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The security industry has been discussing AI in the SOC for years, often as hype. At Hunters, we believe AI is more than just copilots or LLMsāit’s about creating intelligent automation that transforms how security teams detect, investigate, and respond to threats. Introducing Pathfinder AI, the first AI SOC that combines Agentic AI and Copilot AI to autonomously investigate threats, cut through noise, and build full attack narratives in secondsāall while keeping analysts in control. This is a fundamental shift in how security teams operate: less manual work, faster response, and more precision.
Key Features of Pathfinder AI:
- Autonomous Threat Investigation: Pathfinder AI autonomously investigates threats, reducing the need for manual intervention.
- Noise Reduction: It cuts through false positives and irrelevant data to focus on real threats.
- Attack Narrative Building: It constructs complete attack narratives in seconds, providing analysts with actionable insights.
Practical Commands and Codes for SOC Automation:
1. Linux Command for Log Analysis:
grep "ERROR" /var/log/syslog | awk '{print $1, $2, $3, $6, $7}'
This command filters out error logs from the system log file, which can be useful for identifying potential security issues.
2. Python Script for Threat Detection:
import os
import re
def detect_threats(log_file):
with open(log_file, 'r') as file:
for line in file:
if re.search(r'(malware|phishing|ransomware)', line, re.IGNORECASE):
print(f"Potential threat detected: {line.strip()}")
detect_threats('/var/log/auth.log')
This script scans a log file for common threat indicators like malware, phishing, or ransomware.
3. Windows PowerShell Command for Monitoring Processes:
Get-Process | Where-Object { $_.CPU -gt 50 } | Format-Table -Property Name, CPU, Id
This PowerShell command lists processes consuming more than 50% CPU, which could indicate malicious activity.
4. Bash Script for Automated Log Archiving:
#!/bin/bash
LOG_DIR="/var/log"
ARCHIVE_DIR="/var/log/archive"
find $LOG_DIR -name "*.log" -mtime +7 -exec mv {} $ARCHIVE_DIR \;
This script archives logs older than 7 days, helping to manage storage and focus on recent logs.
What Undercode Say:
The integration of AI into SOC operations, as demonstrated by Hunters’ Pathfinder AI, marks a significant leap in cybersecurity. By automating threat detection and investigation, security teams can focus on strategic tasks rather than manual data sifting. The use of AI in SOCs is not just about efficiency; it’s about enhancing precision and response times, which are critical in today’s threat landscape.
For those looking to implement similar automation in their environments, the provided commands and scripts offer a starting point. Whether you’re analyzing logs on a Linux system, writing Python scripts for threat detection, or using PowerShell for process monitoring, these tools can help streamline your security operations.
Additionally, consider exploring more advanced tools and platforms like Splunk or ELK Stack for log management and analysis. These platforms offer extensive capabilities for automating and scaling SOC operations.
In conclusion, the future of cybersecurity lies in intelligent automation, and Pathfinder AI is a testament to that. By leveraging AI, security teams can stay ahead of threats, reduce manual workloads, and improve overall efficiency. The journey towards a fully automated SOC is just beginning, and tools like Pathfinder AI are paving the way.
Further Reading:
References:
Reported By: Uri May – Hackers Feeds
Extra Hub: Undercode MoN
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