Category: DNS and Big Data

The rise of privacy-centric regulations such as the General Data Protection Regulation (GDPR) has dramatically reshaped how organizations manage, store, and process personal data. While much of the regulatory focus has historically been on structured datasets like customer databases or CRM systems, the reach of GDPR extends to all forms of data, including the semi-structured…

DNS, as the cornerstone of modern internet connectivity, provides a continuous, granular view of device and user behavior across networks. Every domain name query carries embedded intent—whether it’s a user accessing a cloud service, an IoT device checking in with its management platform, or a piece of malware seeking its command-and-control server. Understanding the intent…

The vast scale and high granularity of DNS telemetry make it an ideal source for understanding how users and devices interact with the internet across both time and space. By analyzing the geographic distribution of DNS queries, organizations can gain insights into regional demand patterns, uncover the geographic reach of malware campaigns, evaluate CDN performance,…

DNS records, fundamental to the operation of the internet, are constantly created, updated, and removed across the vast, distributed infrastructure of global name servers. Each record—whether an A record mapping a domain to an IP address, a CNAME for aliasing, or an MX record for email routing—has a lifespan that can range from a few…

In modern network environments, gaining visibility into encrypted traffic is one of the most pressing challenges for security analysts, threat hunters, and network engineers alike. While encryption protects privacy and data integrity, it also obscures content and can mask malicious behavior if not properly monitored. To navigate this challenge, the joint analysis of DNS queries…

DNS threat scoring is a foundational concept in modern security architectures, where each domain queried by a user or system is assigned a risk value based on a wide range of behavioral, contextual, and threat intelligence indicators. These scores are generated by analyzing DNS logs at scale, incorporating machine learning models, reputation databases, anomaly detection…

As the role of DNS expands beyond basic name resolution into a central pillar of observability, security telemetry, and network intelligence, the need for accessible, real-time insights into DNS traffic patterns has grown substantially. Security analysts, network engineers, SOC teams, and even business units now seek to interrogate DNS data to answer operational questions, detect…

As the volume and velocity of DNS traffic continue to rise across globally distributed networks, traditional centralized approaches to DNS threat detection are reaching scalability and latency limits. With the proliferation of edge computing environments—including branch offices, IoT ecosystems, 5G deployments, and mobile edge computing platforms—there is a growing need to perform DNS-based threat detection…

DNS caching is a critical performance optimization in both enterprise and ISP-scale infrastructure, allowing recursive resolvers to serve responses quickly by storing recently queried domain records locally. Prefetching, the act of anticipating and loading DNS records into cache before they are explicitly requested again by clients, adds another layer of efficiency, aiming to reduce perceived…

DNS telemetry has become a foundational pillar of observability and security in modern digital infrastructure, producing rich, continuous streams of metrics that capture service behavior, client access patterns, resolution latencies, failure modes, and usage trends. These metrics are essential not only for understanding DNS performance and availability but also for surfacing early signs of compromise,…