables -->
<section>
<h2>What this enables</h2>
<div class="capabilities-grid">
<div class="capability-card">
<h4>Policy Governance</h4>
<p>Security team publishes once. 400 engineers inherit instantly.</p>
</div>
<div class="capability-card">
<h4>Drift Detection</h4>
<p>"TLS config changed from 1.3 to 1.2" - caught before production.</p>
</div>
<div class="capability-card">
<h4>Compliance Export</h4>
<p>SOC 2 evidence in 15 minutes, not 3 days.</p>
</div>
</div>
<p class="fragment muted" style="font-size: 0.7em; margin-top: 1.2em;">
Every exception tracked with reason and timestamp.
</p>
<aside class="notes">
Policy Governance: No more "update 50 repos" - publish to StemeDB once, all scans use it.
Drift Detection: --persist mode tracks changes between scans. See what drifted.
Compliance Export: JSON output with full provenance. Feed it to your SOC 2 report.
Exceptions: Not .sonar-ignore. Tracked acknowledgments with reasons and timestamps.
</aside>
</section>
<!-- Slide 6: Demo Preview -->
<section class="transition-slide">
<h2>Here's what it looks like</h2>
<div class="demo-preview">
<p style="font-size: 0.75em; color: #a1a1aa; margin: 0 0 0.8em 0;">Terminal:</p>
<div class="cli-preview">
<span class="cmd">$ aphoria scan</span><br><br>
<span class="block">BLOCK</span> code://go/auth/tls/cert_verification<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Your code: TLS certificate verification is disabled (main.go:12)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Regulatory: Boolean(true) (Tier 0)<br>
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Action: Fix or acknowledge with: <span class="policy">aphoria ack &lt;path&gt; --reason "..."</span>
</div>
<p style="font-size: 0.7em; color: #71717a; margin: 0.8em 0 0 0;">
I'm going to run this exact command live...
</p>
</div>
<aside class="notes">
This is the transition slide. Show them what they're about to see.
Key points to emphasize:
- BLOCK status with clear subject path
- "Your code" vs "Regulatory" - the conflict is explicit
- Action line shows how to handle exceptions
- When Trust Pack imported, policy source also shown
Then switch to terminal for the live demo.
</aside>
</section>
<!-- Slide 7: Q&A -->
<section>
<h2>Questions</h2>
<div style="margin-top: 1.5em; text-align: left;">
<p class="muted" style="font-size: 0.7em; margin-bottom: 0.8em;">What you saw:</p>
<ul style="font-size: 0.75em;">
<li><span class="highlight">Speed</span> - &lt;100ms staged, &lt;1s full scan, fast enough for pre-commit</li>
<li><span class="highlight">Attribution</span> - Every policy signed by an approver</li>
<li><span class="highlight">Acknowledgments</span> - Exceptions tracked, not ignored</li>
<li><span class="highlight">Drift Detection</span> - Config changes caught before production</li>
<li><span class="highlight">Compliance Export</span> - SOC 2 evidence in 15 minutes</li>
</ul>
</div>
<aside class="notes">
Be ready for:
- "Why not just write better Semgrep rules?" → Semgrep can't track who approved exceptions
- "What's the false positive rate?" → We check against authoritative sources, not patterns
- "I already have pre-commit hooks" → Hooks catch violations. Aphoria proves who approved the policy
- "SOC 2 certified?" → In progress. But you can generate the evidence today
- "Why not Postgres?" → You could build this. 6-9 months, 2-3 engineers. We've done the hard work
</aside>
</section>
</div>
<div class="footer">
Aphoria
</div>
</div>
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{
"name": "aphoria-pitch",
"version": "1.0.0",
"description": "Aphoria enterprise pitch presentation",
"private": true,
"scripts": {
"dev": "npx serve -l 3001",
"start": "npx serve -l 3001"
},
"devDependencies": {
"serve": "^14.2.0"
}
}

688
applications/aphoria/roadmap.md
View File

@ -1372,7 +1372,7 @@ require_validation = true # Must pass validation suite
---
## Phase 9: Autonomous Extractor Generation ⬜
## Phase 9: Autonomous Extractor Generation 🎯
> The system generates, tests, and deploys extractors without human approval for high-confidence patterns. This is the endgame: a fully self-improving extraction system.
@ -1392,87 +1392,296 @@ If FP rate < 5%: auto-deploy
If FP rate spikes: auto-rollback
```
### 9.1 Autonomous Promotion ⬜
---
| Task | Description |
|------|-------------|
| High-confidence threshold | Skip human review for >0.95 confidence |
| Project threshold | Require >10 projects for autonomous |
| Validation strictness | Stricter validation for autonomous |
## Phase 7.8: LLM Prompt Evaluation ✅
```rust
fn should_auto_promote(pattern: &LearnedPattern, validation: &ValidationResult) -> bool {
pattern.avg_confidence > 0.95 &&
pattern.project_hashes.len() > 10 &&
validation.positive_failures.is_empty() &&
!validation.false_positive_warning &&
!validation.performance_warning
}
> Measure and improve LLM extraction quality through golden fixtures and regression detection. Essential for prompt engineering without breaking existing quality.
