Purple teaming (emulate → detect → improve)

SkillAI & models

Run a purple-team exercise, emulate specific attacker techniques and validate detection/response end to end. Load for "purple team", detection validation, ATT&CK coverage testing, "can we detect X", or turning red-team findings into blue-team improvements. Signals: detection gaps, ATT&CK mapping, control testing.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Purple teaming (emulate → detect → improve) skill

What this skill tells your AI

The instructions your AI receives, as published by noorqureshi/sploitagent in skills/defense/defense-purple-team/SKILL.md and read by ahel’s review.

When it applies

You want to measure and improve detection, not just find bugs. Purple teaming runs known attacker techniques in a controlled way and checks whether each is prevented, detected, and responded to — closing the loop between offense and defense.

Why it works

Detections are only real if they fire on the actual technique. Emulating each technique and watching the telemetry proves coverage, exposes blind spots, and produces tuned detections — turning "we think we'd catch it" into evidence.

Method

  1. Pick techniques from real risk: map to MITRE ATT&CK, prioritized by your threat model (→ defense-threat-modeling) and recent red-team/pentest findings.
  2. Emulate safely: run controlled tests — Atomic Red Team (per-technique atomics) or CALDERA (chained) in a lab/segmented env. One technique at a time, documented.
  3. Observe the pipeline: for each, check — was it prevented (EDR/control)? logged (right source/fields)? detected (alert fired)? responded (triaged in time)? Record the gap at each stage.
  4. Fix the gaps: add/tune detections (→ defense-detection-sigma), fix logging coverage, harden the control (→ defense-hardening-baseline), and improve the runbook.
  5. Re-test to confirm the detection fires and is low-FP; track ATT&CK coverage over time.

Anti-patterns

  • Running noisy tools blindly instead of specific, mapped techniques — you learn nothing measurable.
  • Declaring "detected" without checking the alert actually fired and was actionable.
  • One-and-done — coverage decays; re-run after infra/detection changes.

Verify

For each emulated technique: a documented prevent/detect/respond result, a new or tuned detection for every gap, and a re-test showing it now fires cleanly.

References

MITRE ATT&CK; Atomic Red Team; MITRE CALDERA; "purple team exercise framework" (SCYTHE).

Signals

GitHub stars
20
Forks
7
Last commit
Sep 2026
Advanced
Item type
skill
Key
defense-purple-team
Source
github.com/noorqureshi/sploitagent