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The GISEC 2025 conference highlighted key advancements in AI-driven cybersecurity, forensic analysis, and SOC automation. Major companies showcased innovations in combating fileless malware, improving forensic investigations, and enhancing SOC operations using AI. However, concerns like false positives in AI detection were overlooked. Tools like Cynet Rootsec (agent-based) and Splunk SOAR (low-code automation with 150+ playbooks) demonstrated powerful capabilities in threat detection and response.
A notable technical demonstration by Positive Technologies revealed a Broken Authentication attack on Windows 11, requiring a PCI card connection and leaving zero traces, making detection nearly impossible.
You Should Know:
1. AI in Cybersecurity & SOC Automation
- Splunk SOAR Playbook Execution (Low-Code Automation):
Example: Run a Splunk SOAR playbook via API curl -X POST -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{"playbook_id":"incident_response_playbook"}' \ https://your-splunk-instance.com/api/playbook/execute - Detecting Fileless Malware with AI (YARA + ML Models):
yara -r /malware_samples/ --ai-scan model=fileless_detection.h5
2. Forensic Analysis with Cynet Rootsec
- Agent-Based Forensic Data Collection:
Collect memory dump from a compromised host cynet-collect --memory --output /forensics/memdump.raw
- Analyzing Attack Traces (Volatility for Windows):
volatility -f memdump.raw windows.pslist volatility -f memdump.raw windows.netscan
3. Exploiting Broken Authentication (Windows 11 PoC)
- Simulating PCI-Based Auth Bypass (Lab Setup):
Load malicious PCI driver (Requires admin) sc.exe create BrokenAuthDrv binPath= C:\attack\pci_bypass.sys sc.exe start BrokenAuthDrv
- Detecting Hidden PCI Attacks:
Check loaded kernel drivers (Linux/Win) lsmod | grep -i "suspicious_driver" driverquery /v | findstr "Unknown"
What Undercode Say:
The GISEC 2025 trends confirm that AI-powered SOCs and forensic tools are evolving rapidly, but false positives and stealthy hardware-based attacks (like PCI exploits) remain critical blind spots. Security teams must:
– Enhance log analysis with behavioral AI models.
– Monitor kernel drivers for unauthorized PCI device interactions.
– Restrict SOAR permissions to prevent overprivileged automation risks.
Expected Output:
- AI-augmented SOCs will reduce response time but may miss sophisticated fileless attacks.
- Windows 11 PCI-based exploits will rise, requiring hardware-level security checks.
- Low-code SOAR platforms will dominate, but misconfigurations could lead to large-scale breaches.
Prediction:
By 2026, AI-driven cyberattacks will bypass traditional defenses, forcing reliance on hardware-backed security (TPM/HSM) and behavioral anomaly detection.
(Note: Telegram/WhatsApp links and non-IT content removed as requested.)
References:
Reported By: Sohrab Keramat – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
