1. Monitor all outbound traffic for anomalies
Data exfiltration almost always involves information being sent out of the network, often stealthily. Monitoring outbound traffic patterns and alerting on unusual destinations, volumes, or timing is a foundational data exfiltration detection method. But scale matters. Traditional traffic filtering struggles under modern cloud architectures and fast-changing AI-native applications.
With platforms like Snyk, security teams can detect anomalies with context-aware insights. Visibility into every API call, repo interaction, and AI model dependency allows defenders to distinguish between normal software behavior and real signs of theft. This enables proactive threat hunting before exfiltration succeeds.