University - Summer 27, Enterprise Cybersecurity Data Loss Prevention Intern

University - Summer 27, Enterprise Cybersecurity Data Loss Prevention Intern The Opportunity:

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.

How You'll Contribute:

• 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• Assist in researching false-positive vs true-positive determination logic and review DLP policies to identify outdated or redundant rules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

Due to the nature of work performed within this facility, U.S. citizenship is required.

Join us. The world can't wait.

You Have:

• 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

Nice If You Have:

• 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

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $53,000.00 to $108,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.