Individual skill
performing-deception-technology-deployment
Deploys deception technology including honeypots, honeytokens, and decoy systems to detect attackers who have bypassed perimeter defenses, providing high-fidelity alerts with near-zero false positive rates. Use when SOC teams need early warning of lateral movement, credential abuse, or internal reconnaissance by deploying convincing traps across the network.
skills/performing-deception-technology-deployment/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 35,897
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- soc Declared skill tag
- deception Declared skill tag
- honeypot Declared skill tag
- honeytoken Declared skill tag
- canary Declared skill tag
- lateral-movement Declared skill tag
- detection Declared skill tag
- devops Derived category
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# Performing Deception Technology Deployment
## When to Use
Use this skill when:
- SOC teams need high-fidelity detection of post-compromise lateral movement with near-zero false positives
- Existing detection tools miss advanced attackers who avoid triggering threshold-based alerts
- The organization wants to detect credential abuse by planting fake credentials as honeytokens
- Network segmentation gaps need compensating detection controls
**Do not use** as a replacement for fundamental security controls (patching, EDR, network segmentation) — deception is a detection layer, not a prevention mechanism.
## Prerequisites
- Network segments identified for honeypot/decoy deployment (server VLANs, DMZ, OT networks)