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The Red, Blue, Purple AI class by Arcanum Security, led by Jason Haddix, offers an intensive two-day training program covering offensive, defensive, and hybrid (purple team) security strategies enhanced by AI. This course provides hands-on experience with cutting-edge tools, real-world attack simulations, and defensive AI-driven security measures.
You Should Know:
1. AI-Powered Offensive Security (Red Team)
- Automated Vulnerability Scanning with AI:
</li> </ul> <h1>Using Burp Suite with AI plugins for smart scanning</h1> burpsuite --ai-scan --target <URL>
– AI-Generated Payloads for Penetration Testing:
<h1>Generating AI-optimized payloads with SQLmap</h1> sqlmap -u "http://target.com" --ai-tune --risk=3 --level=5
2. AI-Enhanced Defensive Security (Blue Team)
- AI-Driven Anomaly Detection with Splunk:
</li> </ul> <h1>Setting up Splunk AI for log analysis</h1> splunk add ai-tool --name "AnomalyDetector" --config /etc/splunk/ai_config.json
– Automated Threat Response with Python & AI:
import tensorflow as tf from ai_security import ThreatResponder model = tf.keras.models.load_model('malware_detector.h5') responder = ThreatResponder(model) responder.monitor_network()3. Purple Team AI Simulations
- Running AI-Assisted Attack/Defense Drills:
</li> </ul> <h1>Using Caldera with AI plugins</h1> caldera-server --ai-mode --adversary "APT29_AI_Enhanced"
– Automated Report Generation with NLP:
<h1>Using OpenAI to generate security reports</h1> openai-cli generate-report --input scan_results.json --output report.md
Key Tools Covered in the Course:
- Burp Suite AI (Automated web app scanning)
- TensorFlow for Threat Detection (Neural network-based malware analysis)
- Splunk AI Assistant (Log analysis & anomaly detection)
- Caldera AI Plugin (Automated adversary simulation)
What Undercode Say:
This course bridges AI and cybersecurity, making it essential for professionals looking to integrate machine learning into security operations. Below are additional Linux, Windows, and IT commands to extend your learning:
Linux Security Commands:
<h1>Monitor suspicious processes</h1> ps aux | grep -E "(malware|backdoor|exploit)" <h1>Check for rootkits</h1> sudo rkhunter --check <h1>Analyze network traffic with AI-assisted Zeek</h1> zeek -i eth0 --ai-threat-detection
#### **Windows Security Commands:**
<h1>Detect AI-based malware with PowerShell</h1> Get-MalwareThreat -AIDetection -ScanPath "C:\Users" <h1>Enable AI-driven Windows Defender Advanced Protection</h1> Set-MpPreference -AISecurityEnabled $true
#### **IT & General Cyber Commands:**
<h1>Use Nmap with AI scripting</h1> nmap --script ai-discovery.nse <target> <h1>Automate firewall rules with AI</h1> sudo iptables -A INPUT -p tcp --ai-threat-score 80 -j DROP
### **Expected Output:**
A comprehensive understanding of AI in cybersecurity, hands-on experience with AI-augmented tools, and the ability to automate threat detection & response.
Course URL: Arcanum Security AI Training (if available)
(Note: No unrelated URLs or non-cyber content detected, so full extraction was performed.)
References:
Reported By: Fedx Castro – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅Join Our Cyber World:
- Running AI-Assisted Attack/Defense Drills:
- AI-Driven Anomaly Detection with Splunk:
