Data Security

Security Architecture

Our multi-layered security architecture includes:

Security Certifications and Compliance

Certification documentation is available to enterprise customers under NDA.

Encryption

We implement robust encryption protocols throughout our system:

• Encryption in Transit: All data transmitted to and from our API is encrypted using TLS 1.3 with modern cipher suites
• Encryption at Rest: All stored data is encrypted using AES-256 encryption
• Field-Level Encryption: Sensitive data fields receive additional application-level encryption
• Key Management: Encryption keys are managed using hardware security modules (HSMs) and rotated regularly

Access Controls

We enforce strict controls over who can access data:

• Role-Based Access Control (RBAC): Access rights based on job responsibilities
• Principle of Least Privilege: Users have only the minimum access needed
• Multi-Factor Authentication: Required for all internal systems
• Just-in-Time Access: Temporary elevated privileges with approval workflows
• Access Reviews: Regular audits of access rights

Data Isolation

Enterprise customer data is logically isolated:

• Tenant Isolation: Strict logical separation of customer data
• Dedicated Environments: Available for enterprise customers with high security requirements
• Database Segmentation: Separate database instances for sensitive workloads
• Network Isolation: Micro-segmentation prevents lateral movement

Monitoring and Threat Detection

Continuous monitoring for security threats:

• 24/7 Security Operations: Dedicated security team monitoring for threats
• Advanced Threat Detection: AI-powered analysis of security events
• Anomaly Detection: Machine learning models identify unusual access patterns
• Vulnerability Scanning: Regular automated and manual security scans
• Penetration Testing: Regular testing by independent security firms

Authentication

Our API uses secure authentication methods:

Authorization

Control access to specific API features:

// Example: Creating an API key with specific permissions
const apiKey = await telesoft.admin.apiKeys.create({
  name: "Analytics Service Key",
  description: "Limited access for analytics processing",
  permissions: [
    "diagnostics:read",      // Can read diagnostic data
    "analytics:perform",     // Can perform analytics
    "models:predict"         // Can use predictive models
  ],
  restrictions: {
    ipAddresses: ["203.0.113.0/24"], // Restrict to specific IP range
    rateLimits: {                    // Custom rate limits
      requestsPerMinute: 100
    },
    expiresAt: "2023-12-31T23:59:59Z" // Set expiration date
  }
});

// The API key should be securely stored
console.log("New API key:", apiKey.key);
console.log("Key ID for reference:", apiKey.id);

Request Validation

Our API implements multiple validation layers:

• Schema Validation: All requests are validated against strict JSON schemas
• Input Sanitization: Potentially dangerous inputs are sanitized
• Content-Type Enforcement: Strict validation of Content-Type headers
• Request Size Limits: Prevention of denial-of-service via large payloads
• Rate Limiting: Protection against brute force and DoS attacks

Secure Authentication Implementation

// DON'T: Store API keys in client-side code
// This exposes your key to anyone who views your source
const telesoftClient = new TelesoftClient({
  apiKey: "sk_live_abcdefghijklmnopqrstuvwxyz" // EXPOSED IN CLIENT CODE
});

// DO: Use a backend service to handle API requests
// Frontend code (React example)
async function getAnalysis(patientData) {
  const response = await fetch('/api/analyze', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({ patientData })
  });
  return response.json();
}

// Backend code (Node.js example)
// In a secure server environment
app.post('/api/analyze', async (req, res) => {
  try {
    // API key stored in environment variable
    const apiKey = process.env.TELESOFT_API_KEY;
    
    const telesoftClient = new TelesoftClient({
      apiKey: apiKey
    });
    
    const analysis = await telesoftClient.analyze(req.body.patientData);
    res.json(analysis);
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ error: 'Analysis failed' });
  }
});

Input Validation

// Validate all inputs before sending to Telesoft API
function validatePatientData(data) {
  const errors = [];
  
  // Check required fields
  if (!data.age) errors.push("Age is required");
  if (!data.symptoms || !Array.isArray(data.symptoms)) {
    errors.push("Symptoms must be an array");
  }
  
  // Validate numeric ranges
  if (data.age < 0 || data.age > 120) {
    errors.push("Age must be between 0 and 120");
  }
  
  // Sanitize text fields to prevent injection attacks
  if (data.notes) {
    data.notes = sanitizeText(data.notes);
  }
  
