Automated Intelligence

AI Oversight

Set up AI-powered monitors that continuously scan for brand mentions, unauthorized content use, agent anomalies, and compliance violations. Get automated alerts and detailed reports.

Monitor Types

DRD provides four categories of AI-powered monitors, each optimized for different oversight scenarios.

Brand Monitor

Track mentions of your brand, products, or executives across web, social, and AI outputs.

Brand name and trademark misuse detection
Tone and voice consistency scoring
Competitor mention tracking
Sentiment analysis on brand-related outputs
Logo and visual identity scanning

Content Monitor

Detect unauthorized use of your content in AI-generated outputs, websites, and publications.

Hallucination detection and fact-checking
PII and sensitive data leak prevention
Copyright and licensing compliance
Toxicity and bias scoring
Output format and schema validation

Agent Behavior Monitor

Track AI agent actions, detect anomalies, and flag potential policy violations.

Action frequency and pattern analysis
Resource consumption monitoring (tokens, API calls)
Decision drift detection (changing behavior over time)
Error rate and latency tracking
Capability boundary enforcement

Compliance Monitor

Continuously verify compliance with regulatory frameworks and internal policies.

EU AI Act risk classification and requirements tracking
GDPR data processing audit for AI workflows
SOC 2 control mapping and evidence collection
NIST AI RMF alignment scoring
Custom framework rule definitions

Setting Up Monitors

Create monitors through the API or SDK to start continuous scanning.

POST /api/aio/monitors

{
  "name": "Brand Mention Tracker",
  "type": "brand",
  "config": {
    "keywords": ["Acme Corp", "AcmeAI", "acme.com"],
    "excludeKeywords": ["acme hardware"],
    "sources": ["web", "social", "ai_outputs"],
    "sentiment": true,
    "language": ["en", "es", "fr"]
  },
  "schedule": {
    "frequency": "hourly",
    "timezone": "America/New_York"
  },
  "alerts": {
    "channels": ["webhook", "email"],
    "conditions": {
      "sentiment": "negative",
      "volumeSpike": 2.0
    }
  }
}

// Response
{
  "monitorId": "mon_abc123",
  "name": "Brand Mention Tracker",
  "status": "active",
  "nextScanAt": "2026-02-12T11:00:00Z",
  "createdAt": "2026-02-12T10:30:00Z"
}

Mention Detection

The mention detection engine uses NLP to find references to your brand, products, or content -- even when they are paraphrased or misspelled.

mention-detection.ts

import { DRD } from '@drd/sdk';

const drd = new DRD({ apiKey: process.env.DRD_API_KEY });

// Get recent mentions
const mentions = await drd.aio.getMentions('mon_abc123', {
  since: '24h',
  sentiment: 'all',
  sources: ['web', 'social'],
});

for (const mention of mentions.items) {
  console.log(mention.source);        // 'twitter'
  console.log(mention.content);       // 'Acme Corp AI agent went rogue...'
  console.log(mention.sentiment);     // 'negative'
  console.log(mention.confidence);    // 0.92
  console.log(mention.url);           // 'https://twitter.com/...'
  console.log(mention.detectedAt);    // '2026-02-12T10:15:00Z'
}

// Get mention analytics
const analytics = await drd.aio.getMentionAnalytics('mon_abc123', {
  period: '7d',
  groupBy: 'source',
});

console.log(analytics.totalMentions);      // 342
console.log(analytics.sentimentBreakdown); // { positive: 210, neutral: 98, negative: 34 }
console.log(analytics.topSources);         // [{ source: 'twitter', count: 156 }, ...]

Automated Scanning

Monitors run on configurable schedules, scanning across multiple data sources.

Supported Sources

Web Search

Major search engines and news aggregators

Social Media

Twitter/X, LinkedIn, Reddit, and other platforms

AI Outputs

ChatGPT, Claude, Gemini, and other AI model outputs

Code Repositories

GitHub, GitLab, and package registries

Dark Web

Tor hidden services and underground forums

Academic Papers

arXiv, Semantic Scholar, and research databases

manual-scan.ts

// Trigger an immediate scan
const scan = await drd.aio.triggerScan('mon_abc123', {
  sources: ['web', 'ai_outputs'],
  depth: 'deep',
});

// Wait for scan completion
const result = await drd.aio.waitForScan(scan.scanId);
console.log(result.mentionsFound);    // 15
console.log(result.newMentions);      // 3
console.log(result.scanDuration);     // '2m 34s'

Alert Configuration

Configure alerts to be notified when monitors detect important changes.

