Post by account_disabled on Feb 22, 2024 0:23:46 GMT -5
It might seem at first glance that the detection of fraud and other illicit activities that can compromise, in multiple ways, organizations is limited to very specific and specific sectors of business activity, mainly banking and insurance and reinsurance. However, with the progressive internationalization of the supply chain and the globalization of markets, many of the key operations of practically any company are carried out, today, in an eminently technological context, with communications and transactions that are carried out in a remotely, not in person and through an increasing variety of channels. Transactions that, by their nature, are strongly conditioned and threatened by these risks. New technological solutions for fraud detection The new technological ecosystem is full of facilities, without a doubt; but at the same time it also presents important risks in terms of security , prevention and detection of fraud.
Risks that are very directly associated with the confirmation of the identity and authentication of the parties involved in digital transactions , issues that pose important challenges in terms of the development of new solutions. Just as new technologies are constantly evolving, the risks and threats that any security system faces also progress and become more sophisticated . Regarding risks, we could establish two large groups: Those faced by organizations that do not have adequate Chinese Student Phone Number List security systems. Those who must assume their own security systems and measures , which at no time should be assumed to be infallible and require constant updates to perform optimally. The latter are the ones that present the greatest difficulties in resolution. Traditional security management and fraud detection models have been greatly surpassed by the possibilities of identity theft and falsification in digital environments, by the new needs and possibilities of access (multi-device and multi-channel) to corporate databases. , and because of the difficulties (in time and effort) involved in properly calibrating the new threats due to their number, the diversity of risks they present and the increasing complexity they entail.
Despite everything, the latest solutions proposed by the main developers seem to be up to these challenges, although substantially changing the landscape of BI security . A set of new generation tools that respond to a security model that is simpler for the user, but at the same time much more robust, complex and effective. A new model, based on the analysis of greater volumes of data from a wide variety of sources and evidence-based fraud indicators to establish more effective and efficient security parameters. The advantages of this new evidence-based security and fraud detection model (championed by IBM developers) can be summarized in three: Reduction of false positives-negatives : the inclusion of specific verification and authentication tools significantly reduces the percentage of false positives (and negatives) detected. Reduction of operational impact : allows you to prioritize cases and respond proactively to possible threats according to the level of risk they pose. Improving the customer experience , one of the ultimate objectives of any security system that is fulfilled by reducing the impact of false positives in the detection of fraud, avoiding inconveniences and guaranteeing a more fluid, stable and secure service. to the clients.