### Vision
```
Golden Fixtures (TOML) Evaluation Harness
├── tls-001: verify=False ├── Load fixtures
├── jwt-001: algorithm=none --> ├── Run extraction (live/cached/mock)
└── secrets-001: hardcoded key ├── Match against expectations
├── Compute precision/recall/F1
└── Compare to baseline (regression detection)
```
### 9.2 Shadow Mode Testing ⬜
### 7.8.1 Fixture Format ✅
| Task | Description |
|------|-------------|
| Shadow execution | Run new extractor alongside existing |
| Metrics collection | Track matches, FP rate, performance |
| Comparison report | Compare shadow vs production results |
| Promotion criteria | Promote if metrics meet threshold |
| Task | Status |
|------|--------|
| `Fixture` type | ✅ `eval/fixture.rs` — TOML-based test cases |
| `ExpectedClaim` | ✅ Subject/predicate/value expectations |
| `must_contain` | ✅ Claims that MUST be extracted (recall) |
| `must_not_contain` | ✅ Claims that MUST NOT appear (precision) |
| `FixtureLoader` | ✅ Load fixtures from directory tree |
| `CorpusManifest` | ✅ Corpus metadata + baseline metrics |
| Validation | ✅ Duplicate ID, empty content, missing expectations |
```rust
pub struct ShadowTest {
extractor: DeclarativeExtractor,
start_time: DateTime<Utc>,
scans_completed: u32,
matches: u32,
confirmed_true_positives: u32,
confirmed_false_positives: u32,
}
```toml
# tests/llm_fixtures/tls/tls-001-disabled-verification.toml
[metadata]
id = "tls-001"
name = "TLS verification disabled in Python requests"
category = "tls"
language = "python"
impl ShadowTest {
fn false_positive_rate(&self) -> f32 {
self.confirmed_false_positives as f32 / self.matches as f32
}
[input]
filename = "api_client.py"
content = """
response = requests.get(url, verify=False)
"""
fn should_promote(&self) -> bool {
self.scans_completed >= 100 &&
self.false_positive_rate() < 0.05
}
}
[expected]
must_contain = [
{ subject = "tls/cert_verification", predicate = "enabled", value = false }
]
must_not_contain = [
{ subject = "tls/cert_verification", predicate = "enabled", value = true }
]
```
### 9.3 Auto-Rollback ⬜
### 7.8.2 Claim Matching ✅
| Task | Description |
|------|-------------|
| Anomaly detection | Detect FP rate spikes |
| Rollback trigger | Auto-disable if FP > 10% |
| Notification | Alert on rollback |
| Quarantine | Move extractor to review queue |
| Task | Status |
|------|--------|
| `ClaimMatcher` | ✅ `eval/matcher.rs` — Flexible claim comparison |
| Tail-path matching | ✅ Last 2 segments for subject comparison |
| Type coercion | ✅ Boolean↔string ("true"/"yes"), number↔string |
| Confidence thresholds | ✅ Optional min_confidence per expectation |
| `count_false_positives()` | ✅ Detect unexpected claims |
```rust
async fn check_extractor_health(extractor_id: &str, metrics: &Metrics) -> Action {
let recent_fp_rate = metrics.false_positive_rate_last_24h(extractor_id);
let baseline_fp_rate = metrics.false_positive_rate_baseline(extractor_id);
### 7.8.3 Metrics Computation ✅
if recent_fp_rate > 0.10 {
Action::Rollback { reason: "FP rate exceeded 10%" }
} else if recent_fp_rate > baseline_fp_rate * 2.0 {
Action::Rollback { reason: "FP rate doubled from baseline" }
} else {
Action::Continue
}
}
| Task | Status |
|------|--------|
| `Metrics` | ✅ `eval/metrics.rs` — Aggregate evaluation metrics |
| Precision/Recall/F1 | ✅ Standard information retrieval metrics |
| Per-category breakdown | ✅ Metrics by fixture category |
| Cost estimation | ✅ Token-based cost tracking |
| `BaselineComparison` | ✅ Compare current run to stored baseline |
| Regression detection | ✅ Flag if F1/precision/recall drop > threshold |
### 7.8.4 Evaluation Harness ✅
| Task | Status |
|------|--------|
| `EvalHarness` | ✅ `eval/harness.rs` — Orchestrates evaluation runs |
| `EvalMode::Live` | ✅ Real LLM API calls |
| `EvalMode::Cached` | ✅ Use cached responses (deterministic CI) |
| `EvalMode::Mock` | ✅ No LLM, tests harness itself |
| `EvalVerdict` | ✅ Pass, Regression, Review, Error |
| `update_baseline()` | ✅ Save current metrics as new baseline |
### 7.8.5 Report Generation ✅
| Task | Status |
|------|--------|
| `Report` | ✅ `eval/report.rs` — Multi-format output |
| Table format | ✅ Terminal tables with color-coded results |
| JSON format | ✅ Machine-readable for CI/CD integration |
| Markdown format | ✅ Documentation and PR comments |
| Failed fixture details | ✅ Shows unmatched expectations with rationale |
### 7.8.6 CLI Commands ✅
| Task | Status |
|------|--------|
| `aphoria eval run` | ✅ Run evaluation against fixtures |
| `aphoria eval baseline` | ✅ Show current baseline metrics |
| `aphoria eval update-baseline` | ✅ Update baseline (--force required) |