alert-config.ts

// Configure alert rules for a monitor
await drd.aio.configureAlerts('mon_abc123', {
  rules: [
    {
      name: 'Negative Sentiment Spike',
      condition: {
        type: 'sentiment',
        sentiment: 'negative',
        threshold: 10,    // 10+ negative mentions
        window: '1h',
      },
      channels: ['slack', 'email'],
      severity: 'high',
    },
    {
      name: 'Unauthorized Content Use',
      condition: {
        type: 'content_match',
        confidence: 0.85,
      },
      channels: ['webhook', 'pagerduty'],
      severity: 'critical',
      autoActions: ['create_dmca_draft'],
    },
  ],
});

Alert Webhook Payload

aio-alert-webhook.json

{
  "event": "aio.alert.fired",
  "timestamp": "2026-02-12T10:30:00Z",
  "data": {
    "monitorId": "mon_abc123",
    "monitorName": "Brand Mention Tracker",
    "ruleName": "Negative Sentiment Spike",
    "severity": "high",
    "summary": "15 negative mentions detected in the last hour",
    "mentions": [
      {
        "source": "twitter",
        "content": "Acme Corp AI completely failed...",
        "sentiment": "negative",
        "url": "https://twitter.com/user/status/123"
      }
    ],
    "analytics": {
      "totalNegative": 15,
      "window": "1h",
      "previousAverage": 2
    }
  }
}

Reporting

Generate comprehensive oversight reports for stakeholders and compliance teams.

Executive Summary

High-level overview of monitoring activity, key metrics, and actionable insights.

Incident Report

Detailed breakdown of alerts fired, actions taken, and resolution status.

Compliance Report

Audit-ready reports showing monitoring coverage, response times, and compliance status.

generate-report.ts

// Generate an executive summary report
const report = await drd.aio.generateReport({
  type: 'executive_summary',
  monitors: ['mon_abc123', 'mon_def456'],
  period: '30d',
  format: 'pdf',
});

console.log(report.downloadUrl);   // 'https://drd.io/reports/rpt_abc123.pdf'

Compliance Monitor Setup

Create a compliance monitor to continuously validate AI systems against regulatory frameworks.

compliance-monitor.ts

// Create a compliance monitor via SDK
const complianceMonitor = await drd.aio.createMonitor({
  type: 'compliance',
  name: 'EU AI Act - High Risk',
  description: 'Monitor compliance with EU AI Act high-risk requirements',
  enabled: true,
  targets: { allAgents: true },
  framework: 'eu-ai-act',
  riskClassification: 'high',
  rules: [
    {
      metric: 'compliance.transparency_score',
      operator: 'less_than',
      threshold: 0.8,
      severity: 'high',
      message: 'Transparency requirements not fully met',
    },
    {
      metric: 'compliance.human_oversight',
      operator: 'equals',
      threshold: false,
      severity: 'critical',
      message: 'Human oversight mechanism not detected',
    },
  ],
  reporting: {
    schedule: 'weekly',
    recipients: ['compliance@yourcompany.com'],
    format: 'pdf',
  },
});

Scheduled Reports

Set up recurring reports delivered automatically to your team.

scheduled-reports.ts

await drd.aio.scheduleReport({
  name: 'Weekly AI Oversight Summary',
  monitors: 'all',
  schedule: '0 9 * * MON',   // Every Monday at 9 AM
  format: 'pdf',
  recipients: [
    'ai-governance@yourcompany.com',
    'cto@yourcompany.com',
  ],
  timezone: 'America/New_York',
});

Dashboard Access

All monitors and reports are also accessible from the DRD dashboard at app.drd.io/oversight. The dashboard provides real-time visualization with drill-down into individual alerts.

API Reference

Complete REST API endpoints for AI Oversight management.

Method	Path	Description
GET	/aio/monitors	List all monitors
POST	/aio/monitors	Create a new monitor
GET	/aio/monitors/:id	Get monitor details and status
PATCH	/aio/monitors/:id	Update monitor configuration
DELETE	/aio/monitors/:id	Delete a monitor
GET	/aio/monitors/:id/alerts	List alerts for a monitor
POST	/aio/reports	Generate an on-demand report
GET	/aio/reports/:id	Get report status and download URL
POST	/aio/reports/schedule	Create a scheduled report
GET	/aio/dashboard/summary	Get workspace-wide oversight summary

Next Steps

Monitoring

Agent-specific monitoring rules

Learn more →

Deepfake Detection

Detect synthetic content

Learn more →

Compliance

Compliance monitoring and audits

Learn more →

Trust Badges

Earn certified trust status for AI-powered operations

Learn more →

Automated Intelligence

AI Oversight

Set up AI-powered monitors that continuously scan for brand mentions, unauthorized content use, agent anomalies, and compliance violations. Get automated alerts and detailed reports.

