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How Decision Intelligence Solutions Mitigate Poor Data Quality
Explore solutions to poor data quality challenges in investigations with insights from Tom Saltsberg, Product Manager at Cognyte. Investigators and intelligence analysts are frequently challenged to make sense of poor quality. Poor data quality presents fundamentally unique challenges in part because ‘poor’ is a relative term – and in most cases, analysts cannot recognize whether data is of poor quality at first glance, thereby needing to assess it beforehand, which is time-consuming and inefficient.
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How to Combat ‘Pig Butchering’ Scams with Decision Intelligence
Ever since people started exchanging goods and services, there has been a risk of one party scamming the other. And there has always been a risk of a third party scamming both the seller and the buyer. In recent years, fraud has taken on new forms and become more powerful than ever, and fraudsters take full advantage of every weak spot in every system and use any new technology they can find. ‘Pig butchering’ scams are every bit as dark/disturbing as the name implies, noted by Noam Zitzman of Cognyte.
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Stimulus Fraud Prevention Isn’t a Lost Cause, It’s an Opportunity for New Tools and Techniques
Tracey Montaño, industry consultant for Cognyte, shares how the lessons learned – and the data – from Paycheck Protection Program fraud can be used to build better models for sifting through fraud data. The many investigative challenges that arose after PPP fraud should be embraced as opportunities to evolve methods and data sharing.
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Using Decision Intelligence to Combat Smuggling Networks
Cognyte offers its perspective on using decision intelligence to combat smuggling: Smuggling – the illicit movement of goods into or out of a country – is a major challenge for customs administrations and tax authorities alike. Smuggling plays a key role in the cross-border flow of drugs, fake medicine, weapons, and more, and it’s an insidious threat to fair trade, with both immediate and long-lasting implications for local economies and residents.
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Using Decision Intelligence to Investigate Money Laundering
The modern global financial system is a money launderer’s dream and a financial investigator’s nightmare. Decision intelligence, digitization and technology can improve outcomes for AML investigations by empowering financial investigators in identifying and prosecuting money laundering networks, shares Rosa van Dam, decision intelligence platform product manager, Cognyte.
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Harness Unstructured Data with AI to Improve Investigative Intelligence
In this special guest feature, Jordan Dimitrov, Product Manager, Unstructured Data Analytics, Cognyte, addresses the importance of unstructured data, why AI is an invaluable tool and how to move beyond legacy approaches to data management.
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Moving from risk management to decision intelligence: what it means and where to start
Tom Saltsberg, Product Manager at Cognyte, discusses the delicate balance between facilitating legitimate trade and combatting illicit trade. This raises numerous challenges for Customs administrations, and to overcome them, Customs authorities need to work smarter and more efficiently.
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Data Fusion and Analytics for Chief Investigators: Survey Report, August 2022
Our friends over at Cognyte have a second survey on data fusion and analytics – this time for chief investigators. In their last survey, the 2022 IT leaders in the Data Fusion/Analytics Domain, the company spoke to CIOs and IT executives about their challenges and investment priorities for data fusion.
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Investigating Future Security Threats with AI, ML and Data Fusion
Cognyte discusses the emergence of artificial intelligence (AI) and machine learning (ML) technologies, which have been transformative for security organizations. With their arrival, organizations are no longer limited to reactively investigating and resolving criminal acts that have already been committed. AI and ML – complemented by sophisticated data fusion and analytics capabilities – have introduced a new era of proactive, predictive threat assessment that can help us identify and mitigate threats before they occur.
