NIST 800-53r5 OSCAL-Native Implementation Plan¶
Project Overview¶
Objective: Create an OSCAL-native compliance platform that automatically tags repository standards with NIST 800-53r5 controls using semantic analysis and knowledge management principles.
Timeline: 6 weeks (3 phases) Approach: LLM-optimized, OSCAL-native, semantically-intelligent Business Impact: Revolutionary compliance automation with zero-touch evidence generation
Phase 1: OSCAL Foundation & Semantic Engine (Weeks 1-2)¶
Task 1.1: OSCAL Data Infrastructure¶
Priority: Critical Estimated Time: 6 hours
Create OSCAL-native data layer using official NIST sources:
standards/
├── compliance/
│ ├── oscal/
│ │ ├── catalogs/
│ │ │ ├── nist-800-53r5-catalog.json # Official OSCAL catalog
│ │ │ ├── catalog-enhanced.json # Enriched with semantic tags
│ │ │ └── control-families.json # Family metadata
│ │ ├── profiles/ # Baseline profiles
│ │ │ ├── low-baseline.json
│ │ │ ├── moderate-baseline.json
│ │ │ ├── high-baseline.json
│ │ │ └── privacy-baseline.json
│ │ ├── components/ # System components
│ │ │ ├── web-app-component.json
│ │ │ ├── api-component.json
│ │ │ └── database-component.json
│ │ └── assessments/ # Assessment results
│ │ ├── implemented-controls.json
│ │ └── evidence-catalog.json
│ ├── semantic/
│ │ ├── knowledge-graph.json # Semantic relationships
│ │ ├── control-embeddings.json # Vector embeddings
│ │ ├── standards-taxonomy.json # Classification system
│ │ └── mapping-rules.yaml # Semantic mapping rules
│ └── automation/
│ ├── semantic-tagger.ts # AI-powered tagging
│ ├── oscal-processor.ts # OSCAL manipulation
│ ├── evidence-harvester.ts # Automated evidence collection
│ └── knowledge-manager.ts # Knowledge graph operations
Task 1.2: OSCAL Schema Integration¶
Priority: Critical Estimated Time: 8 hours
Build TypeScript interfaces directly from OSCAL JSON schema:
// compliance/oscal/types/oscal-catalog.ts
// Direct mapping from NIST OSCAL JSON Schema
export interface OSCALCatalog {
catalog: {
uuid: string;
metadata: OSCALMetadata;
params?: OSCALParameter[];
controls: OSCALControl[];
groups?: OSCALGroup[];
"back-matter"?: OSCALBackMatter;
};
}
export interface OSCALControl {
id: string; // e.g., "ac-1"
class?: string; // e.g., "SP800-53"
title: string;
params?: OSCALParameter[];
props?: OSCALProperty[];
links?: OSCALLink[];
parts: OSCALPart[];
controls?: OSCALControl[]; // Control enhancements
}
export interface OSCALPart {
id?: string;
name: string; // e.g., "statement", "guidance", "objective"
ns?: string;
class?: string;
title?: string;
props?: OSCALProperty[];
prose?: string; // Actual control text
parts?: OSCALPart[];
links?: OSCALLink[];
}
export interface OSCALParameter {
id: string; // e.g., "ac-01_odp.01"
class?: string;
"depends-on"?: string;
props?: OSCALProperty[];
links?: OSCALLink[];
label?: string;
usage?: string;
constraints?: OSCALConstraint[];
guidelines?: OSCALGuideline[];
values?: string[];
select?: OSCALSelection;
remarks?: string;
}
// Enhanced interfaces for semantic analysis
export interface EnhancedOSCALControl extends OSCALControl {
semanticTags: SemanticTag[];
repositoryMappings: RepositoryMapping[];
implementationPatterns: ImplementationPattern[];
evidenceRequirements: EvidenceRequirement[];
knowledgeGraphNodes: KnowledgeNode[];
}
export interface SemanticTag {
type: 'technology' | 'process' | 'administrative' | 'technical' | 'operational';
domain: string; // e.g., 'authentication', 'encryption', 'logging'
keywords: string[];
confidence: number; // 0-1 confidence score
source: 'llm-analysis' | 'manual-review' | 'pattern-matching';
}
export interface RepositoryMapping {
standardPath: string; // Path to repository standard
mappingType: 'primary' | 'supporting' | 'evidence' | 'documentation';
relevanceScore: number; // 0-1 relevance score
implementationCoverage: number; // 0-1 coverage percentage
automaticDetection: boolean;
lastValidated: Date;
semanticAlignment: SemanticAlignment;
}
export interface ImplementationPattern {
pattern: string; // Regex or AST pattern
language: string[]; // Programming languages
framework: string[]; // Frameworks where applicable
description: string;
exampleCode: string;
validationMethod: 'static-analysis' | 'runtime-check' | 'configuration-scan';
}
export interface KnowledgeNode {
id: string;
type: 'control' | 'standard' | 'implementation' | 'evidence';
relationships: {
implements?: string[];
supports?: string[];
requires?: string[];
conflicts?: string[];
};
attributes: Record<string, any>;
}
Task 1.3: Semantic Analysis Engine¶
Priority: Critical Estimated Time: 10 hours
Create AI-powered semantic analysis for automatic control mapping:
// compliance/automation/semantic-tagger.ts
import { OpenAI } from 'openai';
import { OSCALControl, EnhancedOSCALControl, SemanticTag } from '../oscal/types';
export class SemanticControlTagger {
private openai: OpenAI;
private knowledgeBase: Map<string, SemanticTag[]>;
private vectorStore: VectorStore;
constructor() {
this.openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
this.loadKnowledgeBase();
this.initializeVectorStore();
}
/**
* Analyze OSCAL control and generate semantic tags using LLM
*/
async analyzeControl(control: OSCALControl): Promise<EnhancedOSCALControl> {
// Extract control narrative text
const controlText = this.extractControlNarrative(control);
// Generate semantic analysis prompt
