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Unravelling Illicit Hawala Networks with Decision Intelligence Technology
Omer Frenkel of Cognyte explains that In the high-tech internet age, criminals frequently leave behind digital footprints that help guide law enforcement agencies (LEAs) and financial regulators to connect the dots during investigations. Ironically, it’s the low-tech crimes perpetrated offline that are typically the most puzzling for authorities. This is exemplified in the recent surge in money laundering and criminal activity facilitated via Hawala money brokers practicing a money transfer system that dates back centuries.
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Cognyte adds GenAI capabilities into its LUMINAR offering
Cognyte announced the release of a significant update to its LUMINAR external threat intelligence solution to incorporate GenAI capabilities, including a new AI-driven dashboard. LUMINAR is already integrated with Cognyte’s investigative analytics software and other leading solutions, and this release brings additional value to current and new customers.
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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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Why big data isn’t enough for law enforcement: Investigating with critical thinking
Cognyte discusses combining decision intelligence methodologies with big data, AI and machine learning to help analysts make sense of data and analytics insights.
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Machine Learning and Data Fusion Enable Improved Decision Intelligence to Screen Asylum-Seekers and Refugees
Data-driven decisions take some of the guesswork and bias out of immigration management processes and help to promote overall fairness. According to Cognyte, machine learning (ML) and data fusion technologies form the bedrock of this approach, with their combined ability to leverage big data and advanced analytics to manage the risk posed by potential asylum-seekers and refugees. This includes closer scrutiny of criminal and terrorist elements, with more efficient threat assessment and risk scoring – leading to improved prioritization.
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Anti-Money Laundering Investigations Require Greater Multi-Sector Cooperation & Improved Decision Intelligence Capabilities
Across the globe, money laundering remains a key challenge to address organized crime. This is exacerbated by cryptocurrency, blockchain and the anonymity they afford bad actors who are trying to obscure the source of illicit funds. Rosa van Dam, decision intelligence platform product manager at Cognyte, sheds light on the importance of better multi-sector cooperation and decision intelligence capabilities to improve anti-money laundering investigations.
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Iguazio releases high-speed serverless platform to open source
Iguazio Systems Ltd. has raised $48 million and a lot of interest for its platform-independent approach to data analytics. Now the company is releasing some of the underlying serverless computing technology under an open-source license.
Called nuclio, the platform is claimed to operate at faster-than-bare-metal speed, processing up to 400,000 events per second compared with 2,000 on Amazon Web Services Inc.’s Lambda platform, according to Yaron Haviv, founder and chief technology officer of Iguazio.
