---
title: "SharpHound Recon Attack – How AI enhanced the threat hunt"
url: https://daily.dev/posts/sharphound-recon-attack-how-ai-enhanced-the-threat-hunt-cco5a280b
source_url: https://blogs.cisco.com/security/clamer-soc-2026-sharphound
type: article
source: "Cisco"
published: 2026-07-07T18:03:26.770Z
updated: 2026-07-07T18:03:51.768Z
tags: ["security", "authentication", "agentic-ai"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# SharpHound Recon Attack – How AI enhanced the threat hunt

**[Cisco](https://daily.dev/sources/cisco)** · 8 min read · 0 upvotes · 0 comments

## Summary

At Cisco Live Americas 2026, a SOC team investigated suspicious LDAP activity potentially indicating a SharpHound Active Directory reconnaissance attack. Using an Agentic SOC architecture that combined Cisco XDR, Splunk Enterprise Security, and Endace full packet capture via a Model Context Protocol (MCP) server, they built a Tier-2 AI analyst agent that autonomously pulled incident context, retrieved relevant packets, queried Splunk logs, and produced a structured threat assessment report. The agent concluded the activity was a benign near-miss, saving hours of manual analysis. Notably, the agent self-corrected a time-field error on its second pass and wrote the lesson back into its skill file. The post details the architecture, integration approach, and how AI-assisted analysis accelerated decision-making for analysts of all experience levels.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blogs.cisco.com/security/clamer-soc-2026-sharphound>

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---

Tags: [#security](https://daily.dev/tags/security), [#authentication](https://daily.dev/tags/authentication), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/sharphound-recon-attack-how-ai-enhanced-the-threat-hunt-cco5a280b)