const analysisPrompt = this.buildSemanticAnalysisPrompt(control, controlText);
// LLM-powered semantic analysis
const semanticAnalysis = await this.performLLMAnalysis(analysisPrompt);
// Generate vector embeddings
const embeddings = await this.generateEmbeddings(controlText);
// Find similar controls and standards
const similarItems = await this.findSimilarItems(embeddings);
// Extract implementation patterns
const patterns = await this.extractImplementationPatterns(semanticAnalysis);
// Map to repository standards
const repositoryMappings = await this.mapToRepositoryStandards(
control,
semanticAnalysis,
similarItems
);
return {
...control,
semanticTags: semanticAnalysis.tags,
repositoryMappings,
implementationPatterns: patterns,
evidenceRequirements: semanticAnalysis.evidenceRequirements,
knowledgeGraphNodes: this.generateKnowledgeNodes(control, semanticAnalysis)
};
}
/**
* Build LLM prompt for semantic analysis
*/
private buildSemanticAnalysisPrompt(control: OSCALControl, narrative: string): string {
return `
# NIST 800-53r5 Control Semantic Analysis
## Control Information
- **ID**: ${control.id}
- **Title**: ${control.title}
- **Class**: ${control.class || 'SP800-53'}
## Control Statement
${narrative}
## Analysis Instructions
Analyze this security control and provide a comprehensive semantic breakdown:
### 1. Domain Classification
Identify the primary security domains this control addresses:
- Access Control & Identity Management
- Audit & Accountability
- Configuration Management
- System & Communications Protection
- Physical & Environmental Protection
- Risk Assessment & Management
- Other (specify)
### 2. Technology Mapping
Identify specific technologies, frameworks, and implementation approaches:
- Programming languages where this is typically implemented
- Security frameworks that address this control
- Infrastructure components involved
- Development tools and processes
### 3. Implementation Patterns
Describe common implementation patterns:
- Code-level implementations
- Configuration-based implementations
- Process-based implementations
- Documentation requirements
### 4. Evidence Requirements
What evidence demonstrates compliance:
- Code artifacts that provide evidence
- Configuration files that demonstrate compliance
- Documentation that supports implementation
- Automated tests that validate compliance
### 5. Repository Standard Mapping
Based on the williamzujkowski/standards repository structure, suggest mappings to:
- Development standards that would implement this control
- Project templates that should include this control
- Configuration patterns that demonstrate compliance
- Testing standards that validate implementation
### 6. Semantic Keywords
Generate relevant keywords for search and discovery:
- Technical terms
- Process terms
- Compliance terms
- Industry-standard terms
Return analysis as structured JSON with confidence scores for each mapping.
`;
}
/**
* Perform LLM analysis of control
*/
private async performLLMAnalysis(prompt: string): Promise<SemanticAnalysisResult> {
const completion = await this.openai.chat.completions.create({
model: "gpt-4-turbo-preview",
messages: [
{
role: "system",
content: `You are a cybersecurity expert and compliance specialist with deep knowledge of NIST 800-53r5 controls and software development practices. Analyze security controls and provide detailed semantic mappings to development standards and implementation patterns.`
},
{
role: "user",
content: prompt
}
],
response_format: { type: "json_object" },
temperature: 0.1 // Low temperature for consistent analysis
});
return JSON.parse(completion.choices[0].message.content);
}
/**
* Map control to repository standards using semantic similarity
*/
private async mapToRepositoryStandards(
control: OSCALControl,
analysis: SemanticAnalysisResult,
similarItems: SimilarItem[]
): Promise<RepositoryMapping[]> {
const mappings: RepositoryMapping[] = [];
// Scan repository for relevant standards
const repoStandards = await this.scanRepositoryStandards();
for (const standard of repoStandards) {
const mapping = await this.analyzeStandardAlignment(
control,
standard,
analysis
);
if (mapping.relevanceScore > 0.3) { // Threshold for inclusion
mappings.push(mapping);
}
}
return mappings.sort((a, b) => b.relevanceScore - a.relevanceScore);
}
/**
* Analyze alignment between control and repository standard
*/
private async analyzeStandardAlignment(
control: OSCALControl,
standard: RepositoryStandard,
analysis: SemanticAnalysisResult
): Promise<RepositoryMapping> {
const alignmentPrompt = `
# Control-Standard Alignment Analysis
## NIST Control
- **ID**: ${control.id}
- **Title**: ${control.title}
- **Domains**: ${analysis.domains.join(', ')}
- **Keywords**: ${analysis.keywords.join(', ')}
## Repository Standard
- **Path**: ${standard.path}
- **Title**: ${standard.title}
- **Content**: ${standard.content.substring(0, 2000)}...
## Analysis Task
Determine the alignment between this NIST control and repository standard:
1. **Relevance Score** (0-1): How relevant is this standard to the control?
2. **Mapping Type**: primary | supporting | evidence | documentation
3. **Implementation Coverage** (0-1): What percentage of the control does this standard address?
4. **Semantic Alignment**: Specific aspects that align
5. **Evidence Potential**: What evidence this standard could provide
Return structured JSON with scores and rationale.
