Application Security Intern
G
GuidePoint SecurityApplication security
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; Eastern/Central time zone preferred.InternshipEntry
Salary20 USD per hour
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Job Details
- Required Skills
- PythonJavaJavascript
Requirements
- Be currently enrolled in or recently graduated with a degree in computer science, software engineering, or a related engineering field, or demonstrate significant hands-on experience with multiple programming languages.
- Have exposure to one or more programming languages, such as Python, JavaScript, or Java, and an interest in reading and analyzing code.
- Demonstrate interest in AI tools and their application to security workflows.
- Have strong written and verbal communication skills, including the ability to document findings and present results to technical audiences.
- Be physically located within the United States throughout the internship.
- Work 25-29 hours per week, Monday through Friday, supporting the Eastern Time Zone.
- Have a personal computing device and access to high-speed internet during working hours.
Responsibilities
- Build and iterate on AI-assisted security harnesses, including prompt design, tool integration, and output validation.
- Develop AI-driven workflows for security reporting, findings documentation, and evidence collection.
- Research and evaluate AI models, frameworks, AppSec tools, and agentic pentesting platforms.
- Integrate LLM APIs into AppSec tooling and testing pipelines through prototype builds.
- Operate and configure SAST, DAST, SCA, IAST, and RASP tools under mentorship.
- Triage and validate automated security tool findings, distinguishing true positives from false positives.
- Support tool configuration, tuning, and integration in CI/CD pipelines and SDLC workflows.
- Review application source code for vulnerabilities and document findings, evidence, risk context, and remediation guidance.
- Correlate manual code review findings with automated tool output.
- Participate in client-facing tool discussions and shadowed engagements under mentorship.
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