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Command

/impact-select

Determine appropriate StateRAMP impact level (Low vs Moderate)

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trust-center
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Command definition

impact-select.md
description: Determine appropriate StateRAMP impact level (Low vs Moderate)

StateRAMP Impact Level Selection

Helps determine the appropriate StateRAMP impact level based on system characteristics and data sensitivity.

Arguments

  • `$1` - System type (optional: description of system/service)

Impact Level Decision Framework

StateRAMP uses FIPS 199 categorization based on three security objectives:

Security Objectives

1. **Confidentiality**: Unauthorized disclosure impact 2. **Integrity**: Unauthorized modification impact 3. **Availability**: System disruption impact

Impact Ratings

  • **Low**: Limited adverse effect
  • **Moderate**: Serious adverse effect
  • **High**: Severe or catastrophic adverse effect

**Overall Impact Level** = Highest impact across any objective (Confidentiality, Integrity, or Availability)

StateRAMP Low Impact

When to Choose Low

  • Public information only (no CUI or PII)
  • Limited adverse effect if compromised
  • Non-critical government operations
  • Disruption has minimal impact

Example Systems

  • Public-facing websites (informational)
  • Event calendars and scheduling
  • Public comment systems
  • General constituent communication
  • Non-sensitive document management
  • Public records (already disclosed)

Data Types (Low)

  • Public information
  • Published government data
  • General announcements
  • Non-sensitive forms

Control Requirements

  • ~125 NIST 800-53 controls
  • Lighter compliance burden
  • Simpler continuous monitoring

StateRAMP Moderate Impact

When to Choose Moderate

  • Controlled Unclassified Information (CUI)
  • Personally Identifiable Information (PII)
  • Protected Health Information (PHI)
  • Financial data
  • Law enforcement sensitive data
  • Serious adverse effect if compromised

Example Systems

  • Tax collection and processing
  • Benefits administration (SNAP, Medicaid, etc.)
  • Human resources and payroll
  • Law enforcement case management
  • Licensing and permitting (with PII)
  • Financial management systems
  • Healthcare portals
  • Constituent relationship management (CRM) with PII
  • Vital records systems
  • Grant management with sensitive data

Data Types (Moderate)

  • Social Security Numbers
  • Driver's license numbers
  • Financial account information
  • Health records
  • Criminal justice information
  • Protected tax information
  • Benefit recipient data
  • Employee records

Control Requirements

  • ~325 NIST 800-53 controls
  • More rigorous assessment
  • Enhanced continuous monitoring
  • Stronger security controls

Decision Tree

Does system process/store any of:
├─ PII (SSN, DL#, financial)?          → MODERATE
├─ PHI or health information?           → MODERATE
├─ Financial data (tax, benefits)?      → MODERATE
├─ Law enforcement sensitive?           → MODERATE
├─ CUI designated information?          → MODERATE
└─ Only public information?             → LOW
   └─ Is availability critical?
      ├─ Yes, severe impact if down    → MODERATE
      └─ No, limited impact            → LOW

FIPS 199 Impact Examples

Confidentiality Impact

**Low**: Public relations system

  • Information is already public
  • Disclosure has no privacy implications

**Moderate**: Benefits administration

  • Contains PII and financial data
  • Unauthorized disclosure violates privacy
  • Could enable identity theft or fraud

Integrity Impact

**Low**: Public information website

  • Defacement is embarrassing but correctable
  • No safety or financial consequences

**Moderate**: Licensing database

  • Incorrect licenses could enable fraud
  • Could compromise public safety
  • Financial harm to individuals/government

Availability Impact

**Low**: Event calendar

  • Citizens can call or visit in person
  • Alternative channels exist
  • Temporary inconvenience only

**Moderate**: Emergency dispatch system

  • Critical for public safety
  • Lives at risk if unavailable
  • No immediate alternative

Impact Level Comparison

| Factor | Low | Moderate | |--------|-----|----------| | **Controls** | ~125 | ~325 | | **Cost** | $50K-$150K | $150K-$400K | | **Timeline** | 6-12 months | 12-18 months | | **Assessment** | 3PAO required | 3PAO required | | **Continuous Monitoring** | Basic | Enhanced | | **Annual Testing** | Lighter | More rigorous | | **POA&M Scrutiny** | Moderate | Strict |

Special Considerations

Data Aggregation

  • Individual data points may be low impact
  • Aggregated data may elevate to moderate
  • Example: Individual addresses (low) vs. database of all addresses (moderate)

External Interfaces

  • Connections to moderate systems may require moderate
  • API data exchange considerations
  • Integration security requirements

State-Specific Requirements

Some states may require:

  • Higher impact levels for certain data types
  • Additional controls beyond baseline
  • Specific categorization criteria

**Check** `/stateramp:state-specific` for state variations

Business Impact Analysis

Consider:

  • Mission criticality
  • Service disruption cost
  • Constituent impact
  • Regulatory consequences
  • Reputation damage

Common Mistakes

1. **Underestimating Impact**:

  • "It's just names and addresses" (but SSNs = moderate)
  • Ignoring PII in metadata/logs
  • Not considering data aggregation

2. **Overestimating Impact**:

  • Public data doesn't need moderate
  • Availability concerns alone may not require moderate
  • Consider actual risk, not perceived risk

3. **Ignoring Future State**:

  • Plan for system evolution
  • Adding PII later requires re-authorization
  • Start with appropriate level to avoid rework

Impact Level Change

**If system changes**:

  • New data types added → May require higher impact
  • System connections change → Re-evaluate
  • Significant change = new authorization required
  • StateRAMP requires 30-day notification

Output

The command provides:

1. **Recommended Impact Level**: Low or Moderate with justification 2. **Data Sensitivity Analysis**: Breakdown of data types 3. **FIPS

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