Security that thinks like the attacker.

A scanner that crawls a target and surfaces the unglamorous misconfigurations that quietly cause breaches built for real audit and pentest workflows.

Recursive crawler auto-detecting 5 classes of misconfiguration: missing security headers, insecure cookies, permissive CORS, exposed sensitive files, and info disclosure across 12–15 URLs per scan.

Actionable HTML & JSON reports with a live monitoring dashboard, scan history, and remediation prioritised per finding a drop-in for an audit or pentest engagement.

A complete blue-team lab proving the detection lifecycle — from telemetry collection to alerting — against live offensive activity.

Deployed a full Wazuh SIEM stack supervising 2 agents, with real attack simulation from Kali SSH brute force and privilege escalation validated through detection and alerting.

A reproducible detection environment demonstrating end-to-end visibility from raw telemetry to triaged alert.

Securing a medical web application handling highly sensitive patient data, with access control and privacy enforced from the ground up.

Granular RBAC across 10–15 endpoints with role-based access (patient / doctor / admin), JWT authentication, and strict input validation.

A GDPR-aligned access model proving secure-by-design principles on real healthcare workflows.