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Cyber Security: Threat Modeling

Practical strategies for mapping attack surfaces, identifying trust boundaries, and prioritizing mitigations using STRIDE and data-flow diagrams.

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AI Systems: Secure ML Pipelines

Hardening data ingestion, model artifacts, and serving endpoints against poisoning, prompt injection, and supply-chain risks.

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Networking: From Packets to Posture

Analyzing traffic with Wireshark, building playbooks for incident response, and visualizing flows in a zero-trust network design.

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Programming: Secure by Default

Defensive coding patterns, input validation, secrets management, and CI policies that prevent vulnerabilities before they reach production.

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Blue Teaming: Detection Engineering

Building resilient detections with Sigma and SIEM, tuning noise, and validating efficacy with adversary emulation.

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