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HGS Earns ‘Behavioral AI Solution of the Year’ for Advanced Financial Crime Detection

TLDR: HGS has been recognized with the ‘Behavioral AI Solution of the Year’ award at the 8th annual AI Breakthrough Awards program. The accolade highlights HGS’s innovative financial crimes detection tool, which leverages advanced AI models, including a Psychometric Risk State Prediction Model and a Keyword State Prediction Model, to proactively identify and mitigate financial anomalies and evolving fraud patterns.

LOS ANGELES, California – HGS, a global leader in technology solutions, cybersecurity, consulting, digital customer experiences (CX), and applied-AI business process management (BPM), has been honored with the prestigious ‘Behavioral AI Solution of the Year’ award in the 8th annual AI Breakthrough Awards program. This recognition underscores HGS’s significant advancements in leveraging artificial intelligence to combat financial crime.

The award-winning solution is a breakthrough financial crimes detection tool that harnesses sophisticated AI models to provide proactive insights into potential illicit activities. The program, which attracted over 5,000 nominations from more than 20 countries worldwide, celebrates the top companies and technologies driving innovation in the global Artificial Intelligence market.

At the core of HGS’s innovative offering are two distinct yet complementary AI models:

1. Psychometric Risk State Prediction Model: This unique tool employs behavioral AI for psychometric profiling. It assigns a Markov state—categorized as Low, Moderate, or High Risk—based on a user’s risk score. By meticulously tracking state transitions over several months, the model accurately predicts whether a user will remain in their current risk category or transition to a different one in the subsequent month. These predictions are derived from historical transitions and custom metrics, enabling early risk mitigation strategies.

2. Keyword State Prediction Model: This model analyzes keywords extracted from Large Language Model (LLM)-generated summaries, mapping them to distinct semantic states. It monitors for persistence of keywords, indicating a stable state, or the emergence of new keywords, signaling a state transition. Utilizing Markov transition probabilities, the model forecasts the evolution of key themes related to financial anomalies, offering critical insights into shifting fraud patterns and behavioral trends.

Venkatesh Korla, HGS Global CEO, expressed pride in the achievement, stating, “We’re proud to accept ‘Behavioral AI Solution of the Year’ from AI Breakthrough. Our AI Models help organizations supercharge their financial crime management processes by implementing solutions that are not reactive but completely proactive with their analysis and next best steps.” Korla further emphasized the growing importance of AI in the financial sector, adding, “The integration of AI in fraud prevention is not just a trend, but a necessity.”

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This accolade from AI Breakthrough highlights HGS’s commitment to developing cutting-edge AI solutions that empower organizations to enhance their financial crime management, moving beyond reactive measures to embrace a truly proactive and predictive approach.

Dev Sundaram
Dev Sundaramhttps://blogs.edgentiq.com
Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]

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