PS FRAUD is an integrated system supporting institutions in the effective prevention of fraud and abuse.
- Industries
- Banking
- Healthcare
- Insurance
- Government, Federal
- Government, State/Provincial/ Local
- Healthcare providers
- Topics
- AI and ML
- Analytics
- Consulting
- Industry-related topics
- Services
- Deployment types
- On-premises
- Languages supported
- English
- Polish
- Regions and countries supported
- Africa - Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Comoros, Chad, Côte d’Ivoire, Democratic Republic of the Congo, Djibouti, Egypt, Congo, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Rwanda, Réunion, Saint Helena, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Togo, Tunisia, Uganda, United Republic of Tanzania, Western Sahara, Zambia, Zimbabwe, Algeria, Angola
- Americas - Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, British Virgin Islands, Canada, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Greenland, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barth√©lemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French Part), Saint Pierre and Miquelon, Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, United States Virgin Islands, United States of America, Uruguay, Venezuela (Bolivarian Republic of), Anguilla
- Asia - Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, China, Hong Kong Special Administrative Region, China, Macao Special Administrative Region, Cyprus, Democratic People's Republic of Korea, Georgia, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Lebanon, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Philippines, Qatar, Republic of Korea, Saudi Arabia, Singapore, Sri Lanka, State of Palestine, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Turkmenistan, Türkiye, United Arab Emirates, Uzbekistan, Viet Nam, Yemen, Afghanistan
- Europe - Andorra, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Republic of Moldova, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen Islands, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland, Åland Islands, Albania
- Oceania - Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, American Samoa
A combination of expert knowledge, AI and data mining algorithms allows the user to increment considerably the number of detected fraud cases.
Automatic data download and risk identification reduces the number of manual processes: reduces admin to a minimum and accelerates case handling.
Based on the history of identified fraud cases, the system 'learns' to identify any false positives and fine-tune the search rules.
The built-in case management module optimizes the number of manual risk assessments meaning fewer people engaged in the verification process.
Information about the companies and solutions listed in this directory is provided by each company and is not validated by IBM unless otherwise noted.