What methods are used to identify data exfiltration?

Some techniques commonly used to identify data exfiltration and track stolen information in cyber incidents include:

1. Network monitoring and analysis: Monitoring network traffic for unusual spikes in data transfers or unauthorized access can help detect data exfiltration.

2. Endpoint detection and response (EDR): Utilizing EDR solutions to monitor endpoint devices for any suspicious behavior or data being transferred out of the network.

3. Data Loss Prevention (DLP) solutions: Implementing DLP tools to monitor and control the movement of sensitive data within the network can help prevent data exfiltration.

4. User behavior analytics: Analyzing user behavior patterns to detect anomalies that could indicate malicious activity involving data exfiltration.

5. Encryption and data masking: Encrypting sensitive data and using data masking techniques can help protect data from being stolen even if exfiltration is attempted.

6. Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS): Using IDS/IPS to detect and prevent unauthorized access or data transfer attempts within the network.

7. Cyber threat intelligence: Leveraging threat intelligence feeds to stay informed about potential cyber threats and tactics used by threat actors to steal data.

These techniques, when implemented together as part of a comprehensive cybersecurity strategy, can help organizations better identify data exfiltration and track stolen information in cyber incidents.