`;
const alignmentResult = await this.performLLMAnalysis(alignmentPrompt);
return {
standardPath: standard.path,
mappingType: alignmentResult.mappingType,
relevanceScore: alignmentResult.relevanceScore,
implementationCoverage: alignmentResult.implementationCoverage,
automaticDetection: true,
lastValidated: new Date(),
semanticAlignment: alignmentResult.semanticAlignment
};
}
}
// Supporting interfaces
interface SemanticAnalysisResult {
domains: string[];
technologies: string[];
implementationPatterns: ImplementationPattern[];
evidenceRequirements: EvidenceRequirement[];
keywords: string[];
tags: SemanticTag[];
confidence: number;
}
interface RepositoryStandard {
path: string;
title: string;
content: string;
type: 'development-standard' | 'project-template' | 'configuration' | 'documentation';
lastModified: Date;
}
Task 1.4: Knowledge Management Integration¶
Priority: High Estimated Time: 8 hours
Integrate KNOWLEDGE_MANAGEMENT_STANDARDS.md principles for semantic organization:
// compliance/automation/knowledge-manager.ts
export class KnowledgeGraphManager {
private graph: Map<string, KnowledgeNode>;
private semanticIndex: SemanticIndex;
private taxonomyManager: TaxonomyManager;
constructor() {
this.initializeFromKnowledgeStandards();
}
/**
* Initialize knowledge graph from KNOWLEDGE_MANAGEMENT_STANDARDS.md
*/
private async initializeFromKnowledgeStandards(): Promise<void> {
// Parse KNOWLEDGE_MANAGEMENT_STANDARDS.md for taxonomies and relationships
const knowledgeStandards = await this.parseKnowledgeStandards();
// Create semantic taxonomies for NIST controls
this.taxonomyManager = new TaxonomyManager({
securityDomains: knowledgeStandards.securityTaxonomy,
implementationTypes: knowledgeStandards.implementationTaxonomy,
evidenceTypes: knowledgeStandards.evidenceTaxonomy,
complianceFrameworks: knowledgeStandards.frameworkTaxonomy
});
// Build knowledge graph connections
await this.buildKnowledgeGraph();
}
/**
* Create semantic connections between controls and standards
*/
async createSemanticConnections(
control: EnhancedOSCALControl,
repositoryStandards: RepositoryStandard[]
): Promise<SemanticConnection[]> {
const connections: SemanticConnection[] = [];
for (const standard of repositoryStandards) {
// Analyze semantic similarity using knowledge graph
const similarity = await this.calculateSemanticSimilarity(
control,
standard
);
// Generate bidirectional relationships
if (similarity.score > 0.5) {
connections.push({
sourceId: control.id,
targetId: standard.path,
relationshipType: this.inferRelationshipType(similarity),
strength: similarity.score,
evidence: similarity.evidence,
semanticPaths: similarity.paths
});
}
}
return connections;
}
/**
* Auto-tag repository standards with NIST control mappings
*/
async autoTagRepositoryStandards(): Promise<TaggingResult[]> {
const results: TaggingResult[] = [];
const repoStandards = await this.scanAllRepositoryStandards();
for (const standard of repoStandards) {
const taggingResult = await this.analyzeStandardForControlMappings(standard);
if (taggingResult.mappings.length > 0) {
// Update the standard file with NIST control tags
await this.insertNISTControlTags(standard.path, taggingResult.mappings);
results.push(taggingResult);
}
}
return results;
}
/**
* Insert NIST control tags into repository standard files
*/
private async insertNISTControlTags(
filePath: string,
mappings: ControlMapping[]
): Promise<void> {
const fileContent = await readFile(filePath, 'utf-8');
// Generate YAML frontmatter with NIST mappings
const nistMappings = {
nist_800_53_r5: {
controls: mappings.map(m => ({
control_id: m.controlId,
control_name: m.controlName,
mapping_type: m.mappingType,
relevance_score: m.relevanceScore,
implementation_coverage: m.implementationCoverage,
evidence_provided: m.evidenceTypes,
last_analyzed: new Date().toISOString(),
semantic_keywords: m.semanticKeywords
})),
auto_generated: true,
generated_date: new Date().toISOString(),
analysis_confidence: mappings.reduce((sum, m) => sum + m.confidence, 0) / mappings.length
}
};
// Check if file already has frontmatter
const frontmatterRegex = /^---\n([\s\S]*?)\n---\n/;
const existingFrontmatter = fileContent.match(frontmatterRegex);
let updatedContent: string;
if (existingFrontmatter) {
// Update existing frontmatter
const existingMeta = yaml.parse(existingFrontmatter[1]);
const mergedMeta = { ...existingMeta, ...nistMappings };
const newFrontmatter = `---\n${yaml.stringify(mergedMeta)}---\n`;
updatedContent = fileContent.replace(frontmatterRegex, newFrontmatter);
} else {
// Add new frontmatter
const newFrontmatter = `---\n${yaml.stringify(nistMappings)}---\n\n`;
updatedContent = newFrontmatter + fileContent;
}
await writeFile(filePath, updatedContent);
// Log the tagging action
console.log(`✅ Tagged ${filePath} with ${mappings.length} NIST control mappings`);
}
/**
* Analyze repository standard for NIST control mappings using LLM
*/
private async analyzeStandardForControlMappings(
standard: RepositoryStandard
): Promise<TaggingResult> {
const analysisPrompt = `
# Repository Standard Analysis for NIST 800-53r5 Mapping
## Standard Information
- **Path**: ${standard.path}
- **Title**: ${standard.title}
- **Type**: ${standard.type}
- **Content Length**: ${standard.content.length} characters
## Standard Content
${standard.content.substring(0, 4000)}${standard.content.length > 4000 ? '...' : ''}
## Analysis Task
Analyze this repository standard and identify which NIST 800-53r5 controls it relates to:
### Instructions
1. **Read the standard content carefully**
2. **Identify security-related concepts, practices, and requirements**
3. **Map to specific NIST 800-53r5 controls** based on:
- Authentication & Access Control (AC family)
- Audit & Accountability (AU family)
- Configuration Management (CM family)
- System & Communications Protection (SC family)
- All other relevant families
### Output Format
For each identified control mapping, provide:
- **Control ID** (e.g., "ac-01", "au-02")
- **Control Name** (official NIST title)
- **Mapping Type**: primary | supporting | evidence | documentation
- **Relevance Score** (0-1): How relevant is this standard to the control
- **Implementation Coverage** (0-1): What percentage of control requirements this addresses
- **Evidence Types**: What types of evidence this standard provides
- **Semantic Keywords**: Key terms that create the connection
- **Confidence Score** (0-1): Confidence in this mapping
### Focus Areas
Look specifically for content related to:
- Security policies and procedures
- Access control mechanisms
- Logging and monitoring
- Configuration management
- Encryption and data protection
- Testing and validation
- Documentation requirements
- Incident response
- Risk management
Return structured JSON with all identified mappings.
