The dynamic and stealthy nature of modern cyber threats has placed DNS at the forefront of network security analytics. As a foundational protocol for virtually all internet communication, DNS is frequently abused by malicious actors for command-and-control signaling, data exfiltration, domain generation algorithms, and infrastructure reconnaissance. With organizations collecting terabytes of DNS logs daily, traditional…

DNS Security Extensions, or DNSSEC, were introduced to address fundamental vulnerabilities in the original DNS protocol by enabling origin authentication of DNS data through digital signatures. The adoption of DNSSEC has been a gradual and uneven process across the global internet, shaped by technical complexity, operational overhead, and inconsistent incentives. While root and top-level domains…

The collection and analysis of DNS telemetry within large-scale enterprise networks has become foundational for threat detection, policy enforcement, and operational insight. DNS logs provide deep visibility into endpoint behavior, application usage, and network interactions. However, the same characteristics that make DNS such a rich data source also raise significant privacy concerns. DNS queries, even…

As digital infrastructures expand and cybersecurity threats grow in both volume and sophistication, organizations are increasingly required to retain DNS logs for extended periods. These logs serve numerous purposes, including forensic investigations, compliance audits, network diagnostics, performance monitoring, threat hunting, and machine learning applications. However, DNS logs are high-velocity and high-volume by nature, often growing…

DNS tunneling represents a significant threat to network security, exploiting the DNS protocol to covertly transmit data across networks that may otherwise restrict traditional communication channels. Attackers leverage DNS queries and responses to encode information, effectively creating a bidirectional communication channel that can bypass firewalls, proxies, and other security mechanisms. This technique has become increasingly…

The popularity of domain names—measured by the volume, diversity, and frequency of DNS queries—is a powerful proxy for understanding internet behavior, forecasting traffic patterns, and anticipating infrastructure demands. From content delivery networks and search engines to cybersecurity teams and digital marketing firms, the ability to predict which domains will trend upward or downward in usage…

The transition from IPv4 to IPv6 has been a long-anticipated evolution in the architecture of the global internet, driven by the exhaustion of IPv4 address space and the need for scalable, modern addressing. While IPv6 has been supported by major operating systems, service providers, and content platforms for years, its real-world adoption remains highly variable…

The ability to analyze historical DNS data at scale has become indispensable for organizations seeking to understand long-term usage patterns, detect subtle threat signals, and optimize their network infrastructure. DNS logs, which record every resolution request within an enterprise or across internet-scale observatories, offer a rich but challenging dataset. Their high velocity, cardinality, and dimensionality…

In today’s hyperscale enterprise environments, where hundreds of thousands of devices and services rely on timely and accurate DNS resolution, even minor disruptions in DNS infrastructure can cascade into major outages or degraded service experiences. Root cause analysis (RCA) of DNS-related incidents has traditionally been a reactive, manual process involving multiple tiers of technical support,…

In enterprise environments where DNS telemetry is collected at massive scale and used across multiple departments, the need to control access to DNS data becomes as critical as the need to analyze it. Business intelligence dashboards built atop DNS data lakes provide rich insights into query volumes, domain categorization trends, security threat detections, and performance…