A cybersecurity posture is essentially the total procedures, policies, and services that an organization uses to defend itself from cyber attack. Companies evaluate their security risk then develop policies, employee training procedures, and, if they have the resources, malware, virus, and other threat detection services, focusing on their most vulnerable assets.
In short, a cybersecurity posture describes an organization’s cyber threat readiness and identifies areas where this readiness can be improved.
MFA stands for multi-factor authentication. It refers to the use of more than one means of identification to access a secure software system. Usually, MFA security uses a combination of traditional security measures, like keycards and passwords, and biometric measures, like retinal scans.
A subset of MFA security, which uses two, three, or more authentication measures, 2FA security uses two.
Fraud between companies can interrupt the flow of business and destroy their reputations and it is becoming increasingly difficult to identify and stop criminals from committing fraud: PYMNTS.com's 2019 yearly report, "Securing B2B Payments," relates that global markets lost $4.2 trillion in 2019 alone due to fraud. However, machine learning can identify fraud accurately before it has occurred.
B2C fraud includes insurance fraud, payment fraud, identity theft, etc. and reviewing claims is so time-consuming and difficult that many insurers do little more than a cursory review on small claims. Fraudsters know this and will file—and win—small claims for losses that didn't really occur.
Insurance fraud can be committed by either the buyer or the seller of an insurance policy.
The seller may offer policies from non-existent companies, fail to submit premiums, and churn policies to create more commissions. The buyer exaggerate claims, falsify medical history, post-date policies, sell their policy to for cash when they are diagnosed with a terminal disease, or fake their death or kidnapping. We will focus on the buyer insurance fraud in this post.
Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
Black Box Intelligence Consumer Intelligence
Data sets (0)
Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
Home by Vendigi
Data sets (1)
Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's.
Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.