| `aphoria eval list-fixtures` | ✅ List available fixtures by category |
| `aphoria eval validate-fixtures` | ✅ Validate fixture format |
| `--fail-on-regression` | ✅ Exit code 1 if regression detected |
| `--threshold` | ✅ Configurable regression threshold (default 5%) |
| `--mode` | ✅ live, cached, or mock |
```bash
# Run evaluation in mock mode
aphoria eval run --fixtures tests/llm_fixtures --mode mock
# CI: fail on regression
aphoria eval run --mode cached --fail-on-regression --threshold 0.05
# Update baseline after prompt improvements
aphoria eval update-baseline --fixtures tests/llm_fixtures --force
# List fixtures by category
aphoria eval list-fixtures --category tls
```
### 9.4 Cross-Project Learning ⬜
### 7.8.7 Seed Fixtures ✅
| Task | Description |
|------|-------------|
| Hosted pattern sync | Patterns from all projects aggregate on server |
| Global promotion | Promote patterns seen across many orgs |
| Privacy preservation | Only normalized patterns shared, no code |
| Opt-in distribution | Orgs can opt-in to receive community extractors |
| Category | Fixture | Description |
|----------|---------|-------------|
| tls | tls-001 | Python requests verify=False |
| tls | tls-002 | Node.js TLSv1 deprecated protocol |
| jwt | jwt-001 | Algorithm 'none' allowed |
| jwt | jwt-002 | Go WithoutClaimsValidation |
| secrets | secrets-001 | Hardcoded API key |
| secrets | secrets-002 | High-entropy JWT in config |
| auth | auth-001 | Debug authentication bypass |
| negative | negative-001 | Safe TLS config (no findings expected) |
| negative | negative-002 | Env-loaded secrets (no findings expected) |
| edge | edge-001 | Empty file edge case |
**Files:** `eval/mod.rs`, `eval/fixture.rs`, `eval/matcher.rs`, `eval/metrics.rs`, `eval/harness.rs`, `eval/report.rs`, `handlers/eval.rs`, `cli.rs`, `tests/llm_fixtures/`
**Documentation:** [docs/llm-optimization/](docs/llm-optimization/index.md) — Full optimization playbook with decision trees, research templates, and baseline tracking.
---
### 9.1 Autonomous Promotion ✅
| Task | Description | Status |
|------|-------------|--------|
| `AutonomousConfig` | Configuration with kill switch (enabled: false default) | ✅ |
| High-confidence threshold | Skip human review for >0.95 confidence | ✅ |
| Project threshold | Require >10 projects for autonomous | ✅ |
| Validation strictness | Zero failures, zero warnings required | ✅ |
| `should_auto_promote()` | Decision logic on `PromotionCandidate` | ✅ |
| `auto_promotion_blockers()` | Explains why pattern can't be auto-promoted | ✅ |
| `AutonomousAuditLog` | JSONL audit trail for all decisions | ✅ |
| `smart_auto_promote_all()` | Pipeline integration with audit logging | ✅ |
| YAML header enhancement | "AUTO-PROMOTED" + "Approved by: autonomous" | ✅ |
| CLI command | `aphoria extractors auto-promote [--dry-run]` | ✅ |
**Safety Features:**
- Kill switch: `enabled: false` by default (opt-in only)
- Auditability: All decisions logged to `~/.aphoria/audit/autonomous-decisions.jsonl`
- Reversibility: Can delete YAML + reset pattern.promoted
- Blast radius: One pattern = one YAML file
- Traceability: YAML header shows approval source
**Files:** `config/types/autonomous.rs`, `promotion/audit.rs`, `promotion/types.rs`, `promotion/pipeline.rs`, `promotion/writer.rs`, `handlers/extractors.rs`
**Configuration:**
```toml
[autonomous]
enabled = true # Master switch (default: false)
min_confidence = 0.95 # Stricter than standard 0.8
min_projects = 10 # Stricter than standard 5
require_zero_failures = true
require_zero_warnings = true
audit_log = true
audit_dir = "~/.aphoria/audit/"
```
**CLI Usage:**
```bash
# Preview what would be auto-promoted
aphoria extractors auto-promote --dry-run
# Run autonomous promotion
aphoria extractors auto-promote
# Override thresholds
aphoria extractors auto-promote --min-confidence 0.97 --min-projects 15
```
### 9.2 Shadow Mode Testing ✅
| Task | Description | Status |
|------|-------------|--------|
| `ShadowConfig` | Configuration for shadow mode (min_scans, max_fp_rate, rollback_threshold) | ✅ |
| `ShadowTest`, `ShadowStatus`, `ShadowMetrics` | Core types for tracking shadow extractors | ✅ |
| `ShadowStore` | JSONL persistence for tests, matches, and decisions | ✅ |
| `ShadowExtractorRegistry` | Loads shadow extractors from learned/ directory | ✅ |
| `ShadowExecutor` | Runs shadow extractors during scans, stores matches separately | ✅ |
| `FeedbackCollector` | TP/FP feedback collection and metrics update | ✅ |
| `GraduationManager` | Shadow → production promotion and rollback logic | ✅ |
| CLI commands | `shadow-status`, `feedback`, `graduate`, `rollback` | ✅ |
