Application Security Intern - GPSU/NE

As part of the GPSU program, GuidePoint Security is seeking an Application Security Intern to support its Northeast region. The role offers hands-on experience across three core areas: AppSec tool management, manual code review, and AI harness development. The intern will work under direct mentorship from experienced practitioners on real work, not simulations, with the NE AI and AppSec teams as part of the NE DevSecOps team, and may participate in limited client-facing engagements under mentorship. Prior directly related experience is not required. This position is not available for candidates living in Alaska, California, Hawaii, New Mexico, New York, Oregon, Washington and Wyoming.

Responsibilities

Build and iterate on AI-assisted security harnesses under mentorship, including prompt design, tool integration, and output validation; Develop AI-driven workflows for security reporting, findings documentation, and evidence collection; Research and evaluate emerging AI models and frameworks applicable to application security workflows; Contribute to prototype builds that integrate LLM APIs into AppSec tooling and testing pipelines; Participate in agentic pentesting tool evaluations, documenting findings and supporting harness refinement; Operate and configure SAST, DAST, SCA, IAST, and RASP tools under mentorship; Triage and validate findings from automated security tools, distinguishing true positives from false positives; Support tool configuration, tuning, and integration tasks within CI/CD pipelines and SDLC workflows; Assist in evaluating and benchmarking emerging AppSec tools, including agentic pentesting platforms; Participate in client-facing tool discussions and shadowed engagements under mentorship; Review application source code for common vulnerability classes including injection flaws, authentication weaknesses, and insecure data handling; Perform manual code review under mentorship across multiple languages, applying OWASP and secure coding standards; Document findings with supporting evidence, risk context, and remediation guidance; Collaborate with the AppSec team to correlate manual review findings with automated tool output; Shadow client code review engagements and contribute to findings documentation under mentorship

Requirements

Currently enrolled, or recently graduated with a degree in computer science, software engineering, or a related engineering field, or equivalent demonstrated by significant hands-on experience with multiple programming languages; Exposure to one or more programming languages (Python, JavaScript, Java, or similar) and interest in reading and analyzing code; Demonstrated interest in AI tools and their application to security workflows; Strong written and verbal communication skills, with the ability to document findings and present results to technical audiences; Technical aptitude and eagerness to learn hands-on in a fast-paced, practitioner-led environment; Be physically located within the United States during the entire duration of the internship; Work 25-29hrs/wk Monday-Friday supporting the Eastern Time Zone; Have a personal computing device and access to high-speed internet during working hours

Nice to have

Eastern/Central time zone preferred; Demonstrated interest in AI tools and their application to security workflows; Hands-on experience with multiple programming languages

Benefits

Paid internship ($20/hr) for 12 weeks, with potential for full-time employment at the conclusion of the internship; Group Medical Insurance options (full-time employees only); Group Dental Insurance (full-time employees only); 12 corporate holidays and a Flexible Time Off (FTO) program (full-time employees only); Healthy mobile phone and home internet allowance (full-time employees only); Eligibility for retirement plan after 2 months at open enrollment (full-time employees only); Pet Benefit Option (full-time employees only)