Classify Risk
Risk classification helps determine how to protect Harvard’s data and systems. It involves assessing both impact and likelihood of harm, whether from a minor incident or a major cyberattack.
Understanding how assets are classified helps everyone, from system or service custodians to researchers, take the right steps to protect them.
- If you're managing a system or application, use the classification to apply the correct standards.
- If you're working with confidential or sensitive information, use it to handle data appropriately.
Classifying the asset is the first step in managing risk effectively.
Level 1: No impact on university operations, research, reputation, or finances.
- Data: Non-sensitive information that is intentionally made available to the public and can be used, reused, or redistributed without restriction.
- Systems: Failure could impact a Non-critical (Critical 4) service.
Level 2: Minimal impact on university operations, research, reputation, or finances.
- Data: Non-sensitive confidential information that may be shared internally within the Harvard community, or within a school, unit or specific department.
- Systems: Failure could impact an Important (Critical 3) service.
Level 3: Moderate impact on university operations, research, reputation, or finances.
- Data: Sensitive information that must be safeguarded as confidential and shared only with individuals with a need to know.*
- Systems: Failure could impact a Critical (Critical 2) service.
*Most university data falls into this broad classification, including most personal data.
Level 4: Significant impact on university operations, research, reputation, or finances.
- Data: Sensitive "Restricted Personal Information", credentials, security secrets, or contractually restricted data.
- Systems: Failure could impact a Foundational (Critical 0) or Mission Critical (Critical 1) service.
Level 5: Severe impact on university-wide operations, research, life safety systems, reputation, or finances.
- Data: Sensitive information that must be safeguarded in accordance with federal requirements.
- Systems: Failure could impact life safety services.
Key
"Restricted Personal Information" - Specific to privacy regulations, laws or sensitivity.
- Government IDs (e.g., Social Security, passport, driver's license)
- Personal financial details (e.g., bank or credit card numbers)
- HIPAA-protected health information
- GDPR/PIPL- extra sensitive data (e.g., biometric, health info)
- Identifiable genetic data
- Disclosure could put a subject at risk (e.g. legal, political, physical)
"Systems: Critical 0-4" - Specific to University availability needs.
Privacy Considerations
Why Privacy Matters in Risk Classification
When classifying data or systems, it’s important to consider privacy alongside security. If you’re handling any information about a person that can identify them, that’s personal information (PI) — and it requires careful handling. Many of the examples below involve PI (Level 2 - Level 5).
Some types of PI carry more risk than others. The University Privacy Principles apply to all personal data, with more attention needed when data is especially sensitive or used at a larger scale. In those situations, you need to take additional steps to protect an individual's privacy.
To learn more, see the University Privacy Principles, the Companion Guide, or contact your SPSO or the ISDP team.
Data Examples
Choose the type below to view examples for each risk classification category.