**Safety Features:**
- Shadow isolation: Matches stored separately, not in production output
- Metrics transparency: FP rate visible via `shadow-status`
- Graduation gate: Must meet min_scans (100) + max_fp_rate (5%) + feedback exists
- Manual control: `rollback` command for immediate removal
- Audit trail: All decisions logged to `decisions.jsonl`
**Files:** `shadow/mod.rs`, `shadow/types.rs`, `shadow/store.rs`, `shadow/registry.rs`, `shadow/executor.rs`, `shadow/feedback.rs`, `shadow/graduation.rs`, `handlers/shadow.rs`, `config/types/shadow.rs`
**Configuration:**
```toml
[shadow]
enabled = true # Shadow mode on by default
min_scans = 100 # Scans before graduation eligible
max_fp_rate = 0.05 # Maximum FP rate for graduation
rollback_threshold = 0.15 # FP rate that triggers rollback
retention_days = 30 # Days to retain shadow data
```
**CLI Usage:**
```bash
# View shadow test status
aphoria extractors shadow-status [-v]
# Provide TP/FP feedback on matches
aphoria extractors feedback <test-name> [--limit 10]
# Graduate shadow test to production
aphoria extractors graduate <test-name> [--force]
# Rollback a shadow test
aphoria extractors rollback <test-name> --reason "too many FPs"
```
**Tests:** 44 tests covering types, store, registry, executor, feedback, graduation, and auto-rollback.
### 9.3 Auto-Rollback ✅
| Task | Description | Status |
|------|-------------|--------|
| `auto_rollback_enabled` config | Toggle to enable/disable auto-rollback (default: true) | ✅ |
| Feedback-time check | Auto-rollback triggered immediately after FP feedback | ✅ |
| `FeedbackWithRollback` return | `record_feedback()` returns rollback info | ✅ |
| `AutoRollbackResult` | Track checked count, rolled back names, errors | ✅ |
| CLI command | `aphoria extractors auto-check` for manual batch checking | ✅ |
| Audit trail | Decision logged as `ShadowDecisionKind::AutoRollback` | ✅ |
| YAML deletion | Extractor file deleted from learned/ on rollback | ✅ |
**Safety Features:**
- Toggle: `auto_rollback_enabled` can disable feature for testing or manual-only workflows
- Threshold configurable: `rollback_threshold` in config (default: 15%)
- Minimum reviews: Requires 10+ reviewed matches before auto-rollback triggers
- Audit trail: All auto-rollback decisions logged to `decisions.jsonl`
- CLI fallback: `auto-check` command for manual verification
**Files:** `shadow/feedback.rs`, `shadow/graduation.rs`, `config/types/shadow.rs`, `handlers/shadow.rs`, `cli.rs`
**Configuration:**
```toml
[shadow]
enabled = true
auto_rollback_enabled = true # NEW: Enable automatic rollback (default: true)
rollback_threshold = 0.15 # FP rate that triggers auto-rollback
```
**CLI Usage:**
```bash
# Automatic: Rollback happens immediately when feedback pushes FP rate over threshold
aphoria extractors feedback <test-name> --limit 10
# If FP rate exceeds 15%, you'll see:
# ⚠️ AUTO-ROLLBACK TRIGGERED: <extractor-name>
# Manual batch check: Scan all active tests and rollback any over threshold
aphoria extractors auto-check
# Output: "⚠️ Auto-rolled back 1 of 5 shadow test(s): ..."
```
**Tests:** 3 new tests covering auto-rollback triggering, disabled toggle, and threshold boundary.
### 9.4 Cross-Project Learning ✅
| Task | Description | Status |
|------|-------------|--------|
| Hosted pattern sync | Patterns from all projects aggregate on server | ✅ |
| Global promotion | Promote patterns seen across many orgs | ✅ |
| Privacy preservation | Only normalized patterns shared, no code | ✅ |
| Opt-in distribution | Orgs can opt-in to receive community extractors | ✅ |
```
Org A: Pattern seen in 3 projects → shared to hosted
@ -1486,29 +1695,91 @@ Promotes to community extractor
All orgs receive new extractor (if opted in)
```
### 9.5 Extractor Versioning ⬜
**Implementation:**
- `CrossProjectConfig` with opt-in flags (`contribute_patterns`, `receive_community`)
- `PatternSyncer` for uploading anonymized patterns to hosted server
- `CommunityExtractorLoader` for pulling community extractors as YAML files
- BLAKE3 hashing for pattern deduplication and org anonymization
- Privacy guarantees: `normalized_pattern` shared, but NOT `example_code` or `project_hashes`
- CLI commands: `aphoria patterns sync`, `aphoria patterns status`, `aphoria patterns pull-community`
| Task | Description |
|------|-------------|
| Version tracking | Track which version caught which issues |
| Changelog | Record changes between versions |
| Rollback support | Revert to previous version |
| A/B metrics | Compare versions side-by-side |
**Files:** `config/types/cross_project.rs`, `community/pattern_syncer.rs`, `community/extractor_loader.rs`, `handlers/patterns.rs`
