University – Summer 27, Enterprise Cybersecurity Data Loss Prevention Intern

Booz Allen Hamilton•McLean, VA

12h•Remote

About The Position

As an Enterprise Cybersecurity Data Loss Prevention (DLP) Intern, you will gain hands-on experience supporting Booz Allen’s internal data protection operations in a Cyber Fusion Center (CFC) environment. You will assist with DLP policy management, incident analysis, data classification initiatives, and reporting activities to help safeguard sensitive information across the enterprise. This internship offers real-world exposure to enterprise data protection tools and processes, mentorship from experienced DLP analysts, and opportunities to put academic learning into practice.

Requirements

Knowledge of cybersecurity principles, solutions, or technologies
Knowledge of data protection concepts, including data classification and information security
Ability to work independently and collaboratively in a team environment
Scheduled to obtain a Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Security, Analytics, or Data Science by December 2028
U.S. citizenship is required

Nice To Haves

Knowledge of DLP tools such as Microsoft Purview, Trellix, or similar platforms
Knowledge of cloud security and data protection in AWS, Azure, or Google Cloud Platform
Knowledge of data privacy regulations such as GDPR, CCPA, or HIPAA
Knowledge of insider threat detection and user behavior analytics
Ability to display interest in data protection, security operations, or compliance
Possession of excellent communication and documentation skills
Possession of excellent analytical and problem-solving skills

Responsibilities

Assist in compiling monthly and quarterly DLP metrics, including blocks, alerts, and incidents into executive-ready summaries
Assist in testing detection rules in a sandbox or non-prod environment before production rollout
Assist in triaging low-severity DLP alerts following documented escalation criteria
Assist in researching false-positive vs true-positive determination logic and review DLP policies to identify outdated or redundant rules
Document lessons learned from tuning exercises or migration evaluations
Assist with data classification initiatives and user awareness activities
Participate in team meetings and contribute to discussions on emerging data protection threats and best practices
Grow communication and technical skills by partnering with senior analysts and presenting findings in team reviews