---

name: performing-threat-emulation-with-atomic-red-team description: 'Executes Atomic Red Team tests for MITRE ATT&CK technique validation using the atomic-operator Python framework. Loads test definitions from YAML atomics, runs attack simulations, and validates detection coverage. Use when testing SIEM detection rules, validating EDR coverage, or conducting purple team exercises.

' domain: cybersecurity subdomain: threat-intelligence tags:

• threat-emulation
• atomic-red-team
• mitre-attack
• adversary-emulation
• atomic-operator
• purple-team version: '1.0' author: mahipal license: Apache-2.0 nist_ai_rmf:
• MEASURE-2.7
• MAP-5.1
• MANAGE-2.4 atlas_techniques:
• AML.T0070
• AML.T0066
• AML.T0082 d3fend_techniques:
• Executable Denylisting
• Execution Isolation
• File Metadata Consistency Validation
• Content Format Conversion
• File Content Analysis nist_csf:
• ID.RA-01
• ID.RA-05
• DE.CM-01
• DE.AE-02 mitre_attack:
• T1591
• T1592
• T1593
• T1589
• T1685.002

---

Performing Threat Emulation with Atomic Red Team

When to Use

• When conducting security assessments that involve performing threat emulation with atomic red team
• When following incident response procedures for related security events
• When performing scheduled security testing or auditing activities
• When validating security controls through hands-on testing

Prerequisites

• Familiarity with threat intelligence concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Instructions

Use atomic-operator to execute Atomic Red Team tests and validate detection coverage against MITRE ATT&CK techniques.

from atomic_operator import AtomicOperator

operator = AtomicOperator()
# Run a specific technique test
operator.run(
    technique="T1059.001",  # PowerShell execution
    atomics_path="./atomic-red-team/atomics",
)

Key workflow:

1. Clone the atomic-red-team repository for test definitions
2. Select ATT&CK techniques matching your detection rules
3. Execute atomic tests using atomic-operator
4. Check SIEM/EDR for corresponding alerts
5. Document detection gaps and update rules

Examples

# Parse atomic test YAML definitions
import yaml
with open("atomics/T1059.001/T1059.001.yaml") as f:
    tests = yaml.safe_load(f)
for test in tests.get("atomic_tests", []):
    print(f"Test: {test['name']}")
    print(f"  Platforms: {test.get('supported_platforms', [])}")