  // Check for suspicious patterns in input
  if (containsSuspiciousPatterns(data)) {
    errors.push("Input contains suspicious patterns");
  }
  
  return {
    isValid: errors.length === 0,
    errors,
    sanitizedData: data
  };
}

// Validate before sending to API
const validation = validatePatientData(patientData);
if (!validation.isValid) {
  throw new Error(`Invalid data: ${validation.errors.join(', ')}`);
}

// Use sanitized data for API call
const analysis = await telesoft.analyze(validation.sanitizedData);

Secure Data Handling

• Only collect and transmit data necessary for the intended function
• Implement appropriate access controls for stored results
• Encrypt sensitive data at rest in your application
• Implement secure data deletion practices when data is no longer needed
• Use secure session handling to prevent unauthorized access to results

Error Handling

Implement secure error handling practices:

// Secure error handling example
try {
  const result = await telesoft.analyze(patientData);
  // Process successful result
} catch (error) {
  // Log error details securely
  logger.error('API error', {
    errorType: error.type,
    errorCode: error.code,
    requestId: error.requestId,
    // Don't log full patient data or sensitive details
  });
  
  // Return safe error message to user
  if (error.type === 'authentication_error') {
    return { error: 'Authentication failed. Please contact support.' };
  } else if (error.type === 'validation_error') {
    return { error: 'Invalid input data. Please check your submission.' };
  } else {
    // Generic error for other cases to avoid leaking implementation details
    return { error: 'An error occurred. Please try again later.' };
  }
}

Data Retention

Configure customized data retention policies through our API:

// Example: Setting data retention policies
await telesoft.admin.dataRetention.configure({
  // Configure retention for different data types
  inputData: {
    retentionPeriod: "7d",     // Options: "immediate", "1d", "7d", "30d", "90d", "1y"
    retentionType: "deleted"  // Options: "deleted", "anonymized"
  },
  
  analysisResults: {
    retentionPeriod: "30d",
    retentionType: "anonymized"
  },
  
  auditLogs: {
    retentionPeriod: "1y",  // Longer retention for compliance
    retentionType: "deleted"
  }
});

// Immediately delete specific data
await telesoft.admin.dataRetention.deleteData({
  requestIds: ["req_123456789", "req_987654321"],
  deleteType: "permanent" // Options: "permanent", "soft-delete"
});

Enterprise customers can configure custom retention periods based on their specific compliance requirements.

Data Minimization

Strategies to minimize data exposure:

• De-identification: Remove or mask identifying information
• Tokenization: Replace sensitive data with non-sensitive tokens
• Data Filtering: Only transmit relevant fields
• Aggregation: Use aggregated data when individual records aren't needed

Data Export and Portability

Securely access and export your data:

// Example: Exporting data
const exportJob = await telesoft.admin.data.export({
  dataTypes: ["analyses", "predictions", "usage"],
  dateRange: {
    startDate: "2023-01-01",
    endDate: "2023-03-31"
  },
  format: "json", // Options: "json", "csv", "fhir"
  encryption: {
    enabled: true,
    publicKey: "-----BEGIN PUBLIC KEY-----\n...\n-----END PUBLIC KEY-----"
  }
});

// Check export status
const exportStatus = await telesoft.admin.data.getExportStatus({
  jobId: exportJob.id
});

if (exportStatus.status === "completed") {
  // Download the encrypted export
  const exportUrl = exportStatus.downloadUrl;
  console.log("Export available at:", exportUrl);
}

Security Incident Management

In the event of a security incident, Telesoft follows a comprehensive incident response process:

1. Detection: Continuous monitoring systems identify potential incidents
2. Containment: Rapid measures to limit the impact of the incident
3. Eradication: Removal of the threat from all affected systems
4. Recovery: Restoration of systems to normal operation
5. Post-Incident Analysis: Detailed investigation and lessons learned
6. Notification: Timely communication to affected customers

Breach Notification

In the unlikely event of a data breach affecting your data:

• We will notify affected customers within 72 hours of confirmation
• Notification includes details of the breach, data affected, and remediation steps
• Enterprise customers receive priority communication and dedicated support
• We provide assistance with regulatory reporting obligations

Security Contacts

To report security vulnerabilities or concerns:

• Security Team Email: security@telesoft.us
• Responsible Disclosure Program: https://telesoft.us/security/disclosure
• Emergency Contact: Available to enterprise customers