Automatically collect, validate, and categorize compliance evidence from 20+ integrations using artificial intelligence, eliminating 80% of manual evidence gathering tasks.
AI scans all connected integrations and identifies potential evidence sources based on control requirements and framework mappings.
// AI Evidence Discovery Engine
class EvidenceDiscovery {
async discoverSources(controlId, framework) {
const sources = await this.aiAnalyzer.identifyEvidenceSources({
control: controlId,
framework: framework,
integrations: this.getActiveIntegrations()
});
return sources.map(source => ({
...source,
confidence: source.aiConfidence,
relevance: source.relevanceScore
}));
}
}
AI automatically retrieves evidence from identified sources, handling API rate limits, authentication, and data transformation.
// Automated Evidence Collection
class EvidenceCollector {
async collectEvidence(sources) {
const evidence = await Promise.all(
sources.map(async source => {
const data = await this.apiManager.fetch(source);
return {
...data,
collectedAt: new Date(),
source: source.name,
aiProcessed: true
};
})
);
return evidence;
}
}
Machine learning models classify and categorize evidence based on content analysis, control mapping, and compliance framework requirements.
// AI Evidence Classification
class EvidenceClassifier {
async classifyEvidence(evidence) {
const classification = await this.mlModel.predict({
content: evidence.content,
metadata: evidence.metadata,
source: evidence.source
});
return {
...evidence,
category: classification.category,
controlMapping: classification.controls,
confidence: classification.confidence,
tags: classification.suggestedTags
};
}
}
AI validates evidence quality, completeness, and compliance relevance using natural language processing and pattern recognition.
// AI Evidence Validation
class EvidenceValidator {
async validateEvidence(evidence) {
const validation = await this.aiValidator.analyze({
content: evidence.content,
requirements: this.getControlRequirements(evidence.controlMapping),
historicalData: this.getHistoricalEvidence(evidence.type)
});
return {
...evidence,
isValid: validation.isValid,
validationScore: validation.score,
issues: validation.identifiedIssues,
suggestions: validation.improvements
};
}
}
AI correlates related evidence across different sources and timeframes to build comprehensive compliance proof packages.
// Evidence Correlation Engine
class EvidenceCorrelator {
async correlateEvidence(evidenceSet) {
const correlations = await this.aiCorrelator.findRelationships({
evidence: evidenceSet,
timeWindow: '30d',
confidenceThreshold: 0.8
});
return correlations.map(group => ({
controlId: group.control,
evidencePackage: group.relatedEvidence,
completeness: group.completenessScore,
aiInsights: group.correlationInsights
}));
}
}
AI continuously monitors evidence sources for changes, updates, and new evidence, maintaining real-time compliance status.
// Continuous Evidence Monitoring
class EvidenceMonitor {
async startContinuousMonitoring() {
setInterval(async () => {
const changes = await this.changeDetector.detectChanges();
for (const change of changes) {
await this.processChange(change);
await this.updateComplianceStatus(change.controlId);
await this.notifyStakeholders(change);
}
}, this.monitoringInterval);
}
}
Reduction in manual evidence collection time
Evidence validation accuracy
Evidence collection and validation
Evidence source coverage