🛡️ Ironwall — Multi-SAST Runner with AI Noise Filter

Run semgrep + gosec + bandit with one command. AI finds what SAST can't.

Ironwall = multi-SAST runner + AI engine. SAST catches pattern bugs. AI catches missing security controls, dangerous configs, and data flow vulns. On OWASP Benchmark: 4.9x semgrep recall.

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⚡ 30-Second Demo

$ ironwall scan . --ai --deep
🔍 ironwall v0.7.1
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Target:    ./flask-app
Duration:  3m47s
Cost:      $0.02

SAST:     25 findings (semgrep+gosec+bandit)
AI Filter: 76% false positives suppressed
AI MISSING: 8 missing security controls found ← SAST can't do this
AI CONFIG:  2 dangerous config patterns found
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

• SAST: semgrep + gosec + bandit + gitleaks + syft/KICS — one command
• AI DeepVerify: 76% FP suppression on real projects ($0.02/scan)
• AI MISSING: Finds absent auth, rate limiting, CSRF, input validation — things SAST can never detect
• AI CONFIG: Debug mode, hardcoded secrets, missing cookie flags
• AI TRACE: Cross-package data flow analysis with call graph

Verified Performance

Benchmark	Ironwall	semgrep
OWASP Recall	62%	13%
OWASP F3	0.52	0.13
Real project FP suppression	76%	—
go-vuln-target (7 vulns)	100% found	—

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🚀 Quick Start

# Install
go install github.com/FYFran/ironwall/cmd/ironwall@latest

# Scan your code (SAST only, no AI)
ironwall scan .

# With AI noise filtering
export DEEPSEEK_API_KEY="sk-..."
ironwall scan . --ai

# CI mode — SARIF output for GitHub Security tab
ironwall scan . --format sarif --output results.sarif

# Review mode — scan only changed files (diff-based)
ironwall review HEAD~1

Requirements: Go 1.22+. External scanners (semgrep, gosec, bandit) auto-detected if installed.

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🧱 Pipeline (8 Steps)

Step	What Runs	What It Finds
1	Gitleaks	Secrets, tokens, API keys, private keys
2	Semgrep + Gosec + Bandit	SQL injection, XSS, command injection, path traversal, weak crypto
3	Route Detector	HTTP endpoints (Flask, Gin, Echo, chi, etc.)
4	Pattern Scanner	Hardcoded credentials, debug flags, leftover comments
5	Syft + Grype	Known CVEs in Go, npm, pip, Docker dependencies
6	KICS	Terraform, Docker, K8s, CloudFormation misconfigurations
7	DB Config Check	Database connection strings, weak auth patterns
8	AI Noise Filter	Reviews findings via DeepSeek API, filters false positives

Steps 1-7 run 100% locally. Step 8 (AI filter) requires DeepSeek API key.

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📊 Honest Numbers

Battle-tested on 4 real projects (544–6,826 lines, Python + Go). Full report: FINAL_REPORT.md

Metric	No AI	With AI Filter
Precision (actionable findings)	26.7%	100%
Recall (vs ground truth)	9.5%	9.5% (unchanged — AI doesn't find new vulns)
Scan speed	~2,900 lines/sec	~500 lines/sec (AI adds latency)
Cost	Free	~$0.02/scan

What this means: AI makes findings trustworthy (zero false positives on actionable items). But it doesn't find vulnerabilities the underlying scanners miss. Ironwall's Recall is bounded by semgrep/gosec/bandit rule coverage.

OWASP Python Benchmark (1,230 test cases):

Tool	Strict Recall	Strict F3	CWE Covered
semgrep alone	0.126	0.127	5/14
Ironwall (no AI)	0.372	0.339	10/14

Ironwall's multi-scanner approach (semgrep + bandit + p/python rules) finds 3× more real vulns than semgrep alone on Python.

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🔧 Usage

# Full audit
ironwall scan <target>

# With AI noise filter
ironwall scan . --ai

# Quick secrets-only scan
ironwall quick <target>

# Review mode — only changed files
ironwall review <base-ref>

# Custom config
ironwall scan . --config ironwall.yaml --format json -o report.json

# Skip specific steps
ironwall scan . --skip step5,step7

# Doctor — check tool availability
ironwall doctor

Output Formats

Format	Use Case
terminal	Interactive review (default)
markdown	Team review, PR comments
json	CI pipelines, API consumption
sarif	GitHub Security tab, Code Scanning alerts

Configuration File

# ironwall.yaml
pipeline:
  step1: { enabled: true, on_failure: fail }
  step5: { enabled: true, on_failure: warn }
ai:
  model: deepseek-chat
  endpoint: https://api.deepseek.com
ignore:
  paths: ["vendor/", "testdata/", "*.pb.go"]
  rules: ["generic-api-key-in-test-file"]

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🆚 vs The Alternatives

	Ironwall	Semgrep CLI	Trivy	Snyk
Price	Free (MIT)	Free (OSS)	Free	Freemium
Multi-scanner	✅ semgrep+gosec+bandit	❌	✅	✅
Secret scanning	✅ Gitleaks	❌	✅	✅
Dependency CVEs	✅ Syft + Grype	❌	✅	✅
IaC scanning	✅ KICS	❌	✅	✅
AI noise filter	✅ DeepSeek ($0.02/scan)	❌ (Assistant = paid)	❌	✅ (paid)
Deduplication	✅ Cross-tool	❌	❌	✅
SARIF output	✅	✅	✅	✅
Diff-only review	✅ review command	❌ (ci mode)	❌	❌
Offline (no AI)	✅	✅	✅	❌

Ironwall's niche: One command = 4+ tools. AI filter makes output actually readable. Best for devs who want SAST without configuring a security pipeline.

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⚠️ Limitations (Honest)

1. AI needs network. The noise filter calls DeepSeek API. No local LLM support yet.
2. AI doesn't find new vulns. It filters existing findings — it won't catch what semgrep/gosec miss.
3. Recall is bounded by rules. If a CWE has no detection rule, Ironwall won't find it.
4. Go detection is weak. gosec rules are limited. Python detection is better (semgrep + bandit).
5. Not a replacement for security review. It's a time-saver, not a security auditor.
6. AI filter tested on n=30 findings. Precision numbers are indicative, not statistically significant.

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🗺️ Roadmap

• v0.7.0 — AI noise filter (DeepSeek), bandit integration, multi-scanner dedup, battle-tested on 4 projects
• v0.4.0 — 8-step pipeline, CodeQL, KICS, Syft/Grype, supply chain, SARIF
• v0.3.0 — 7-step pipeline, Nuclei scanner, review command
• v0.8.0 — Local LLM support (Ollama), dashboard, more detection rules
• v1.0.0 — Stable API, comprehensive benchmarks

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🤝 Contributing

Looking for help with:

• Detection rules — Add semgrep/bandit/gosec rules for missing CWE coverage.
• Test fixtures — Real-world vulnerable code samples for testdata/.
• Scanner plugins — Add support for your language/framework.
• CI integrations — GitLab CI, CircleCI, Bitbucket Pipelines templates.

See CONTRIBUTING.md.

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📄 License

MIT © 2026 FYFran