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Enterprise fraud management, AI and data visualization

Cambridge Intelligence

While it has always been a data-intensive process, enterprise fraud management today is more complex and more important than ever. This blog post explores the evolving role of enterprise fraud management, examines the impact of AI and showcases the importance of visual data analysis. What is enterprise fraud management?

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AI and data visualization: Powering the intelligence cycle

Cambridge Intelligence

Artificial intelligence is changing the way organizations think about data analysis. AI and data visualization can do a lot of the heavy lifting for analysts and investigators working with connected data – helping them detect, understand and even predict risks and threats.

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Graph visualization use cases

Cambridge Intelligence

The challenge to understand hidden relationships and uncover actionable insights from data is universal, across countless data visualization use cases. In this blog post, we focus on seven of the most popular: Why visualize data as a graph? Data visualization makes it easy for us to identify trends and outliers.

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Why cyber threats are a business problem, not just a tech problem

Cambridge Intelligence

Data analysis is the answer 91% of respondents agree that better capture and analysis of detection data is one of the most effective tools to prevent successful ransomware attacks. We know from our most successful customers in the cybersecurity industry that data visualization plays a powerful role at every stage.

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Link analysis: 6 trends shaping the future

Cambridge Intelligence

So does that negate the need for link analysis? The interface between machines and human investigators has never been more important, and link analysis is an essential tool for communicating AI-driven insights in a way that supports human decision-making. Not at all.