`;
const analysisResult = await this.performLLMAnalysis(analysisPrompt);
return {
standardPath: standard.path,
standardTitle: standard.title,
mappings: analysisResult.mappings || [],
analysisConfidence: analysisResult.confidence || 0,
analysisDate: new Date(),
semanticKeywords: analysisResult.keywords || []
};
}
}
// Knowledge management interfaces
interface KnowledgeNode {
id: string;
type: 'control' | 'standard' | 'implementation' | 'evidence';
title: string;
content: string;
metadata: Record<string, any>;
relationships: Map<string, Relationship>;
semanticEmbedding: number[];
}
interface SemanticConnection {
sourceId: string;
targetId: string;
relationshipType: 'implements' | 'supports' | 'requires' | 'evidences' | 'documents';
strength: number;
evidence: string[];
semanticPaths: string[];
}
interface TaggingResult {
standardPath: string;
standardTitle: string;
mappings: ControlMapping[];
analysisConfidence: number;
analysisDate: Date;
semanticKeywords: string[];
}
interface ControlMapping {
controlId: string;
controlName: string;
mappingType: 'primary' | 'supporting' | 'evidence' | 'documentation';
relevanceScore: number;
implementationCoverage: number;
evidenceTypes: string[];
semanticKeywords: string[];
confidence: number;
}
Phase 2: Intelligent Documentation & Evidence Generation (Weeks 3-4)¶
Task 2.1: OSCAL-Native Documentation Generator¶
Priority: Critical Estimated Time: 10 hours
Create documentation generator that produces OSCAL System Security Plans:
// compliance/automation/oscal-ssp-generator.ts
export class OSCALSystemSecurityPlanGenerator {
private catalog: OSCALCatalog;
private knowledgeManager: KnowledgeGraphManager;
private evidenceHarvester: EvidenceHarvester;
/**
* Generate complete OSCAL System Security Plan
*/
async generateOSCALSSP(
projectContext: ProjectContext,
baseline: 'low' | 'moderate' | 'high' = 'moderate'
): Promise<OSCALSystemSecurityPlan> {
// Load appropriate baseline profile
const baselineProfile = await this.loadBaselineProfile(baseline);
// Analyze project for implemented controls
const implementedControls = await this.analyzeProjectImplementation(projectContext);
// Generate system characteristics
const systemCharacteristics = await this.generateSystemCharacteristics(projectContext);
// Create control implementations
const controlImplementations = await this.generateControlImplementations(
baselineProfile,
implementedControls,
projectContext
);
// Generate OSCAL SSP
const ssp: OSCALSystemSecurityPlan = {
"system-security-plan": {
uuid: this.generateUUID(),
metadata: {
title: `System Security Plan - ${projectContext.systemName}`,
"last-modified": new Date().toISOString(),
version: "1.0.0",
"oscal-version": "1.1.2",
roles: this.generateRoles(),
parties: this.generateParties(projectContext),
"responsible-parties": this.generateResponsibleParties()
},
"import-profile": {
href: `#${baselineProfile.uuid}`,
remarks: `Importing ${baseline} baseline profile`
},
"system-characteristics": systemCharacteristics,
"system-implementation": {
uuid: this.generateUUID(),
description: `Implementation details for ${projectContext.systemName}`,
users: this.generateSystemUsers(projectContext),
components: await this.generateSystemComponents(projectContext),
"inventory-items": await this.generateInventoryItems(projectContext),
remarks: "Auto-generated from repository analysis"
},
"control-implementation": {
uuid: this.generateUUID(),
description: "Control implementations derived from repository standards",
"implemented-requirements": controlImplementations
},
"back-matter": await this.generateBackMatter(projectContext)
}
};
return ssp;
}
/**
* Generate control implementations with evidence linkage
*/
private async generateControlImplementations(
baselineProfile: OSCALProfile,
implementedControls: Map<string, ImplementationAnalysis>,
projectContext: ProjectContext
): Promise<OSCALImplementedRequirement[]> {
const implementations: OSCALImplementedRequirement[] = [];
for (const import_item of baselineProfile.profile.imports) {
if (import_item.include_controls) {
for (const control_id of import_item.include_controls.with_ids || []) {
const analysis = implementedControls.get(control_id);
const controlData = await this.getControlData(control_id);
const implementation: OSCALImplementedRequirement = {
uuid: this.generateUUID(),
"control-id": control_id,
description: await this.generateImplementationDescription(
controlData,
analysis,
projectContext
),
statements: await this.generateImplementationStatements(
controlData,
analysis
),
"responsible-roles": this.mapResponsibleRoles(control_id),
remarks: analysis ?
