The growing complexity of data-driven investigations, combined with traditional tools that are no longer sufficient, exposes organizations to serious risks because of undetected threats and anomalies. Graph technology has emerged as a major advance, offering an expansive view of interconnected data and reducing the blind spots often exploited by bad actors.
Graph intelligence relies on graph technology to make it faster and easier for organizations to detect and investigate anomalies and threats buried within large, complex datasets. It represents a paradigm shift in how organizations approach data-driven investigations. By modeling data as networks of relationships, graph intelligence provides a more natural way to analyze real-world complexity.
As data complexity continues exponential growth, graph intelligence delivers the speed and sophistication required for robust modern investigations and anomaly detection. It promises to become an essential element of any organization's security and risk management strategy.
Graph intelligence is an innovative approach involving the use of graph databases, visualization and analytics tools to understand and analyze the relationships and interconnected patterns within large sets of data.
At its core, graph intelligence maps out and decodes the complex networks found in various data types, be it for financial transactions, supply chain networks, organizational structures, or beyond. In these connected masses of data, nodes represent entities such as individuals, organizations, places, etc., while edges signify the relationships or interactions between them.
What sets graph intelligence apart is its ability to reveal insights that are often hidden in traditional, linear data analysis methods. By focusing on the connections and their interdependencies, it provides a holistic, 360-degree view of your data. For detecting anomalies, uncovering hidden patterns, and understanding complex structures in data-driven environments, this is essential.
Organizations today face rapidly evolving threats and anomalies that demand more advanced investigative capabilities. However, traditional analytics methods often fall short, unable to adequately connect insights across massive, siloed datasets. This leaves analysts, security teams, and investigators struggling to keep pace, resulting in overlooked risks and breaches - with serious consequences. Banks, for example, have faced an estimated $56 billion in fines since 2007 because of regulatory violations (1).
Whether combating financial fraud, monitoring supply chains, or ensuring data governance, the challenges are similar. Data is fragmented across tools and systems. Piecing together a holistic view to detect suspicious behaviors using traditional methods is manual, slow and error-prone.
To meet these challenges, teams of analysts and investigators need next-generation tools optimized for illuminating the risks and anomalies hidden in complex, connected data. Graph intelligence provides this new approach - a versatile, unified framework to map relationships across data silos.
By modeling data as networks, graph analytics enhances visibility and context. Investigators can rapidly trace connections to pinpoint everything from cyber threats to supply chain bottlenecks to compliance gaps. Graph intelligence can scale to vast data volumes while accelerating detection and response times for more informed decisions with the full context in mind.
Graph intelligence has proven its merit across domains, from data governance to anti-money laundering to cybersecurity - any industry that deals extensively with connected data. The successes of Linkurious customers speaks to this, from Ria Money Transfer using graph intelligence to track down money laundering, to Lockheed Martin using it to build a digital twin to optimize manufacturing processes.
Linkurious’s graph intelligence platform is a system designed to augment the capabilities and speed of data-driven investigators, from data ingestion to the dissemination of intelligence results. We believe that the future of investigation lies in an advanced combination of human and computer-based intelligence.
It marks a pivotal shift in how data-driven analysis is conducted. Linkurious has refined its platform to cater to the specific needs of modern analysts and investigators. This platform isn't just a tool; it's a system designed to amplify the capabilities of data-driven investigators, from data ingestion to intelligence dissemination.
We are excited to offer this graph intelligence approach. We want to make it faster and easier for organizations to detect and investigate threats hidden in large complex datasets.
No matter their specific domain of anomaly detection and investigation, we are here to support our clients with their needs. Our journey to democratize graph technology continues, as we strive to empower organizations in combating the most pressing threats and challenges of today.
(1) https://www.fenergo.com/aml-fines-report
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