<!-- Copyright (c) 2026 defconxt. All rights reserved. -->
<!-- Licensed under AGPL-3.0 — see LICENSE file for details. -->
<!-- NERF is a trademark of defconxt. -->

---
id: imp-d9261de1
title: Implementing Siem Rule Tuning
description: >
  Tune SIEM detection rules to reduce false positives and improve detection fidelity.
mode: BLUE
tags:
  - log-analysis
  - siem
  - rule-tuning
  - detection
metadata:
  mitre-attack: []
---

# Implementing Siem Rule Tuning

> **`[MODE: BLUE]`** — Tune SIEM detection rules to reduce false positives and improve detection fidelity.

## Quick Reference

```bash
# Run the implementing-siem-rule-tuning agent
node scripts/agent.js --target <TARGET> --mode audit

# Generate a report
node scripts/agent.js --target <TARGET> --mode report --output report.json

# Analyze with verbose output
node scripts/agent.js --target <TARGET> --mode scan --verbose
```

## Overview

Implementing Siem Rule Tuning is a critical security technique that addresses
common security risks in modern environments. This skill provides automated
tooling and structured methodology for practitioners to tune siem detection rules to reduce false positives and improve detection fidelity

### Key Concepts

- **Identification**: Detect relevant indicators and patterns
- **Analysis**: Evaluate severity and business impact
- **Remediation**: Apply targeted fixes with verification
- **Monitoring**: Establish ongoing detection coverage

## Workflow

### Phase 1 — Discovery

Enumerate the target environment and identify the attack surface
relevant to implementing-siem-rule-tuning.

```bash
node scripts/agent.js --target <TARGET> --mode audit --phase discovery
```

**Expected output**: JSON inventory of identified targets and initial findings.

### Phase 2 — Analysis

Perform deep analysis of discovered items to determine risk level
and exploitability.

```bash
node scripts/agent.js --target <TARGET> --mode scan --phase analysis
```

**Expected output**: Categorized findings with severity ratings.

### Phase 3 — Remediation

Apply recommended fixes and generate compliance evidence.

```bash
node scripts/agent.js --target <TARGET> --mode report --phase remediation
```

**Expected output**: Remediation report with before/after comparison.

## Verification

### Automated Verification

```bash
# Verify remediation was applied correctly
node scripts/agent.js --target <TARGET> --mode audit --verify

# Run regression check
node scripts/agent.js --target <TARGET> --mode scan --regression
```

### Manual Verification Checklist

- [ ] All identified issues have been addressed
- [ ] Remediation does not break functionality
- [ ] Detection rules are deployed and tested
- [ ] Documentation is updated with findings
- [ ] Stakeholders have been notified of changes

### Validation Criteria

| Check | Expected Result | Tool |
|-------|----------------|------|
| Configuration audit | No critical findings | `agent.js --mode audit` |
| Regression test | All tests pass | `agent.js --verify` |
| Detection coverage | Rules firing on test data | SIEM validation |

## Detection Opportunities

When operating in BLUE mode, consider these detection angles:

- Monitor for configuration changes related to implementing-siem-rule-tuning
- Alert on anomalous patterns that indicate exploitation attempts
- Correlate findings with threat intelligence feeds
- Baseline normal behavior to identify deviations

## References

- [MITRE ATT&CK](https://attack.mitre.org/) — Technique mapping
- [CIS Benchmarks](https://www.cisecurity.org/cis-benchmarks) — Hardening standards
- [NIST SP 800-53](https://csrc.nist.gov/publications/detail/sp/800-53/rev-5/final) — Security controls
- [OWASP](https://owasp.org/) — Web application security guidance
- See also: `references/api-reference.md` for API documentation
