Hi, I’m Kanika — a Thai cybersecurity student currently pursuing B.Tech CSE (Cybersecurity) at the National Forensic Science University in India. I’m an ICCR Scholar with strong interests in risk management, security monitoring, GRC, and cloud security.
I enjoy building practical tools that protect real people, especially tools that reduce the impact of social engineering scams. I’m currently exploring SIEM, threat intelligence, detection engineering, cloud security, and incident response.
- Python, C, SQL, Java, Bash
- Network Security: Wireshark, Nmap
- Cloud Security: AWS IAM, Security Groups, CloudTrail, CloudWatch
- SIEM & Log Analysis: Graylog, Splunk (Basic), Grafana, Datadog, Graylog
- Threat Modeling: MITRE ATT&CK alignment, event correlation
- AppSec OWASP Top 10 understanding, API security basics
- Linux, Windows, MacOS
- Adaptability, Continuous Learning, Problem-solving, Writing Skills, Project Management
- Risk assessments
- Security auditing
- Compliance frameworks (NIST, ISO 27001, CIS, PCI DSS)
- Creating KRIs and risk documentation
- Policy & Procedure writing
- Incident reporting lifecycle
- Log analysis
- Event correlation
- Network traffic analysis
- Alert creation & tuning
A tool that analyzes real-time phone call audio and identifies potential vishing (voice phishing) risks using AI. Supports English and Thai. Designed to help users recognize scam calls instantly.
A hands-on security monitoring environment using Wazuh, Graylog, Grafana, and open-source threat intel tools. Used for log ingestion, rule testing, dashboarding, and understanding SOC operations.
Tech: Wazuh, Graylog, Grafana, Docker