Name: Julian Silva-Erazo

Education:
  - B.S. Computer Science & Information Security
  - John Jay College of Criminal Justice

Focus Areas:
  - SOC Operations
  - DFIR
  - Threat Hunting
  - Detection Engineering
  - Security Automation

Current Goal:
  - CompTIA Security+
  - SOC / DFIR Internship
  - Security Engineering Career Path

AI-assisted DFIR Timeline Reconstruction Platform designed to help investigators analyze evidence and reconstruct incidents faster.

• Evidence ingestion
• Timeline reconstruction
• Artifact correlation
• AI-assisted investigation workflows
• Secure file processing

Machine Learning based IDS utilizing:

• Suricata
• Python
• Random Forest
• Isolation Forest
• Attack Classification
• Anomaly Detection

Security automation platform utilizing:

• n8n
• Groq
• Hugging Face
• Airtable
• MITRE ATT&CK
• Threat Intelligence Feeds

• n8n
• Groq API
• Hugging Face
• Flowise
• AI Alert Classification
• Threat Scoring
• MITRE ATT&CK Enrichment
• Workflow Automation

Tools Used:

• ApacheBench
• Suricata
• htop
• tcpdump
• iptables
• UFW

Tools Used:

• RanSMAP Dataset
• Random Forest
• Isolation Forest
• Logistic Regression

Topics:

• Active Directory
• Kerberos
• LDAP
• RADIUS
• Group Policy
• Authentication
• Authorization

SOC Operations
█████████████████████████ 100%

Digital Forensics & Incident Response
█████████████████████████ 100%

Threat Detection
████████████████████████░ 95%

Security Automation
███████████████████████░░ 90%

Security Engineering
████████████████████░░░░░ 85%

• CompTIA Security+
• SOC Analyst or DFIR Internship
• Build Silvanyx Atlas MVP
• Expand DFIR Portfolio
• Contribute to Open Source Security Projects
• Continue Security Research

"The goal isn't to collect alerts. The goal is to understand what happened, why it happened, and how to prevent it from happening again."

⚡ Building the future of DFIR through Silvanyx ⚡