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Agentic AI Journeys: Planning, Coding, and Deployment | Data Exposed

YouTube-Video: Author: Microsoft Developer - Bewertung: 1x - Views:18 What if you could go from idea to running in Azure and stay focused on your actual…

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Author: Microsoft Developer - Bewertung: 1x - Views:18

What if you could go from idea to running in Azure and stay focused on your actual product the entire time? With AI agents and skills handling the code and infrastructure (Bicep templates, health probes, database wiring, deployment pipelines, etc.), you can spend your time on what makes your app interesting instead of what makes it run. In this episode, Dan Wahlin discusses how to make that a reality and get an iPhone app built out that calls into Microsoft Foundry and Azure SQL. You’ll learn about the importance of planning (and iterating over a plan), building out code, creating infrastructure code, and deployment to Azure.



✅ Chapters:

0:46 Intro to agentic workflows and why they matter

2:45 Demo overview, a smart TODO application

3:25 Azure SQL Database as the data store for the application

4:20 See the smart TODO in action that uses AI to generate steps for TODO and stores in a database

5:00 MSSQL extension for VS Code to see the data in the database from the app

6:30 Each journey has a planning document and various phases

7:25 GitHub Copilot CLI and /plan

8:46 What actually got deployed in the Azure portal

9:15 Journey runner skill

11:50 Final tips and tricks and the /review



✅ Resources:

Agentic Journeys Repo: https://aka.ms/agentic-journeys

Azure Skills Plugin: https://github.com/microsoft/azure-skills

SQL Server Extension for VS Code: https://marketplace.visualstudio.com/items?itemName=ms-mssql.mssql



📌 Let's connect:

Dan Wahlin

X: https://x.com/danwahlin

LinkedIn: https://linkedin.com/in/danwahlin



Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna

Twitter - AzureSQL, https://aka.ms/azuresqltw



🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt



🔔 Subscribe to our channels for even more SQL tips:

Microsoft Azure SQL: https://aka.ms/msazuresqlyt

Microsoft SQL Server: https://aka.ms/mssqlserveryt

Microsoft Developer: https://aka.ms/microsoftdeveloperyt



#AzureSQL #SQL #LearnSQL

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - Agentic AI Journeys: Planning, Coding, and Deployment | Data Exposed
id: 3b62b6e0-b769-43ae-8ab5-e50201a9d61d
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "Agentic AI Journeys: Planning," ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Agentic AI Journeys Planning Coding and ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Agentic AI Journeys Planning Coding and *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Agentic AI Journeys Planning Coding and "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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