Megan Goins

Lead SOAR Engineer at DeepSeas

Megan Goins is a skilled cybersecurity professional with extensive experience in Security Orchestration, Automation, and Response (SOAR). Currently serving as Lead SOAR Engineer at DeepSeas since December 2022, Megan previously held the same title at Booz Allen Hamilton from August 2018 to December 2022. At Booz Allen, responsibilities included developing integrations and playbooks, enhancing analyst workflows, and acting as a knowledge resource for various cybersecurity tools. Megan also served as Cyber Intrusion Analysis Lead, overseeing a team of eight analysts and providing supervision and training, as well as functioning as an escalation pathway for security operations center (SOC) analysts. Megan holds a degree in Computer Science and Engineering with a focus on Information and Computation Assurance from The Ohio State University, completed in 2019, and graduated from Loveland High School in 2015.

Location

Loveland, United States

Links

Previous companies


Org chart

No direct reports

Teams


Offices

This person is not in any offices


DeepSeas

Bringing 30 years of experience to over 350 clients, DeepSeas is the first and only Managed Detection and Response provider that covers the entire converged attack surface for the mid-market, including OT, IT, cloud, and mobile. DeepSeas brings calm and clear minds to our customers by patrolling the cyberseas and removing harm from their environments. Our mission is to be the world’s deepest cyber defense services and threat analytics organization. Named the most innovative global MDR service provider by Frost & Sullivan, over 350 active customers trust DeepSeas to activate, operate, and optimize cyber security managed detection and response (MDR) programs. The DeepSeas full-spectrum cyber threat monitoring service is award winning and backed by world-renowned researchers, data scientists, and mathematicians who have published over 250 papers and created a broad base of intellectual property, while achieving a number of scientific breakthroughs in the areas of Big Data, Machine Learning and Artificial Intelligence as it applies to the detection of advanced and unknown cyber threats.