`Implementation detected via automated analysis. Confidence: ${analysis.confidence}` :
"Control implementation not automatically detected"
};
// Add evidence if available
if (analysis?.evidence.length > 0) {
implementation.props = [
{
name: "implementation-status",
value: analysis.status,
remarks: `Based on analysis of ${analysis.evidence.length} evidence items`
}
];
// Link to evidence in back-matter
implementation.links = analysis.evidence.map(evidence => ({
href: `#evidence-${this.sanitizeId(evidence.location)}`,
rel: "evidence",
"media-type": evidence.type === 'code' ? 'text/plain' : 'application/json'
}));
}
implementations.push(implementation);
}
}
}
return implementations;
}
/**
* Generate system characteristics from project analysis
*/
private async generateSystemCharacteristics(
projectContext: ProjectContext
): Promise<OSCALSystemCharacteristics> {
const techStack = await this.analyzeTechnologyStack(projectContext);
const dataFlow = await this.analyzeDataFlow(projectContext);
const securityImpact = await this.assessSecurityImpact(projectContext);
return {
"system-ids": [
{
identifier: projectContext.systemId,
scheme: "organizational"
}
],
"system-name": projectContext.systemName,
"system-name-short": projectContext.systemNameShort,
description: projectContext.description,
"security-sensitivity-level": securityImpact.level,
"system-information": {
"information-types": dataFlow.informationTypes.map(type => ({
uuid: this.generateUUID(),
title: type.name,
description: type.description,
"categorizations": type.categorizations,
"confidentiality-impact": type.impacts.confidentiality,
"integrity-impact": type.impacts.integrity,
"availability-impact": type.impacts.availability
}))
},
"security-impact-level": {
"security-objective-confidentiality": securityImpact.confidentiality,
"security-objective-integrity": securityImpact.integrity,
"security-objective-availability": securityImpact.availability
},
status: {
state: projectContext.deploymentStatus || "under-development",
remarks: "Status determined from repository analysis"
},
"authorization-boundary": {
description: await this.generateAuthorizationBoundary(techStack, dataFlow)
},
"network-architecture": {
description: await this.generateNetworkArchitecture(techStack)
},
"data-flow": {
description: dataFlow.description,
diagrams: dataFlow.diagrams
},
remarks: `System characteristics auto-generated from analysis of ${projectContext.repositoryPath}`
};
}
}
// OSCAL SSP Data Models (subset for illustration)
interface OSCALSystemSecurityPlan {
"system-security-plan": {
uuid: string;
metadata: OSCALMetadata;
"import-profile": OSCALImportProfile;
"system-characteristics": OSCALSystemCharacteristics;
"system-implementation": OSCALSystemImplementation;
"control-implementation": OSCALControlImplementation;
"back-matter"?: OSCALBackMatter;
};
}
interface OSCALImplementedRequirement {
uuid: string;
"control-id": string;
description: string;
props?: OSCALProperty[];
links?: OSCALLink[];
statements?: OSCALImplementationStatement[];
"by-components"?: OSCALByComponent[];
"responsible-roles"?: OSCALResponsibleRole[];
remarks?: string;
}
interface OSCALSystemCharacteristics {
"system-ids": OSCALSystemId[];
"system-name": string;
"system-name-short"?: string;
description: string;
props?: OSCALProperty[];
links?: OSCALLink[];
"date-authorized"?: string;
"security-sensitivity-level": string;
"system-information": OSCALSystemInformation;
"security-impact-level": OSCALSecurityImpactLevel;
status: OSCALSystemStatus;
"authorization-boundary": OSCALAuthorizationBoundary;
"network-architecture"?: OSCALNetworkArchitecture;
"data-flow"?: OSCALDataFlow;
remarks?: string;
}
Task 2.2: Evidence Harvesting Engine¶
Priority: High Estimated Time: 10 hours
Build automated evidence collection with OSCAL evidence catalog generation:
// compliance/automation/evidence-harvester.ts
export class EvidenceHarvester {
private semanticTagger: SemanticControlTagger;
private knowledgeManager: KnowledgeGraphManager;
private codeAnalyzer: CodeAnalyzer;
/**
* Harvest all evidence and generate OSCAL Assessment Results
*/
async harvestEvidence(projectContext: ProjectContext): Promise<OSCALAssessmentResults> {
const evidenceItems: EvidenceItem[] = [];
// Harvest code evidence
evidenceItems.push(...await this.harvestCodeEvidence(projectContext));
// Harvest configuration evidence
evidenceItems.push(...await this.harvestConfigurationEvidence(projectContext));
// Harvest documentation evidence
evidenceItems.push(...await this.harvestDocumentationEvidence(projectContext));
// Harvest infrastructure evidence
evidenceItems.push(...await this.harvestInfrastructureEvidence(projectContext));
// Generate OSCAL Assessment Results
return this.generateOSCALAssessmentResults(evidenceItems, projectContext);
}
/**
* Harvest code evidence using AST analysis and semantic matching
*/
private async harvestCodeEvidence(projectContext: ProjectContext): Promise<EvidenceItem[]> {
const evidence: EvidenceItem[] = [];
const codeFiles = await this.scanCodeFiles(projectContext.repositoryPath);
for (const file of codeFiles) {
const analysis = await this.codeAnalyzer.analyzeFile(file);
// Map security patterns to NIST controls using semantic analysis
for (const pattern of analysis.securityPatterns) {
const controlMappings = await this.semanticTagger.mapPatternToControls(pattern);
for (const mapping of controlMappings) {
evidence.push({
id: this.generateEvidenceId(file.path, mapping.controlId),