Monitor Types

DRD provides four categories of AI-powered monitors, each optimized for different oversight scenarios.

Brand Monitor

Track mentions of your brand, products, or executives across web, social, and AI outputs.

Brand name and trademark misuse detection
Tone and voice consistency scoring
Competitor mention tracking
Sentiment analysis on brand-related outputs
Logo and visual identity scanning

Content Monitor

Detect unauthorized use of your content in AI-generated outputs, websites, and publications.

Hallucination detection and fact-checking
PII and sensitive data leak prevention
Copyright and licensing compliance
Toxicity and bias scoring
Output format and schema validation

Agent Behavior Monitor

Track AI agent actions, detect anomalies, and flag potential policy violations.

Action frequency and pattern analysis
Resource consumption monitoring (tokens, API calls)
Decision drift detection (changing behavior over time)
Error rate and latency tracking
Capability boundary enforcement

Compliance Monitor

Continuously verify compliance with regulatory frameworks and internal policies.

EU AI Act risk classification and requirements tracking
GDPR data processing audit for AI workflows
SOC 2 control mapping and evidence collection
NIST AI RMF alignment scoring
Custom framework rule definitions

Setting Up Monitors

Create monitors through the API or SDK to start continuous scanning.

POST /api/aio/monitors

{
  "name": "Brand Mention Tracker",
  "type": "brand",
  "config": {
    "keywords": ["Acme Corp", "AcmeAI", "acme.com"],
    "excludeKeywords": ["acme hardware"],
    "sources": ["web", "social", "ai_outputs"],
    "sentiment": true,
    "language": ["en", "es", "fr"]
  },
  "schedule": {
    "frequency": "hourly",
    "timezone": "America/New_York"
  },
  "alerts": {
    "channels": ["webhook", "email"],
    "conditions": {
      "sentiment": "negative",
      "volumeSpike": 2.0
    }
  }
}

// Response
{
  "monitorId": "mon_abc123",
  "name": "Brand Mention Tracker",
  "status": "active",
  "nextScanAt": "2026-02-12T11:00:00Z",
  "createdAt": "2026-02-12T10:30:00Z"
}

Mention Detection

The mention detection engine uses NLP to find references to your brand, products, or content -- even when they are paraphrased or misspelled.

mention-detection.ts

import { DRD } from '@drd/sdk';

const drd = new DRD({ apiKey: process.env.DRD_API_KEY });

// Get recent mentions
const mentions = await drd.aio.getMentions('mon_abc123', {
  since: '24h',
  sentiment: 'all',
  sources: ['web', 'social'],
});

for (const mention of mentions.items) {
  console.log(mention.source);        // 'twitter'
  console.log(mention.content);       // 'Acme Corp AI agent went rogue...'
  console.log(mention.sentiment);     // 'negative'
  console.log(mention.confidence);    // 0.92
  console.log(mention.url);           // 'https://twitter.com/...'
  console.log(mention.detectedAt);    // '2026-02-12T10:15:00Z'
}

// Get mention analytics
const analytics = await drd.aio.getMentionAnalytics('mon_abc123', {
  period: '7d',
  groupBy: 'source',
});

console.log(analytics.totalMentions);      // 342
console.log(analytics.sentimentBreakdown); // { positive: 210, neutral: 98, negative: 34 }
console.log(analytics.topSources);         // [{ source: 'twitter', count: 156 }, ...]

Automated Scanning

Monitors run on configurable schedules, scanning across multiple data sources.

Supported Sources

Web Search

Major search engines and news aggregators

Social Media

Twitter/X, LinkedIn, Reddit, and other platforms

AI Outputs

ChatGPT, Claude, Gemini, and other AI model outputs

Code Repositories

GitHub, GitLab, and package registries

Dark Web

Tor hidden services and underground forums

Academic Papers

arXiv, Semantic Scholar, and research databases

manual-scan.ts

// Trigger an immediate scan
const scan = await drd.aio.triggerScan('mon_abc123', {
  sources: ['web', 'ai_outputs'],
  depth: 'deep',
});

// Wait for scan completion
const result = await drd.aio.waitForScan(scan.scanId);
console.log(result.mentionsFound);    // 15
console.log(result.newMentions);      // 3
console.log(result.scanDuration);     // '2m 34s'

Alert Configuration

Configure alerts to be notified when monitors detect important changes.

