{"id":250185,"date":"2025-09-23T23:51:10","date_gmt":"2025-09-23T23:51:10","guid":{"rendered":"https:\/\/www.europesays.com\/us\/250185\/"},"modified":"2025-09-23T23:51:10","modified_gmt":"2025-09-23T23:51:10","slug":"fico-debuts-tools-to-prevent-gen-ai-hallucinations","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/us\/250185\/","title":{"rendered":"FICO Debuts Tools to Prevent Gen AI Hallucinations"},"content":{"rendered":"

FICO<\/a> introduced a tool designed to help companies combat artificial intelligence hallucinations.<\/p>\n

The FICO Foundation Model for Financial Services (FICO FFM) is designed to help financial services firms derive \u201csustained value\u201d from generative AI models, the company said in a news release<\/a> Tuesday (Sept. 23).<\/p>\n

\u201cThe focused foundation model represents a practitioner\u2019s approach to gen AI in financial services, moving beyond trying to refine universal knowledge models,\u201d FICO Chief Analytics Officer Dr. Scott Zoldi<\/a> said in the release. \u201cFICO FFM enables enterprises to use [small language models<\/a> (SLMs)], built for their specific business problems, significantly helping to mitigate hallucinations, provide transparency, auditability and adaptability. The model complies with regulations through the transparency of data and a decreased risk of hallucinations through trust scores and business owner-defined knowledge anchors.\u201d<\/p>\n

Domain-specific models can lead to a 38% uptick in compliance adherence use cases and a more than 35% increase in world-class transaction analytic models in areas like fraud detection, the release said.<\/p>\n

FICO FFM consists of FICO Focused Language Model for Financial Services (FICO FLM) and FICO Focused Sequence Model for Financial Services (FICO FSM), according to the release.<\/p>\n

FICO FSM is designed to uncover \u201ccritical relationships in transaction histories\u201d that aren\u2019t typically found by traditional analytics systems, the release said. This helps bolster real-time detection accuracy across financial services transaction analytics, while capturing \u201ccomplex inter-relationship sequences\u201d in scenarios like payment fraud and real-time risk assessment.<\/p>\n

Advertisement: Scroll to Continue<\/p>\n

Meanwhile, \u201cFLMs are essentially similar to [SLMs], and these are transforming how gen AI is used in financial risk management and compliance by providing highly accurate, domain-specific insights and reducing misinformation,\u201d Megha Kumar<\/a>, research vice president of analytics and AI analyst at IDC<\/a>, said in the release. \u201cBuilt on curated data and responsible AI principles, these models are becoming essential tools for institutions that require precision, transparency and scalable trust.\u201d<\/p>\n

The PYMNTS Intelligence report \u201cFighting Fraud and Finding Trust Amid Banking\u2019s Data Deluge<\/a>\u201d found that banks, credit unions and FinTechs are rethinking data strategies around financial crime prevention as AI takes on a greater role.<\/p>\n

Finance leaders said in the report that \u201cdata<\/a> remains indispensable, but its reliability depends on balance, blending historical records with real-time signals, human oversight with machine intelligence, and institutional rivalry with shared intelligence,\u201d PYMNTS reported Wednesday (Sept. 17).<\/p>\n

For all PYMNTS AI coverage, subscribe to the daily AI Newsletter<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"FICO introduced a tool designed to help companies combat artificial intelligence hallucinations. The FICO Foundation Model for Financial…\n","protected":false},"author":3,"featured_media":250186,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[691,738,259,125503,693,820,50,751,4995,158,67,132,68,756],"class_list":{"0":"post-250185","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-banks","11":"tag-fico","12":"tag-fintech","13":"tag-fraud","14":"tag-news","15":"tag-pymnts-news","16":"tag-security","17":"tag-technology","18":"tag-united-states","19":"tag-unitedstates","20":"tag-us","21":"tag-whats-hot"},"share_on_mastodon":{"url":"","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/250185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/comments?post=250185"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/250185\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media\/250186"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media?parent=250185"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/categories?post=250185"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/tags?post=250185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}