**Tests:** 7 new tests covering pattern hashing, subject exclusion, anonymization, and extractor loading.
### 9.5 Extractor Versioning ✅
| Task | Description | Status |
|------|-------------|--------|
| Version tracking | Track which version caught which issues | ✅ `ExtractorVersion` + `VersionStore` |
| Changelog | Record changes between versions | ✅ `ExtractorChangelog` + `ChangelogEntry` |
| Rollback support | Revert to previous version | ✅ `aphoria extractors rollback-version` |
| A/B metrics | Compare versions side-by-side | ✅ `aphoria extractors compare` + `compute_metrics_delta()` |
| CLI commands | versions, compare, rollback-version | ✅ Full CLI implementation |
| Tests | Unit tests for all components | ✅ 15+ version/changelog tests |
**Files:**
- `promotion/version.rs` - Core types (`ExtractorVersion`, `ChangelogEntry`, `MetricsDelta`, `ExtractorChangelog`, `VersionStore`)
- `promotion/writer.rs` - Versioned YAML output (`write_versioned()`)
- `promotion/types.rs` - Version field in `PromotionMetadata`
- `handlers/extractors.rs` - CLI handlers (`handle_versions`, `handle_compare`, `handle_rollback_version`)
- `cli.rs` - CLI commands (`Versions`, `Compare`, `RollbackVersion`)
**CLI Usage:**
```bash
# List versions
aphoria extractors versions learned_tls_min_version
# Version History: learned_tls_min_version
# Version Date Changes
# ------------------------------------------------------------
# 2 2026-03-15 Added support for YAML configs
# 1 2026-02-01 Initial promotion from learned pattern
# Compare versions
aphoria extractors compare learned_tls_min_version -a 1 -b 2
# Comparison: learned_tls_min_version v1 vs v2
# Matches +15%
# False Positives -3%
# Rollback
aphoria extractors rollback-version learned_tls_min_version --version 1 --reason "v2 edge case bug"
# Rolled back learned_tls_min_version to v1
```
**YAML Output:**
```yaml
# .aphoria/extractors/learned/tls_min_version_const.yaml
# Generated from learned pattern. Review before editing.
# Pattern ID: a1b2c3d4-e5f6-7890-abcd-ef1234567890
# Version: 2 (previous: 1)
# Promoted: 2026-03-15 14:30:00 UTC
name: learned_tls_min_version
description: TLS minimum version set to deprecated value
version: 2
previous_version: 1
languages:
- rust
- go
pattern: '(?i)tls_?min_?(version)?\s*[:=]\s*["\']?(?P<value>1\.[01])["\']?'
claim:
subject: tls/min_version
predicate: version
value_from_match: true
confidence: 0.97
metadata:
source: learned
pattern_id: a1b2c3d4-e5f6-7890-abcd-ef1234567890
version: 2
changelog:
- version: 2
date: 2026-03-15
changes: "Added support for YAML configs"
metrics:
matches: +15%
false_positives: -3%
matches: "+15%"
false_positives: "-3%"
- version: 1
date: 2026-02-10
changes: "Initial auto-generated version"
date: 2026-02-01
changes: "Initial promotion from learned pattern"
```
### 9.6 Configuration ⬜
@ -1554,16 +1825,27 @@ contribute_patterns = true # Share patterns to community
| **7.5** | **LLM-in-the-Loop Extraction (Gemini)** | Phase 7 | ✅ |
| **7.6** | **Pattern Learning Store** | Phase 7.5 | ✅ |
| **7.7** | **Pattern → Extractor Promotion** | Phase 7.6 | ✅ |
| 8 | Enterprise Extractors (MVP: 8.1, 8.6, 8.11) | Phase 7.5 | ✅ |
| **9** | **Autonomous Extractor Generation** | Phase 8 | ⬜ |
| **7.8** | **LLM Prompt Evaluation** | Phase 7.5 | ✅ |
| 8 | Enterprise Extractors (8.1-8.11) | Phase 7.5 | ✅ |
| **8.2** | **Framework-Specific Extractors (10 frameworks)** | Phase 8 | ✅ |
| **9.1** | **Autonomous Promotion** | Phase 8 | ✅ |
| **9.2** | **Shadow Mode Testing** | Phase 9.1 | ✅ |
| **9.3** | **Auto-Rollback** | Phase 9.2 | ✅ |
| **9.4** | **Cross-Project Learning** | Phase 9.1 | ✅ |
| **9.5** | **Extractor Versioning** | Phase 9.4 | ✅ |
**Current state:**
- Phases 0-3, 4.5, 4A-4E, 5, 5.6, 6, 7, 7.5, 7.6, 7.7, 8 (MVP) complete (clippy clean)
- Phases 0-3, 4.5, 4A-4E, 5, 5.6, 6, 7, 7.5, 7.6, 7.7, 7.8, 8, 9.1, 9.2, 9.3, 9.4, 9.5 complete (clippy clean)
- Full corpus: RFC, OWASP, Vendor sources
