The document discusses Cisco's Encrypted Traffic Analytics (ETA) solution. ETA uses machine learning techniques to analyze metadata from encrypted network traffic and detect malware without decrypting traffic. It can identify malware signatures and anomalous behavior in encrypted web, cloud, and internal traffic. ETA extracts features from packet lengths, times, and byte distributions to build detectors that can find known malware in encrypted traffic with high accuracy. The solution provides visibility, compliance monitoring, and threat detection across an organization's entire network, including campus, branch offices, and the cloud.