Results for: mathematic

Differential privacy is a mathematically proven standard of data privacy that ensures all data can be used for analytics and machine learning without the risk of compromising information about individual records. LeapYear’s differentially private system protects some of the world’s most sensitive datasets, including social media data, medical information, and financial transactions.

Fincom’s advanced “phonetic fingerprint” technology, will enable you to quickly trace any entity by name, pronunciation or “name-sound”, based on a single mathematical representation. The resulted “accurate name matching” will improve and lower significantly your operational costs and prevent unnecessary fines, whilst increasing reliability and maintain your reputation. Using automated real-time technology, supported by AI-ML layers, using over 48 mathematical algorithms resulting in accurate matching of names across 38 different languages, transliterations and spelling variations. ...

Alongside Payment Card Information (PCI), Personally Identifiable Information (PII) also known as personal information and Protected Health Information (PHI) have become a favorite target of hackers. TokenEx can tokenize any type of data, so PII, PHI, PCI, ACH, etc. can be safely vaulted away from business systems and replaced with tokens that are mathematically unrelated to the original data and, thus, useless to data thieves. Tokenization offers virtually unlimited flexibility in how you store, access, and secure your sensitive data sets.

...Harnessing satellite imagery, geolocation data, textual information and multiple sources of unconventional data with machine learning, natural language processing and advanced mathematics, Kayrros monitors and measures energy, natural resource and industrial activity worldwide. Kayrros integrates satellite imagery, unconventional data and market information on the leading global asset observation platform to deliver customer-specific solutions for decision-making in the energy, natural resource and industrial markets, while measuring environmental impact and providing insight on climate risk. ...

TradingHub’s trade surveillance software (MAST) is a sophisticated, risk-based market abuse detection platform built for global financial institutions to monitor trading activity, identify suspicious behaviour, and protect firms from market abuse more effectively than traditional rules-based systems. It uses advanced mathematical and market-impact modelling to understand trader intent, capture abuse across single and cross-product scenarios, reduce false positives, and prioritize high-risk alerts based on severity rather than rigid thresholds. It supports comprehensive asset-class coverage (including OTC and fixed income markets), auto-calibrates to changing market conditions to maintain relevant detection parameters, and enables customizable controls and reporting through its Calculation-as-a-Service (CaaS) framework so firms can tailor surveillance to their specific regulatory requirements and internal risk profiles.