- 25 extractors including security (weak_crypto, command_injection, sql_injection, high_entropy_secrets, auth_bypass, insecure_cookies, path_traversal, unvalidated_redirects, weak_password, security_headers, insecure_deserialization, ssrf, orm_injection, xxe)
- **36 extractors** including:
- Security: weak_crypto, command_injection, sql_injection, high_entropy_secrets, auth_bypass, insecure_cookies, path_traversal, unvalidated_redirects, weak_password, security_headers, insecure_deserialization, ssrf, orm_injection, xxe
- Framework-specific: django, express, flask, fastapi, nestjs, nextjs, spring, laravel, rails, aspnet
- Trust Packs: signed policy bundles with import/export
- Ephemeral mode: 40x faster for CI
- Observation write-back: `--sync` records novel claims as Tier 4 project memory
- **Autonomous promotion**: High-confidence patterns (>0.95, 10+ projects) can skip human review with full audit trail
- **Shadow mode testing**: Auto-promoted extractors run in shadow mode to measure FP rate before graduation
- **Auto-rollback**: Shadow extractors exceeding FP threshold (15%) are automatically rolled back
- Drift detection: Detects changes from prior observations
- Staged scanning: `--staged` flag for fast pre-commit hooks
- Hosted mode: Team aggregation via central StemeDB server
@ -1571,11 +1853,13 @@ contribute_patterns = true # Share patterns to community
- Community Corpus: Opt-in anonymous pattern sharing with privacy-preserving anonymization
- Declarative Extractors: TOML-defined custom extractors without Rust code
- LLM Extraction: Gemini-powered semantic claim extraction for high-value files
- Enterprise Extractors: High-entropy secrets, auth bypass, insecure cookies, path traversal, unvalidated redirects, weak passwords, security headers, insecure deserialization, SSRF, ORM injection, XXE
- Pattern Learning: LLM-extracted claims recorded for promotion to declarative extractors
- Pattern Promotion: CLI workflow to promote learned patterns to declarative extractors with Gemini regex generation and validation
- **LLM Prompt Evaluation**: Golden fixtures with precision/recall metrics, baseline comparison, and regression detection for prompt engineering
- **Cross-Project Learning**: Privacy-preserving pattern sync to hosted server, community extractor pull, BLAKE3-based deduplication, opt-in sharing with `CrossProjectConfig`
- **Extractor Versioning**: Version tracking with changelogs, safe rollback to previous versions, A/B metrics comparison between versions via `VersionStore`
**Next:** Phase 8 (full) → 9 (Self-Learning Extraction System)
**Phase 9 Complete!** Autonomous Generation pipeline is fully self-improving.
### The Self-Learning Vision
@ -1588,9 +1872,20 @@ Phase 7.6: Pattern Learning (remember what LLM finds) ✅ COMPLETE
↓
Phase 7.7: Pattern Promotion (patterns → extractors) ✅ COMPLETE
↓
Phase 8: Enterprise Extractors (generated + curated) ✅ MVP (8.1, 8.6, 8.11)
Phase 7.8: LLM Prompt Evaluation (measure & improve) ✅ COMPLETE
↓
Phase 9: Autonomous Generation (fully self-improving) ⬜ NEXT
Phase 8: Enterprise Extractors (36 total) ✅ COMPLETE
├── 8.1: High-entropy secrets ✅
├── 8.2: Framework extractors (10 frameworks) ✅
├── 8.3: Config deep parsing ✅
├── 8.4-8.11: Security patterns ✅
↓
Phase 9: Autonomous Generation (fully self-improving) ✅ COMPLETE
├── 9.1: Autonomous Promotion ✅ COMPLETE
├── 9.2: Shadow Mode Testing ✅ COMPLETE
├── 9.3: Auto-Rollback ✅ COMPLETE
├── 9.4: Cross-Project Learning ✅ COMPLETE
└── 9.5: Extractor Versioning ✅ COMPLETE
```
**The endgame:** Every PR teaches Aphoria. After a month, it knows your security patterns better than your team does.
@ -1661,11 +1956,30 @@ max_length = 200 # Maximum string length
---
### 8.2 Framework-Specific Extractors ⬜
### 8.2 Framework-Specific Extractors ✅
**Impact:** HIGH | **Effort:** HIGH
**Impact:** HIGH | **Effort:** HIGH | **Status:** Complete
Generic patterns miss framework-specific misconfigurations. Enterprise codebases use frameworks.
