.png.6dd3056f38e93712a18d153891e8e0fc.png.1dbd1e5f05de09e66333e631e3342b83.png.933f4dc78ef5a5d2971934bd41ead8a1.png)
Search the Community
Showing results for tags 'fraud'.
Found 6 results
-
'CP3O' allegedly exploited cloud computing providers by creating two companies where multiple accounts were created under respective names, and exploited benefits without paying the bills. View the full article
-
AI revolutionizes access management by enabling intelligent provisioning, dynamic access control, and fraud prevention. Using machine learning and predictive analytics, it ensures consistent access policies and detects anomalous behavior in real time. The post The AI Revolution in Access Management: Intelligent Provisioning and Fraud Prevention appeared first on Security Boulevard. View the full article -
Credit card fraud is a growing global issue, with losses projected to exceed $36 billion in 2023. In the US, 44 percent of users experienced at least twoView the full article -
Today, we are excited to announce that Amazon Fraud Detector (AFD) now supports Account Takeover Insights (ATI) model, a low-latency fraud detection machine learning (ML) model specifically designed to detect accounts that have been compromised through stolen credentials, phishing, social engineering, or other forms of account takeover. The ATI model is designed to detect up to 4 times more ATI fraud than traditional rules-based account takeover solutions while minimizing the level of friction for legitimate users. View the full article -
Starting today, you can access additional call attributes in your contact flow to build integrations that can authenticate incoming phone calls more accurately, reduce handle times, and enable greater personalization. Additional call attributes from telephony carriers, such as the geographic location of the voice equipment where the call originated, type of phone devices such as a landline or mobile, the number of network segments the call traversed, and other call origination information can be used to improve fraud detection and determine call treatment. For example, you can route trusted incoming calls to your typical agents while routing phone calls with potential fraud signals through a different contact flow to a specialized agent. You can also send phone calls originating outside the country to call center agents that have multilingual skills. View the full article
-
Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities, such as the creation of fake accounts or online payment fraud. You can now delete Amazon Fraud Detector models, event types, entity types, outcomes, labels, and variables. You can also remove an imported AWS SageMaker model from Amazon Fraud Detector (while keeping the model’s endpoint available within SageMaker). In addition, the Amazon Fraud Detector console now lists associated resources so you can more easily discover where a particular resource is utilized across the service. For example, you can view which Models and Detectors are using a particular Event Type. View the full article
-
Forum Statistics
67.4k
Total Topics65.3k
Total Posts