alert-config.ts

// Configure alert rules for a monitor
await drd.aio.configureAlerts('mon_abc123', {
  rules: [
    {
      name: 'Negative Sentiment Spike',
      condition: {
        type: 'sentiment',
        sentiment: 'negative',
        threshold: 10,    // 10+ negative mentions
        window: '1h',
      },
      channels: ['slack', 'email'],
      severity: 'high',
    },
    {
      name: 'Unauthorized Content Use',
      condition: {
        type: 'content_match',
        confidence: 0.85,
      },
      channels: ['webhook', 'pagerduty'],
      severity: 'critical',
      autoActions: ['create_dmca_draft'],
    },
  ],
});

Alert Webhook Payload

aio-alert-webhook.json

{
  "event": "aio.alert.fired",
  "timestamp": "2026-02-12T10:30:00Z",
  "data": {
    "monitorId": "mon_abc123",
    "monitorName": "Brand Mention Tracker",
    "ruleName": "Negative Sentiment Spike",
    "severity": "high",
    "summary": "15 negative mentions detected in the last hour",
    "mentions": [
      {
        "source": "twitter",
        "content": "Acme Corp AI completely failed...",
        "sentiment": "negative",
        "url": "https://twitter.com/user/status/123"
      }
    ],
    "analytics": {
      "totalNegative": 15,
      "window": "1h",
      "previousAverage": 2
    }
  }
}

Reporting

Generate comprehensive oversight reports for stakeholders and compliance teams.

Executive Summary

High-level overview of monitoring activity, key metrics, and actionable insights.

Incident Report

Detailed breakdown of alerts fired, actions taken, and resolution status.

Compliance Report

Audit-ready reports showing monitoring coverage, response times, and compliance status.

generate-report.ts

// Generate an executive summary report
const report = await drd.aio.generateReport({
  type: 'executive_summary',
  monitors: ['mon_abc123', 'mon_def456'],
  period: '30d',
  format: 'pdf',
});

console.log(report.downloadUrl);   // 'https://drd.io/reports/rpt_abc123.pdf'

Compliance Monitor Setup

Create a compliance monitor to continuously validate AI systems against regulatory frameworks.

compliance-monitor.ts

// Create a compliance monitor via SDK
const complianceMonitor = await drd.aio.createMonitor({
  type: 'compliance',
  name: 'EU AI Act - High Risk',
  description: 'Monitor compliance with EU AI Act high-risk requirements',
  enabled: true,
  targets: { allAgents: true },
  framework: 'eu-ai-act',
  riskClassification: 'high',
  rules: [
    {
      metric: 'compliance.transparency_score',
      operator: 'less_than',
      threshold: 0.8,
      severity: 'high',
      message: 'Transparency requirements not fully met',
    },
    {
      metric: 'compliance.human_oversight',
      operator: 'equals',
      threshold: false,
      severity: 'critical',
      message: 'Human oversight mechanism not detected',
    },
  ],
  reporting: {
    schedule: 'weekly',
    recipients: ['compliance@yourcompany.com'],
    format: 'pdf',
  },
});

Scheduled Reports

Set up recurring reports delivered automatically to your team.

scheduled-reports.ts

await drd.aio.scheduleReport({
  name: 'Weekly AI Oversight Summary',
  monitors: 'all',
  schedule: '0 9 * * MON',   // Every Monday at 9 AM
  format: 'pdf',
  recipients: [
    'ai-governance@yourcompany.com',
    'cto@yourcompany.com',
  ],
  timezone: 'America/New_York',
});

Dashboard Access

All monitors and reports are also accessible from the DRD dashboard at app.drd.io/oversight. The dashboard provides real-time visualization with drill-down into individual alerts.

API Reference

Complete REST API endpoints for AI Oversight management.

Method	Path	Description
GET	/aio/monitors	List all monitors
POST	/aio/monitors	Create a new monitor
GET	/aio/monitors/:id	Get monitor details and status
PATCH	/aio/monitors/:id	Update monitor configuration
DELETE	/aio/monitors/:id	Delete a monitor
GET	/aio/monitors/:id/alerts	List alerts for a monitor
POST	/aio/reports	Generate an on-demand report
GET	/aio/reports/:id	Get report status and download URL
POST	/aio/reports/schedule	Create a scheduled report
GET	/aio/dashboard/summary	Get workspace-wide oversight summary

Next Steps

Monitoring

Agent-specific monitoring rules

Learn more →

Deepfake Detection

Detect synthetic content

Learn more →

Compliance

Compliance monitoring and audits

Learn more →

Trust Badges

Earn certified trust status for AI-powered operations

Learn more →