**Research Document:** [`docs/architecture/framework-security-extractors.md`](./docs/architecture/framework-security-extractors.md)
All 10 framework-specific extractors implemented and tested:
| Framework | Extractor | Languages | Tests |
|-----------|-----------|-----------|-------|
| Spring Boot | `spring_security` | Java, YAML, Properties | 7 |
| Django | `django_security` | Python | 7 |
| Express.js | `express_security` | JavaScript, TypeScript | 5 |
| Rails | `rails_security` | Ruby, YAML | 6 |
| ASP.NET Core | `aspnet_security` | C# (via regex), JSON | 6 |
| Laravel | `laravel_security` | PHP (via regex) | 5 |
| FastAPI | `fastapi_security` | Python | 5 |
| Next.js | `nextjs_security` | JavaScript, TypeScript | 5 |
| Flask | `flask_security` | Python | 6 |
| NestJS | `nestjs_security` | TypeScript | 5 |
**Total:** 10 extractors, 57+ tests, 100+ patterns
**Files:** `extractors/{django,express,flask,fastapi,nestjs,nextjs,spring,laravel,rails,aspnet}_security.rs`
#### 8.2.1 Spring Boot Security
```yaml
@ -1714,38 +2028,33 @@ config.action_dispatch.cookies_same_site_protection = :none
---
### 8.3 Config File Deep Parsing ⬜
### 8.3 Config File Deep Parsing ✅
**Impact:** HIGH | **Effort:** MEDIUM
**Impact:** HIGH | **Effort:** MEDIUM | **Status:** Complete
Current extractors use regex on config files. This misses:
- Nested structures
- Environment-specific overrides
- Comments that disable security
| Task | Status |
|------|--------|
| `ConfigValue` enum | ✅ `extractors/config_parser.rs` |
| YAML/JSON/TOML parsers | ✅ Using `serde_yaml`, `serde_json`, `toml` |
| Tree walker with path tracking | ✅ `walk_config()` with dot-path |
| `ConfigSecurityExtractor` | ✅ `extractors/config_security.rs` |
| Security rules (11 rules) | ✅ TLS, CSRF, debug, password, cookies, CORS, rate limit |
| Dev file exclusion | ✅ Skip debug warnings in dev/test configs |
| Tests | ✅ 26 tests for parsing + security rules |
**Implementation:**
```rust
// Parse YAML/JSON/TOML into structured form
enum ConfigValue {
String(String),
Number(f64),
Bool(bool),
Array(Vec<ConfigValue>),
Object(HashMap<String, ConfigValue>),
}
**Patterns now caught (nested to any depth):**
- `*.tls.verify: false` — TLS verification disabled
- `*.insecure_skip_verify: true` — Skip verification enabled
- `*.security.enabled: false` — Security disabled
- `*.csrf.enabled: false` — CSRF protection disabled
- `debug: true` — Debug mode (only in production files)
- `*.password.min_length < 8` — Weak password policy
- `*.cookie.secure: false` — Cookie secure flag disabled
- `*.cookie.httpOnly: false` — Cookie httpOnly disabled
- `*.cors.allow_origin: "*"` — CORS allows all origins
- `*.rate_limit.enabled: false` — Rate limiting disabled
// Then extract with path awareness
fn extract_config_claims(config: &ConfigValue, path: &[String]) -> Vec<ExtractedClaim> {
// Recursively walk structure
// Track full path: "server.tls.min_version"
// Apply semantic rules based on path
}
```
**Patterns to catch:**
- `tls.verify: false` anywhere in hierarchy
- `security.enabled: false` in production configs
- `debug: true` or `DEBUG: true` in non-dev files
**Languages:** YAML, JSON, TOML
---
@ -2193,7 +2502,7 @@ async fn extract_with_llm(code: &str, file: &str) -> Vec<ExtractedClaim> {
|-------|------------|--------|--------|------------------|--------|
| **8.1** | High-entropy secrets | HIGH | MEDIUM | Catches real leaked secrets | ✅ |
| **8.2** | Framework-specific | HIGH | HIGH | Spring/Django/Express coverage | ⬜ |
| **8.3** | Config deep parsing | HIGH | MEDIUM | Nested YAML/JSON understanding | ⬜ |
| **8.3** | Config deep parsing | HIGH | MEDIUM | Nested YAML/JSON understanding | ✅ |
| **8.4** | Semantic TLS | MEDIUM | MEDIUM | Catches const TLS_MIN = "1.0" | ✅ |
| **8.5** | ORM SQL injection | MEDIUM | MEDIUM | SQLAlchemy, Django, Sequelize | ✅ |
| **8.6** | Auth bypass | HIGH | MEDIUM | Backdoors, hardcoded creds | ✅ |
@ -2207,11 +2516,10 @@ async fn extract_with_llm(code: &str, file: &str) -> Vec<ExtractedClaim> {
| **8.14** | Weak passwords | MEDIUM | LOW | MIN_LENGTH = 4 | ✅ |
| **8.15** | LLM extraction | VERY HIGH | VERY HIGH | Semantic understanding | ✅ (Phase 7.5) |
**Phase 8 Complete (8.1, 8.4, 8.5-8.14):** All first-pass extractors implemented. 12 of 14 Phase 8 extractors complete.
**Phase 8 Complete (8.1, 8.3, 8.4, 8.5-8.14):** All first-pass extractors implemented. 13 of 14 Phase 8 extractors complete.
