Research Security
Georgia Tech maintains a robust research security framework to safeguard sensitive information, intellectual property, and national interests. This framework applies across both the Georgia Tech Research Institute (GTRI) and academic units, with tailored protocols based on the nature of research activities.
Core Principles of Research Security
- Protection of Sensitive Data: All researchers must adhere to cybersecurity policies that ensure the confidentiality, integrity, and availability of research data.
- Compliance with Federal Regulations: Georgia Tech aligns with federal mandates such as DFARS 7012 and NIST 800-171, requiring training, disclosure, and secure handling of research information.
- Training and Awareness: Mandatory research security training is provided through Georgia Tech’s Ethics in Action and Responsible Conduct of Research (RCR) programs, ensuring faculty and staff understand ethical and security obligations.
GTRI-Specific Protocols
As a University Affiliated Research Center (UARC), GTRI enforces heightened security measures:
- Visitor Management: All visitors must check in with security, present valid ID, and receive clearance before accessing facilities.
- 24/7 Security Support: A dedicated Research Security Help Desk is available around the clock.
- Advanced Cybersecurity Capabilities: GTRI’s CIPHER Lab leads initiatives in:
- Cyber-vulnerability assessments
- Trusted microelectronics
- Hardware and anti-tamper security
- Quantum computing and resilient infrastructure
Academic Faculty Responsibilities
Faculty engaged in federally funded or sensitive research must:
- Complete Research Security Training: In compliance with NSPM-33 and the CHIPS and Science Act, faculty must undergo training on foreign influence, data protection, and disclosure requirements.
- Follow Cybersecurity Policies: Georgia Tech’s Cyber Security Policy outlines expectations for secure device usage, data encryption, and incident response.
- Maintain Ethical Standards: Through RCR training, faculty learn best practices in data management, authorship, peer review, and compliance.




