Microsoft Security Copilot Agents Go Live: 5 Game-Changing AI Tools for Network Forensics, Log Engineering, and Threat Hunting + Video

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Introduction:

Microsoft Security Copilot is revolutionizing security operations by integrating generative AI with partner-built agents that automate complex threat detection and response tasks. The newly launched Microsoft Security Store now features specialized agents such as ZADIG Smart Insights for WiFi authentication diagnostics, CPX Log Engineering for automated log parsing, and water IT’s Sign-in Investigator – all designed to reduce mean time to resolution (MTTR) and empower security teams with agentic AI workflows.

Learning Objectives:

  • Learn to deploy and interact with Microsoft Security Copilot agents for network authentication forensics and log parsing automation.
  • Implement command-line techniques (Windows/Linux) to extract and normalize security telemetry compatible with Copilot agents.
  • Configure API security and cloud hardening measures when integrating third-party agents into Microsoft Sentinel and Defender ecosystems.

You Should Know:

  1. ZADIG Smart Insights – Network Authentication WiFi Diagnostics
    This agent analyzes 802.11 authentication failures, RADIUS timeouts, and supplicant misconfigurations. It integrates with WLAN controllers and syslog feeds to provide natural language explanations of root causes.

Step‑by‑step guide (Linux & Windows):

  • Capture WiFi authentication traffic (Linux):
    `sudo tcpdump -i wlan0 -e -vvv -s 0 -w wifi_auth.pcap ‘ether proto 0x888e’`
  • Extract EAPOL messages (Windows – netsh):
    `netsh wlan show wlanreport` → generates HTML report in `%ProgramData%\Microsoft\Windows\WlanReport\`
  • Convert to JSON for Copilot ingestion:
    `tshark -r wifi_auth.pcap -T json -e wlan.fc.type -e eapol.type > auth_events.json`
  • Send to ZADIG API (example using PowerShell): 
    $body = Get-Content auth_events.json -Raw
Invoke-RestMethod -Uri "https://api.securitycopilot.microsoft.com/agents/zadig/analyze" -Method POST -Headers @{"Authorization"="Bearer $token"} -Body $body
  • Verify agent output in Security Copilot’s “Network Insights” dashboard.
  1. CPX Log Engineering & Parser Auto Generator Agent
    Manually writing log parsers for proprietary formats (e.g., Cisco ASA, Palo Alto, custom apps) is error-prone. This agent accepts a sample log line and outputs a ready-to-use Logstash or Kusto Query Language (KQL) parser.

Step‑by‑step guide:

  • Collect raw logs (Linux – journald):

`journalctl -f -n 50 –output=json > sample.log`

  • Test with a single line – send to CPX agent via REST: 
    curl -X POST https://api.securitycopilot.microsoft.com/agents/cpx/parse \
-H "Authorization: Bearer $COPILOT_TOKEN" \
-H "Content-Type: text/plain" \
-d '2025-02-18T10:23:45Z user=admin src=10.0.0.1 action=denied reason=invalid_pwd'
  • Receive parser output (KQL example): 
    let raw = "2025-02-18T10:23:45Z user=admin src=10.0.0.1 action=denied reason=invalid_pwd";
parse raw with timestamp:string " user=" user:string " src=" src:string " action=" action:string " reason=" reason:string
  • Deploy to Logstash (Linux):

Add grok filter to `/etc/logstash/conf.d/cpx_parser.conf`

`grok { match => { “message” => “%{TIMESTAMP_ISO8601:timestamp} user=%{DATA:user} src=%{IP:src} action=%{WORD:action} reason=%{GREEDYDATA:reason}” } }`
– Restart Logstash: `sudo systemctl restart logstash`

3. Paramount Threat Lens – Correlating Cross-Domain IOCs

Threat Lens consumes threat intelligence feeds, internal proxy logs, and EDR telemetry to highlight attack paths. It requires properly formatted STIX/TAXII or JSON lines.

Step‑by‑step guide (API security & cloud hardening):

  • Fetch IOCs from MISP (Linux):
    `curl -H “Authorization: YOUR_API_KEY” https://misp.local/attributes/restSearch/json > iocs.json`
  • Transform to Copilot event schema using jq:
    `cat iocs.json | jq ‘.[] | {indicator: .value, type: .type, confidence: .confidence}’ > threat_lens_input.json`
  • Authenticate to Threat Lens agent – use Azure Managed Identity (no secrets in code): 
    $token = (Get-AzAccessToken -ResourceUrl "https://securitycopilot.azure.com").Token
  • Send bulk request (Windows): 
    Invoke-RestMethod -Uri "https://api.securitycopilot.microsoft.com/agents/paramount/correlate" -Method POST -Headers @{"Authorization"="Bearer $token"} -Body (Get-Content threat_lens_input.json -Raw) -ContentType "application/json"
  • Harden API calls by restricting to trusted IPs via Azure API Management policy.
  1. water IT Sign-in Investigator – Analyzing Failed Authentications
    This agent correlates Azure AD sign-in logs, on-prem AD DS events, and VPN logs to explain “why” a login failed (e.g., conditional access policy, expired password, location block).