type: 'code',
title: `${mapping.controlId} Implementation in ${file.name}`,
description: `Security implementation detected: ${pattern.description}`,
location: file.path,
"related-controls": [mapping.controlId],
"implementation-status": this.assessImplementationStatus(pattern),
"evidence-artifacts": [
{
type: 'source-code',
location: file.path,
"line-range": pattern.lineRange,
content: pattern.codeSnippet,
"analysis-method": 'automated-static-analysis'
}
],
"validation-method": 'static-code-analysis',
"automation-level": 'fully-automated',
confidence: mapping.confidence,
"last-collected": new Date().toISOString(),
metadata: {
language: file.language,
framework: analysis.detectedFrameworks,
"security-pattern": pattern.patternType,
"analysis-tools": analysis.toolsUsed
}
});
}
}
}
return evidence;
}
/**
* Harvest configuration evidence with semantic interpretation
*/
private async harvestConfigurationEvidence(
projectContext: ProjectContext
): Promise<EvidenceItem[]> {
const evidence: EvidenceItem[] = [];
const configFiles = await this.scanConfigurationFiles(projectContext.repositoryPath);
for (const file of configFiles) {
const configAnalysis = await this.analyzeConfiguration(file);
// Map security configurations to controls
for (const securityConfig of configAnalysis.securityConfigurations) {
const controlMappings = await this.mapConfigurationToControls(securityConfig);
for (const mapping of controlMappings) {
evidence.push({
id: this.generateEvidenceId(file.path, mapping.controlId),
type: 'configuration',
title: `${mapping.controlId} Configuration in ${file.name}`,
description: `Security configuration detected: ${securityConfig.description}`,
location: file.path,
"related-controls": [mapping.controlId],
"implementation-status": this.assessConfigImplementationStatus(securityConfig),
"evidence-artifacts": [
{
type: 'configuration-file',
location: file.path,
"config-section": securityConfig.section,
content: securityConfig.value,
"analysis-method": 'configuration-parsing'
}
],
"validation-method": 'configuration-validation',
"automation-level": 'fully-automated',
confidence: mapping.confidence,
"last-collected": new Date().toISOString(),
metadata: {
"config-type": file.type,
"config-format": file.format,
"security-setting": securityConfig.settingType
}
});
}
}
}
return evidence;
}
/**
* Generate OSCAL Assessment Results from evidence
*/
private generateOSCALAssessmentResults(
evidence: EvidenceItem[],
projectContext: ProjectContext
): OSCALAssessmentResults {
// Group evidence by control
const evidenceByControl = this.groupEvidenceByControl(evidence);
// Generate assessment findings
const findings: OSCALFinding[] = [];
for (const [controlId, controlEvidence] of evidenceByControl) {
const finding = this.generateControlFinding(controlId, controlEvidence);
findings.push(finding);
}
return {
"assessment-results": {
uuid: this.generateUUID(),
metadata: {
title: `Automated Security Assessment - ${projectContext.systemName}`,
"last-modified": new Date().toISOString(),
version: "1.0.0",
"oscal-version": "1.1.2",
parties: this.generateAssessmentParties(),
"responsible-parties": this.generateAssessmentResponsibleParties()
},
"import-ap": {
href: "#automated-assessment-plan",
remarks: "Automated assessment using repository analysis"
},
"local-definitions": {
"assessment-activities": this.generateAssessmentActivities(),
"assessment-methods": this.generateAssessmentMethods()
},
results: [
{
uuid: this.generateUUID(),
title: "Automated Repository Analysis Results",
description: "Assessment results from automated analysis of repository",
start: new Date().toISOString(),
end: new Date().toISOString(),
"local-definitions": {
"assessment-activities": this.generateAssessmentActivities()
},
findings,
remarks: `Assessed ${evidence.length} evidence items across ${evidenceByControl.size} controls`
}
],
"back-matter": this.generateEvidenceBackMatter(evidence)
}
};
}
}
// Evidence interfaces
interface EvidenceItem {
id: string;
type: 'code' | 'configuration' | 'documentation' | 'infrastructure' | 'process';
title: string;
description: string;
location: string;
"related-controls": string[];
"implementation-status": 'implemented' | 'partially-implemented' | 'not-implemented';
"evidence-artifacts": EvidenceArtifact[];
"validation-method": string;
"automation-level": 'fully-automated' | 'semi-automated' | 'manual';
confidence: number;
"last-collected": string;
metadata: Record<string, any>;
}
interface EvidenceArtifact {
type: string;
location: string;
content?: string;
"analysis-method": string;
[key: string]: any; // Additional type-specific properties
}
Phase 3: Intelligent Automation & Monitoring (Weeks 5-6)¶
Task 3.1: Continuous Compliance Engine¶
Priority: High Estimated Time: 8 hours
Create real-time compliance monitoring with OSCAL-native change detection:
// compliance/automation/continuous-compliance-monitor.ts
export class ContinuousComplianceMonitor {
private oscalSSPGenerator: OSCALSystemSecurityPlanGenerator;
private evidenceHarvester: EvidenceHarvester;
private knowledgeManager: KnowledgeGraphManager;
private changeDetector: ChangeDetector;
/**
* Monitor repository for compliance-affecting changes
*/
async startMonitoring(projectContext: ProjectContext): Promise<void> {
// Set up file system watchers
this.setupFileWatchers(projectContext.repositoryPath);
// Set up scheduled assessments
this.setupScheduledAssessments(projectContext);
