Maaz Jawed

Background

About Maaz Jawed

I am an experienced Security Analyst and Detection Engineer with a strong foundation in Computer Science. Throughout my career, I’ve developed and implemented high-fidelity detection systems that reduce noise, improve operational efficiency, and mitigate security risks across cloud platforms such as Azure, AWS, and GCP. At Arctic Wolf Networks, I excelled in roles where I was awarded the #1 most recognized employee by peers. As a Security Analyst, I improved triage processes and helped develop solutions that enhanced detection accuracy. One of my proudest achievements was participating in a hackathon as part of the security team—a rare opportunity—and seeing our idea implemented as a key internal tool. In my role as a Detection Engineer, I created and fine-tuned detection rules that have identified critical threats, including an email inbox rule that ranked #2 in true positive catches across the team. I’ve responded to critical production incidents as the subject matter expert and led efforts to improve response times and automate detection workflows, reducing manual effort by 40%. I’m well-versed in a range of technologies, including Microsoft Azure, Office 365, AWS, GCP, Kibana (SIEM), Okta, iManage and many others others. My focus has been on leveraging these tools to improve security outcomes, particularly within the Microsoft ecosystem. I’m passionate about solving complex security challenges, driving innovation, and making a tangible impact on both team morale and business outcomes.