Step‑by‑step guide (Windows & Linux):

  • Extract Azure AD sign-ins (PowerShell with Microsoft Graph): 
    Connect-MgGraph -Scopes "AuditLog.Read.All"
Get-MgAuditLogSignIn -Filter "createdDateTime ge 2025-02-17" -Top 100 | ConvertTo-Json > signins.json
  • Pull local AD failures (Domain Controller):
    `Get-WinEvent -LogName Security | Where-Object {$_.Id -eq 4625} | Select-Object TimeCreated, Message`
  • On Linux (VPN logs) – grep for auth failures:

`grep “auth failed” /var/log/openvpn.log | awk ‘{print $1,$2,$3,$NF}’`

  • Unify schema – ensure each event has timestamp, user, source IP, failure reason.
  • Investigate via agent – upload JSON and ask natural language: “Show all failed logins from non-corporate IPs in the last 24 hours.”
  • Automate response: create a Logic App that triggers the agent on high failure bursts.
  1. Devicie Agent – Device Compliance and Hardening Automation
    Devicie Agent continuously assesses endpoint security posture (missing patches, weak cipher suites, local admin rights) and recommends remediation scripts.

Step‑by‑step guide (Windows & Linux hardening):

  • Check Windows security baseline (LGPO):

`secedit /export /cfg secpol.inf` → review “PasswordComplexity”, “MinimumPasswordAge”.

  • Apply CIS benchmark using PowerShell DSC: 
    Configuration SecureWorkstation {
Registry "DisableLMHash" { Ensure = "Present"; Key = "HKLM:\SYSTEM\CurrentControlSet\Control\Lsa"; ValueName = "NoLMHash"; ValueData = 1; ValueType = "DWord" }
}
SecureWorkstation; Start-DscConfiguration -Wait -Verbose
  • Linux auditd monitoring – add rules to /etc/audit/rules.d/hardening.rules:

`-w /etc/passwd -p wa -k identity`

`-w /etc/ssh/sshd_config -p wa -k sshd`

  • Run Devicie assessment via agent CLI (Linux):
    `curl -X POST -H “Authorization: Bearer $DEVICIE_TOKEN” https://api.devicie.io/scan -d ‘{“os”:”ubuntu22″,”check”:”cis_level1″}’`
  • Automated remediation – agent can push a Group Policy Object (GPO) or Ansible playbook based on findings.
  1. Integrating Multiple Agents and Accessing the Microsoft Security Store
    To chain agents (e.g., ZADIG feeds anomalies into Threat Lens), use Security Copilot’s orchestration layer.

Step‑by‑step guide:

  • Browse the Security Store → https://securitystore.microsoft.com (shortened from the post’s lnkd link).
  • Install an agent – requires Azure subscription and Security Copilot license.
  • Configure API permissions – grant each agent managed identity access to Log Analytics workspaces and Sentinel.
  • Create a playbook (Azure Logic Apps) that:

1. Triggers on Sentinel incident.

2. Calls water IT Sign-in Investigator.

  1. If suspicious, invokes Devicie Agent to isolate endpoint.

– Test end-to-end with a simulated brute-force attack (Linux):
`hydra -l admin -P rockyou.txt ssh://10.0.0.5 -s 22 -t 4` → verify agents generate unified alert.

What Undercode Say:

  • Key Takeaway 1: Agentic security shifts from “alert triage” to “autonomous diagnosis” – each agent provides actionable context, not just raw logs.
  • Key Takeaway 2: The true value lies in interoperability; combining WiFi forensics (ZADIG) with sign-in analysis (water IT) reveals credential replay attacks that single-tool analysis misses.
  • Analysis: Microsoft’s partner ecosystem reduces the skill gap for junior analysts. A Level-1 SOC analyst can now ask “Why did this user fail RADIUS auth 10 times?” and receive a step‑by‑step explanation with recommended commands. However, organizations must harden API tokens and enforce least-privilege agent permissions – otherwise agents become a new attack surface.

Prediction:

By 2027, AI security agents will autonomously execute remediation (e.g., killing malicious processes, revoking session tokens) without human approval, using verifiable reasoning chains. This will force a redefinition of “incident response” – from manual runbooks to agent negotiation and consensus protocols. Expect new certifications (e.g., “Certified Agentic Security Analyst”) and a surge in demand for professionals who can write effective agent prompts and validate agent outputs against adversarial manipulation.

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