// Initialize baseline compliance state
const baselineAssessment = await this.performFullAssessment(projectContext);
await this.storeBaselineState(baselineAssessment);
console.log('🔄 Continuous compliance monitoring started');
}
/**
* React to repository changes and assess compliance impact
*/
private async handleRepositoryChange(change: RepositoryChange): Promise<void> {
// Analyze change for compliance impact
const impactAnalysis = await this.analyzeComplianceImpact(change);
if (impactAnalysis.hasComplianceImpact) {
// Perform targeted re-assessment
const affectedControls = impactAnalysis.affectedControls;
const updatedAssessment = await this.performTargetedAssessment(
affectedControls,
change.projectContext
);
// Compare with baseline
const complianceChange = await this.compareWithBaseline(
updatedAssessment,
affectedControls
);
// Generate notifications if needed
if (complianceChange.requiresNotification) {
await this.sendComplianceNotification(complianceChange);
}
// Update compliance dashboard
await this.updateComplianceDashboard(updatedAssessment);
}
}
/**
* Generate OSCAL Plan of Action and Milestones (POA&M)
*/
async generateOSCALPOAM(
assessmentResults: OSCALAssessmentResults,
projectContext: ProjectContext
): Promise<OSCALPlanOfActionAndMilestones> {
const findings = this.extractFindings(assessmentResults);
const gaps = await this.identifyComplianceGaps(findings);
const poamItems: OSCALPOAMItem[] = [];
for (const gap of gaps) {
const remediation = await this.generateRemediationPlan(gap);
poamItems.push({
uuid: this.generateUUID(),
title: `Address ${gap.controlId} Implementation Gap`,
description: gap.description,
"related-findings": [gap.findingId],
"related-risks": await this.assessRelatedRisks(gap),
"remediation-tracking": {
"tracking-entries": [
{
uuid: this.generateUUID(),
"date-time-stamp": new Date().toISOString(),
title: "Initial Gap Identification",
description: "Gap identified through automated assessment",
type: "vendor-check-in",
status: {
state: "open",
reason: "auto-detected-gap"
}
}
]
},
"milestones": remediation.milestones.map(milestone => ({
uuid: this.generateUUID(),
title: milestone.title,
description: milestone.description,
"target-date": milestone.targetDate,
remarks: milestone.notes
}))
});
}
return {
"plan-of-action-and-milestones": {
uuid: this.generateUUID(),
metadata: {
title: `Plan of Action and Milestones - ${projectContext.systemName}`,
"last-modified": new Date().toISOString(),
version: "1.0.0",
"oscal-version": "1.1.2"
},
"import-ssp": {
href: `#${assessmentResults["assessment-results"].uuid}`,
remarks: "POAM based on assessment results"
},
"poam-items": poamItems,
"back-matter": this.generatePOAMBackMatter(gaps)
}
};
}
}
Task 3.2: LLM-Optimized CLI Interface¶
Priority: Medium Estimated Time: 6 hours
Create intelligent CLI with natural language processing:
// cli/intelligent-compliance-cli.ts
#!/usr/bin/env node
import { Command } from 'commander';
import { OpenAI } from 'openai';
class IntelligentComplianceCLI {
private openai: OpenAI;
private knowledgeManager: KnowledgeGraphManager;
private oscalProcessor: OSCALProcessor;
constructor() {
this.openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
this.setupCommands();
}
private setupCommands(): void {
const program = new Command();
program
.name('nist-ai')
.description('AI-powered NIST 800-53r5 compliance management')
.version('2.0.0');
// Natural language query interface
program
.command('ask <question>')
.description('Ask natural language questions about compliance')
.option('--context <type>', 'Context type (project|control|standard)', 'project')
.action(async (question, options) => {
await this.handleNaturalLanguageQuery(question, options);
});
// Intelligent analysis
program
.command('analyze')
.description('Perform intelligent compliance analysis')
.option('--deep', 'Deep semantic analysis')
.option('--suggest', 'Generate improvement suggestions')
.action(async (options) => {
await this.performIntelligentAnalysis(options);
});
// Auto-tagging
program
.command('auto-tag')
.description('Automatically tag repository standards with NIST controls')
.option('--dry-run', 'Show what would be tagged without making changes')
.option('--confidence <threshold>', 'Minimum confidence threshold', '0.7')
.action(async (options) => {
await this.autoTagStandards(options);
});
// OSCAL operations
program
.command('oscal')
.description('OSCAL document operations')
.addCommand(this.createOSCALCommands());
program.parse();
}
/**
* Handle natural language queries about compliance
*/
private async handleNaturalLanguageQuery(question: string, options: any): Promise<void> {
console.log(`🤔 Analyzing question: "${question}"`);
const queryAnalysis = await this.analyzeQuery(question, options.context);
const response = await this.generateResponse(queryAnalysis);
console.log('\n📋 Answer:');
console.log(response.answer);
if (response.suggestedActions.length > 0) {
console.log('\n💡 Suggested Actions:');
response.suggestedActions.forEach((action, i) => {
console.log(` ${i + 1}. ${action}`);
});
}
}
/**
* Analyze natural language query and determine intent
*/
private async analyzeQuery(question: string, context: string): Promise<QueryAnalysis> {
const analysisPrompt = `
# Compliance Query Analysis
## User Question
"${question}"
## Context
${context}
## Analysis Task
Analyze this question about NIST 800-53r5 compliance and determine:
1. **Intent**: What is the user trying to accomplish?
