Manigandan L

Cyber Security professional with practical experience across IT infrastructure administration, SOC operations, network security, and web application security, built through internships. Proficient in Palo Alto Networks firewall administration, IPSec VPN, SIEM (Splunk, Wazuh), DLP (Trellix), IDS/IPS, EDR/XDR, Active Directory & Microsoft 365 administration, and web application security testing using Burp Suite. Delivered real-world projects including an AES/RSA encrypted file-sharing platform and an ML-based Hybrid IDS/IPS system.

Network Security Engineer - Necurity Solutions

(2026-08)

• [IAM] Administer identity and access management through Active Directory and Microsoft 365, ensuring secure user authentication and access control.
• [Network Infrastructure] Manage enterprise network infrastructure including firewalls, routers, switches, DNS, and DHCP services.
• [Monitoring] Monitor infrastructure security, network availability, and system performance across Windows Server environments.
• [Troubleshooting] Perform security-focused troubleshooting involving network connectivity, authentication, endpoint communication, and access-related incidents.
• [Security Controls] Support implementation and maintenance of security controls, firewall operations, and enterprise access governance practices.

Network Security Engineer - Internship - TSK Automations - Chennai, India

(2026-03 - 2026-07)

• [Firewall Admin] Configure Palo Alto interfaces, security zones, virtual routers, static routes, and NAT across LAN/DMZ/WAN zones.
• [VPN / IPSec] Build and troubleshoot site-to-site IPSec VPN tunnels — IKE gateway, crypto profiles, proxy IDs.
• [SOC / SIEM] Monitor firewall, endpoint, and server logs (Wazuh, Splunk); review auth, brute-force, and policy alerts.
• [IAM] Integrate Palo Alto with AD via LDAP/group mapping; configure GlobalProtect VPN with SAML/MFA.

Network Security Analyst - Intern - HCL Technologies - Remote

3-Month Internship

• [IDS / IPS] Developed a Hybrid IDS/IPS combining signature-based and ML anomaly detection for real-time intrusion blocking.
• [Machine Learning] Trained Random Forest/SVM classifiers on NSL-KDD/CICIDS datasets (DoS, Probe, R2L, U2R) with high accuracy.
• [Pipeline] Designed pipeline: packet capture → feature extraction → ML classification → alert → automated IPS → SIEM ingestion.

Cyber Security Analyst - Intern - Brainovision Solutions - Hyderabad, India

(2025-05 - 2025-07)

• [VA/PT] Performed web app vulnerability assessments and manual Burp Suite testing on OWASP Top 10 (SQLi, XSS, CSRF, SSRF, IDOR).
• [SOC] Analysed Windows Event Logs, auth events, and firewall logs; triaged phishing, malware, and brute-force incidents.
• [Reporting] Prepared security assessment reports with CVSS risk ratings and remediation guidance for stakeholders.

B.E. - Cyber Security - Aarupadai Veedu Institute of Technology (2022 - 2026)