T1AI-Augmented Recon & OSINT
Reconnaissance and OSINT
Mapping a target before you touch it: passive open-source intelligence and light active probing to find the attack surface, the people, and the soft spots, with an AI copilot to correlate and summarise, and a discipline for catching what it invents.
Foundational5 min readfoundation streamUpdated Sat Aug 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Part ofAI-Augmented Recon
Learning objectives
- Distinguish passive from active reconnaissance and know why you start passive
- Identify the categories of intelligence worth hunting and why each matters
- Apply core OSINT techniques from DNS and certificate transparency to breach data
- Use an AI copilot to correlate and summarise attack surface without trusting it blindly
- Turn recon output into a verified, deduplicated target list for the rest of the engagement
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