Blog

An intro to spatiotemporal analysis covering key datasets, methods, and applications across public safety, national security, public health, and urban planning.

Learn how location intelligence connects SIGINT, OSINT, and GEOINT data layers in ways that speed up investigations and help data and product teams build better products.

Explore the real-time data sources OSINT teams rely on today and learn how location intelligence adds the human movement layer that other sources miss.

Learn how behavioral signals derived from location intelligence reveal intent, predict threats, and transform raw data into actionable intelligence.

Most OSINT tools show where a device has been. This article explains how movement classification turns raw location data into network intelligence.

Implausible movement in location data isn’t always bad data. Learn how these signals reveal quality issues and valuable intelligence insights.

As location data explodes, OSINT teams face noise, validation risk, and slower investigations. Why intelligence-ready data matters more than volume.

Learn about location data’s role in national security use cases, and how an added layer of intelligence to the data itself makes all the difference.

Learn exactly what location data is, the common use cases in both the public sector and commercial space, and the common issues teams face when implementing the data into their offerings.

Learn how RTB data flows through programmatic advertising exchanges and what real-time bidding infrastructure means for location intelligence and OSINT operations.

Learn about the major real-time intelligence data sources that are increasingly leveraged by OSINT and intelligence leaders.

Learn how bidstream data can be an essential source for OSINT and intelligence teams, and what kind of challenges they need to think through for implementation.

Discover how processed and validated location intelligence transforms counterterrorism operations from reactive response to proactive threat disruption.

Learn how location intelligence enhances OSINT threat intelligence operations for national security operations and why built-in analytics makes all the difference for data teams.

Cyberattacks don't start in the network. Learn how location data helps security teams detect physical reconnaissance, insider threats, and APT activity before attacks escalate.

From ransomware attacks against pipelines to the 2015 Ukraine grid breach.

Mobility data offers homeland security agencies visibility into movement patterns that support threat detection and operational planning.

According to Outside Magazine, U.S. national parks clocked 331 million visitors in 2024.

The digital world has dramatically changed counter-intelligence collection, with today’s workflows increasingly relying on publicly available data to detect, prevent, and understand threats.

Pattern of Life Analysis is the study of routine behaviors and movements of individuals or groups over time.

Various areas of the federal government increasingly depend on geolocation data, proving essential for everything from understanding natural disasters to supply chain security and threat mitigation.

Commercial telemetry data refers to the automatic recording and transmission of measurements, logs, metrics, events, and sensor readings broadcast by connected devices and cloud services.

Open Source Intelligence (OSINT) is the process of collecting, analyzing, and contextualizing information from publicly available sources.

In the modern intelligence landscape, OSINT (Open-Source Intelligence) is a vital tool used across government agencies, cybersecurity teams, and risk management operations.

In an increasingly complex geopolitical landscape, the ability to anticipate, assess, and mitigate risk is mission-critical.