Deep packet inspection | Breaking Cybersecurity News | The Hacker News

Today, most Network Detection and Response (NDR) solutions rely on traffic mirroring and Deep Packet Inspection (DPI). Traffic mirroring is typically deployed on a single-core switch to provide a copy of the network traffic to a sensor that uses DPI to thoroughly analyze the payload. While this approach provides detailed analysis, it requires large amounts of processing power and is blind when it comes to encrypted network traffic. Metadata Analysis has been specifically developed to overcome these limitations. By utilizing metadata for analysis, network communications can be observed at any collection point and be enriched by the information providing insights about encrypted communication. Network Detection and Response (NDR) solutions have become crucial to reliably monitor and protect network operations. However, as network traffic becomes encrypted and data volumes continue to increase, most traditional NDR solutions are reaching their limits. This begs the question: What detect...

Governments in Turkey and Syria have been caught hijacking local internet users' connections to secretly inject surveillance malware, while the same mass interception technology has been found secretly injecting browser-based cryptocurrency mining scripts into users' web traffic in Egypt. Governments, or agencies linked to it, and ISPs in the three countries are using Deep Packet Inspection technology from Sandvine (which merged with Procera Networks last year), to intercept and alter Internet users' web traffic. Deep packet inspection technology allows ISPs to prioritize, degrade, block, inject, and log various types of Internet traffic, in other words, they can analyze each packet in order to see what you are doing online. According to a new report by Citizen Lab, Turkey's Telecom network was using Sandvine PacketLogic devices to redirect hundreds of targeted users (journalists, lawyers, and human rights defenders) to malicious versions of legitimate progra...

Every week seems to bring news of another data breach, and it's no surprise why: securing sensitive data has become harder than ever. And it's not just because companies are dealing with orders of magnitude more data. Data flows and user roles are constantly shifting, and data is stored across multiple technologies and cloud environments. Not to mention, compliance requirements are only getting stricter and more elaborate.  The problem is that while the data landscape has evolved rapidly, the usual strategies for securing that data are stuck in the past. Gone are the days when data lived in predictable places, with access controlled by a chosen few. Today, practically every department in the business needs to use customer data, and AI adoption means huge datasets, and a constant flux of permissions, use cases, and tools. Security teams are struggling to implement effective strategies for securing sensitive data, and a new crop of tools, called data security platforms, have appear...