- Check compliance status
- Understand control requirements
- Get implementation guidance
- Find evidence
- Assess gaps
- Generate documentation
2. **Scope**: What is the scope of the question?
- Specific control (which one?)
- Control family
- Entire system
- Specific standard or document
3. **Required Actions**: What actions are needed to answer this question?
- Search repository standards
- Analyze code/configurations
- Generate OSCAL documents
- Perform gap analysis
- Provide implementation examples
4. **Information Needed**: What information is required?
- Control details from OSCAL catalog
- Repository standard analysis
- Evidence collection
- Implementation status
Return structured JSON with analysis results.
`;
const completion = await this.openai.chat.completions.create({
model: "gpt-4-turbo-preview",
messages: [
{
role: "system",
content: "You are an expert NIST 800-53r5 compliance analyst. Analyze user questions and determine the best way to provide helpful, accurate compliance guidance."
},
{
role: "user",
content: analysisPrompt
}
],
response_format: { type: "json_object" },
temperature: 0.1
});
return JSON.parse(completion.choices[0].message.content);
}
/**
* Auto-tag repository standards with NIST control mappings
*/
private async autoTagStandards(options: any): Promise<void> {
console.log('🏷️ Auto-tagging repository standards with NIST controls...');
const threshold = parseFloat(options.confidence);
const dryRun = options.dryRun;
if (dryRun) {
console.log('🔍 Dry run mode - no files will be modified');
}
const taggingResults = await this.knowledgeManager.autoTagRepositoryStandards();
let taggedCount = 0;
let totalMappings = 0;
for (const result of taggingResults) {
const filteredMappings = result.mappings.filter(m => m.confidence >= threshold);
if (filteredMappings.length > 0) {
console.log(`\n📄 ${result.standardPath}`);
console.log(` Title: ${result.standardTitle}`);
console.log(` Mappings: ${filteredMappings.length} (confidence ≥ ${threshold})`);
for (const mapping of filteredMappings) {
console.log(` • ${mapping.controlId}: ${mapping.controlName} (${mapping.confidence.toFixed(2)})`);
totalMappings++;
}
if (!dryRun) {
await this.knowledgeManager.insertNISTControlTags(
result.standardPath,
filteredMappings
);
}
taggedCount++;
}
}
console.log(`\n✅ Results:`);
console.log(` Files ${dryRun ? 'that would be tagged' : 'tagged'}: ${taggedCount}`);
console.log(` Total control mappings: ${totalMappings}`);
console.log(` Confidence threshold: ${threshold}`);
if (dryRun) {
console.log('\n💡 Run without --dry-run to apply the tags');
}
}
/**
* Create OSCAL-specific subcommands
*/
private createOSCALCommands(): Command {
const oscalCmd = new Command('oscal');
oscalCmd
.command('generate-ssp')
.description('Generate OSCAL System Security Plan')
.option('-b, --baseline <level>', 'Security baseline', 'moderate')
.option('-f, --format <format>', 'Output format (json|yaml|xml)', 'json')
.action(async (options) => {
const ssp = await this.oscalProcessor.generateSSP(options);
console.log(JSON.stringify(ssp, null, 2));
});
oscalCmd
.command('validate <file>')
.description('Validate OSCAL document')
.action(async (file) => {
const validation = await this.oscalProcessor.validateDocument(file);
console.log(validation.isValid ? '✅ Valid OSCAL document' : '❌ Invalid OSCAL document');
if (validation.errors.length > 0) {
validation.errors.forEach(error => console.log(` • ${error}`));
}
});
return oscalCmd;
}
}
new IntelligentComplianceCLI();
Success Metrics & Validation¶
Technical Excellence¶
- OSCAL Compliance: 100% conformance to NIST OSCAL 1.1.2 specification
- Semantic Accuracy: 90%+ accuracy in control-to-standard mappings
- Automation Coverage: 95%+ of evidence collection automated
- Performance: Sub-10 second full compliance assessment
Business Impact¶
- Setup Time: 2-minute compliance setup for new projects
- Documentation Generation: 5-minute SSP creation vs. 5-week manual process
- Audit Preparation: 4-hour audit package vs. 4-week manual preparation
- Cost Reduction: 90%+ reduction in compliance consulting needs
Innovation Achievements¶
- First OSCAL-native standards repository with semantic intelligence
- LLM-powered semantic mapping with 90%+ accuracy
- Zero-configuration compliance through intelligent automation
- Real-time compliance monitoring with change impact analysis
Implementation Excellence¶
LLM Optimization Features¶
- Semantic Analysis: AI-powered control mapping with confidence scoring
- Natural Language Interface: Ask compliance questions in plain English
- Intelligent Auto-tagging: Automatic NIST control identification in standards
- Smart Gap Analysis: AI-generated remediation plans with effort estimation
OSCAL-Native Architecture¶
- Official NIST Data: Direct integration with usnistgov/oscal-content
- Standards Compliance: Full OSCAL 1.1.2 specification conformance
- Interoperability: Native OSCAL import/export for all major GRC tools
- Future-Proof: Automatic updates from official NIST OSCAL releases
Knowledge Management Integration¶
- Semantic Relationships: Graph-based control interconnections
- Taxonomy Management: Hierarchical organization of security concepts
- Evidence Linkage: Bi-directional traceability between controls and implementations
- Continuous Learning: Self-improving accuracy through usage patterns
This implementation creates a revolutionary compliance platform that transforms compliance from a burden into an automated competitive advantage, positioning your standards repository as the premier solution for OSCAL-native security compliance automation.