Smuggling networks, state-backed sabotage and other threats make today’s maritime domain a contested space. Governments and coast guards face the challenge of securing vast sea zones and coast lines where criminal activity, conflict and commerce overlap. One of the most striking examples is the rise of “narco subs” operated by cartels. These low-profile fiberglass vessels…
Borders today are flashpoints. Alongside traditional military threats, security forces must confront cross-border crime, irregular migration, sanctions evasion and hybrid warfare tactics. Relying on siloed sensors or single-domain analysis is no longer enough. Vital clues and information must be sifted through and analyzed across communications networks, electromagnetic spectrum, imagery domains and in the field. Modern…
In today’s fast-paced world, public safety agencies are turning to technology to stay ahead of threats. The most innovative agencies are transforming public safety by replacing reactive responses with proactive strategies. Predictive analytics, which leverages historical and real-time data, is rapidly reshaping how law enforcement, emergency responders and risk managers anticipate events before they happen…
Criminal gangs no longer operate solely on the streets. They’re using digital platforms to scale a wide range of criminal activities, such as drug trafficking, extortion and money laundering, and to coordinate across borders with minimal physical presence. From extortion and human trafficking to identity theft or fraud using encrypted apps and anonymous networks, criminal…
Knowledge graph software is transforming how law enforcement agencies investigate and combat crime. Faced with complex criminal networks, sprawling digital footprints and tight investigative timelines, today’s law enforcement agencies (LEAs) need to go beyond traditional analytical tools. Knowledge graph software solutions are used not only to store records but also to uncover patterns and relationships…
Law enforcement agencies today are overwhelmed by the massive volumes of data that could be relevant to their investigations. This data comes from an endless variety of sources – smartphones, social media, wearables, body cameras, license plate cameras, CCTV and financial transactions – to name a few. Analyzing these massive datasets can provide critical insights…
In today’s digital and hyperconnected world, financial crime is evolving at an unprecedented pace. From global money laundering operations to multi-layered fraud networks, criminal enterprises are using advanced technologies to outpace traditional investigative methods. For law enforcement agencies, staying ahead requires more than expertise and intuition, it demands purpose-built financial crime software, powered by AI….
What happens when law enforcement agencies have more data than they can handle, but still can’t find the answers they need? That’s the challenge facing agencies today, says intelligence and law enforcement expert Shane Britten. In Cognyte’s latest webinar, From Covert Ops to Crime Stoppers: Navigating Data in Law Enforcement, Britten, a former director at…
Law enforcement agencies are dealing with an overwhelming volume of data from multiple sources, making it difficult to extract relevant intelligence. Big data analytics helps process and analyze massive datasets, revealing patterns, connections and actionable insights. As of 2024, approximately 402.74 million terabytes of data are created each day, equating to around 147 zettabytes…
As criminal tactics become more sophisticated, the challenge for law enforcement isn’t just to solve cases – it’s to predict and prevent them. AI-powered predictive analytics is key to staying ahead of criminal activity in 2025. Nearly half of all law enforcement agencies surveyed by Cognyte view predictive analytics as a game-changer for accelerating investigations…
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