**Remaining deferred extractors:**
1. **8.2** Framework-specific (HIGH effort - Spring, Django, Express, Rails)
2. **8.3** Config deep parsing (HIGH effort - YAML/JSON AST parsing)
---
@ -2225,3 +2533,143 @@ async fn extract_with_llm(code: &str, file: &str) -> Vec<ExtractedClaim> {
| Framework coverage | 0 | 4 major | Spring, Django, Express, Rails |
| Enterprise pilot feedback | N/A | >4/5 | Post-pilot survey |
---
## Phase 10: UX & Enterprise Polish ⬜
> **Goal:** Address enterprise buyer feedback from pilot demos. Close gaps between pitch claims and actual functionality.
> **Source:** Skeptical buyer review of `applications/aphoria-pitch/` materials.
### 10.1 Acknowledgment Expiry ✅
**Impact:** HIGH | **Effort:** MEDIUM | **Priority:** P1
Add `--expires` flag to `aphoria ack` command for time-limited exceptions.
| Task | Status |
|------|--------|
| Add `expires_at: Option<String>` to `AcknowledgmentInfo` struct (ISO 8601 format) | ✅ |
| Add `--expires` CLI flag to `Commands::Ack` in `cli.rs` | ✅ |
| Parse durations: `--expires 90d`, `--expires 2026-12-31` (ISO 8601 date only) | ✅ |
| Filter expired acks in `check_conflicts()` | ✅ |
| Show "Ack expired, resurfaces as BLOCK" in output | ✅ |
| Add expiry to JSON export for audit trail | ✅ |
| Tests for expiry parsing and behavior | ✅ |
**Implementation Notes:**
- Created `src/expiry.rs` module with `parse_expiry()`, `is_expired()`, and `format_expiry()` functions
- Ack payloads stored as JSON with `{reason, expires_at}` for backwards compatibility
- Legacy plain-text acks treated as permanent (no expiry)
- Expired acks preserved for audit trail per patent claim 25
- Updated all report formatters (table, JSON, markdown) to show expiry info
**CLI changes (`cli.rs`):**
```rust
Ack {
concept_path: String,
#[arg(short, long)]
reason: String,
/// Optional expiry (e.g., "90d", "2026-12-31")
#[arg(long)]
expires: Option<String>,
},
```
**Usage:**
```bash
# Expire after 90 days
aphoria ack code://go/auth/tls/cert_verification \
--reason "Integration test environment" \
--expires 90d
# Expire on specific date (ISO 8601)
aphoria ack code://go/auth/tls/cert_verification \
--reason "Legacy migration - ends Q2" \
--expires 2026-12-31
```
**Output after expiry:**
```
BLOCK code://go/auth/tls/cert_verification
Your code: TLS certificate verification is disabled (main.go:12)
Note: Previous acknowledgment expired 2026-12-31
Action: Re-acknowledge or fix the issue
```
**Enterprise Value:** "Exceptions don't become permanent." SOC 2 auditors love time-limited exceptions because they force periodic review.
---
### 10.2 Human-Readable Signer Names ⬜
**Impact:** MEDIUM | **Effort:** MEDIUM | **Priority:** P2
Map issuer hex IDs to human-readable team names in output.
| Task | Status |
|------|--------|
| Add `signer_name: Option<String>` to `PackHeader` | ⬜ |
| Add `contact: Option<String>` to `PackHeader` (Slack channel, email) | ⬜ |
| Update `policy export/import` to preserve new fields | ⬜ |
| Show "Signed by Platform Security Team" instead of hex in output | ⬜ |
| Show contact info in conflict output | ⬜ |
| Backward-compat: gracefully handle packs without new fields | ⬜ |
**Output with signer name:**
```
BLOCK code://go/auth/tls/cert_verification
Your code: TLS certificate verification is disabled (main.go:12)
Source: Acme Security Standard v3.2 (Platform Security Team)
Contact: #security-policy
Action: Fix or acknowledge with: aphoria ack <path> --reason "..."
```
**Enterprise Value:** Developers know who to contact. Auditors see clear attribution.
---
### 10.3 Speed Benchmarks ⬜
**Impact:** LOW | **Effort:** LOW | **Priority:** P3
Document and automate speed benchmark testing.
| Task | Status |
|------|--------|
| Create `benchmarks/` directory with test corpora | ⬜ |
| Automate `time aphoria scan` on standard corpus | ⬜ |
| Document test conditions in benchmark results | ⬜ |
| Add `aphoria scan --benchmark` flag for self-test | ⬜ |
| Include benchmarks in CI (optional, non-blocking) | ⬜ |
**Usage:**
```bash
# Run benchmark on current directory
aphoria scan --benchmark
# Output includes timing breakdown
Benchmark Results:
Files scanned: 767
Lines of code: 187,918
Claims extracted: 722
Conflicts found: 186
Total time: 652ms
- File discovery: 45ms
- Extraction: 487ms
- Conflict query: 120ms
```
**Enterprise Value:** "Show me the benchmark on a 100K-line codebase" → `aphoria scan --benchmark`
---
### Phase 10 Completion Criteria
| Metric | Target |
|--------|--------|
| Ack expiry working with 90d default | ✓ |
| Demo output matches pitch slides exactly | ✓ |
| Buyer can see who signed a policy (name, not hex) | ✓ |
| Buyer can see how to contact policy owner | ✓ |
| Speed benchmarks documented and reproducible | ✓ |