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34 results for: "threat detection"


  1. Rohde & Schwarz Cybersecurity and Napatech Launch Advanced Network Threat Detection Solution at Black Hat Europe 2017

    The solution combines a real-time intrusion detection system and network traffic recording capabilities to detect known and unknown cyber threats early on

    Press release Score: 8

  2. How advanced traffic identification complements honeypot networks

    Honeypot networks are fake IT systems used to bait cyberattackers, learn from them and consequently improve actual cybersecurity. They are designed with a well-placed vulnerability to attract hackers. Once a hacker is in the network, the honeypot allows for monitoring and analyzing the malicious activity. For such networks, deep packet inspection is a great asset. It identifies malicious activity almost instantaneously, helping honeypot networks to detect threats as soon as they enter the network.

    Blog post Score: 2

  3. Orsec Technologies SAS embeds R&S®PACE 2

    "The content and metadata extracted from traffic flows by the DPI engine R&S®PACE 2 provides a rich information feed we use to boost our machine learning for user and device behavior analytics. This empowers our solution to [...]

    Success Story Score: 2

  4. DPI-enhanced CASB for tighter security in the cloud

    As a middleman negotiating traffic flows between users on the ground and applications in the cloud, the importance of the cloud access security broker (CASB) continues to grow. But to be able to provide real-time insights, end-to-end visibility and accurate detection of threats and anomalies, DPI engines such as R&S®PACE 2 are a critical addition. By combining the capabilities of both the CASB and DPI, enterprises are sure to be safe as they move their work to the cloud.

    Blog post Score: 2

  5. DPI conquers traffic encryption with machine learning and deep learning

    Encryption keeps packets obscure and safe, but it also poses various visibility and monitoring challenges for network operators. In an encrypted world, how can they maintain accurate traffic visibility and classification for reliable threat detection and network management? The answer is Encrypted Traffic Intelligence (ETI). By incorporating machine learning and deep learning, the DPI engine R&S®PACE 2 is able to deliver this intelligence, providing application awareness for encrypted, obfuscated or anonymized traffic.

    Blog post Score: 2

  6. DPI-powered machine learning for network monitoring software

    Protecting your company’s information from data breaches is an ever-present security concern. Data breaches are all the more serious for small and medium companies who cannot afford a dedicated IT security team. oorigin® by Orsec Technologies incorporates the analytics capabilities of R&S®PACE 2 for a faster and more efficient detection of cyberthreats. Thus, Orsec Technologies is able to offer a high-class product at a price affordable for small and medium companies.

    Case Study Score: 2

  7. Close-up in the cloud: How micro-segmentation benefits from DPI

    Micro-segmentation segregates networks into smaller VLANs or subnets that are accorded their own security functionalities to safeguard cloud applications from laterally moving threats that typically afflict virtual machines and containers in the cloud. The use of DPI in micro-segmentation can greatly aid in securing applications in the cloud or specifically distributed workloads hosted on virtual machines and containers.

    Blog post Score: 2

  8. How subscriber awareness augments mobile network security

    Conventional load balancing across mobile networks leaves network security functions with huge visibility gaps. Furthermore, in the context of 5G, the need for higher bandwidth and speeds across applications that are data-intensive and that connect to multiple end nodes simultaneously poses new challenges for operators. R&S®GSRM in combination with R&S®PACE 2 delivers deeper, more granular insights into the risks and vulnerabilities that are present in a mobile network. Operators benefit from enhanced network intelligence to manage and improve mobile network security.

    Blog post Score: 2

  9. Orsec Technologies boosts next-generation intelligence solution with DPI by Rohde & Schwarz

    Leipzig, Germany – May 22, 2019 – ipoque GmbH, a Rohde & Schwarz company providing market-leading deep packet inspection (DPI) software, today announced that Orsec Technologies SAS has licensed its DPI engine R&S®PACE 2 for their cyber threat hunting solution oorigin®. Providing accurate traffic analytics and a rich set of metadata in real time, R&S®PACE 2 significantly strengthens Orsecs threat hunting capabilities. This allows for more accurate alerts, faster threat detection and enhanced machine learning.

    Press release Score: 0

  10. Data loss prevention: Risk and reputation management with real-time visibility

    To implement data loss prevention (DLP) successfully, organizations must have an in-depth understanding of their business nature, data, transactions, digital assets, endpoints, connectivity, access privileges and existing security policies. This article discusses the need for data loss prevention (DLP) in response to the prevalence of data breaches, infiltration, espionage and data destruction affecting organizations today. It highlights the role of deep packet inspection (DPI) in providing real-time detection of cyber-threats and traffic anomalies and as a means to identify, manage and block both external and insider threats before data security is compromised.

    Blog post Score: 0