Abstract: Described are various embodiments of system and method for image error detection on a website. In one embodiment, the method comprises monitoring, by a script running on a browser of a first user device, a user session on a website for a HTML image element error, and validating a presence of the image error stemming from the HTML image element error. In some embodiments, the error is validated by sending through the browser a first HEAD request to a URL associated with the HTML image element error; and upon no image content type being returned, sending, by the script, a second HEAD request to the URL through a reverse proxy. An image of a video replay at the time the error is identified is modified by adding one or more static highlight elements identifying a location of the error.

Abstract: A method for connecting a plurality of NVMe storage arrays using switchless NVMe cross connect fiber channel architecture for faster direct connectivity and reduced latencies.

Abstract: A method for threat detection and automatic mitigated response to IP & DDOS born Cyber Security events and Threats. The Disclosed system can provide autonomous system numbers (ASNs) to prevent several network-born cyber threats. These ASN can be distributed to devices on a network along with IP addresses. Disclosed are an ASN record that can be incorporated into Global DNS Servers and systems and can store the IP Address and Private and Public ASN numbers. Also, the disclosed system and method can also provide anomaly detection techniques based on the ASN and Geolocation Proximity.

Abstract: A method for connecting a plurality of NVMe storage arrays using switchless NVMe cross connect fiber channel architecture for faster direct connectivity and reduced latencies.

Abstract: A method for identifying a source of network attack by proving an autonomous system number record (ASN record) that includes an IP address, a public autonomous system number (public ASN), and a private autonomous system number (private ASN). The public ASN and the private ASNs can be unique randomly generated combination of numbers. The IP address and the public ASN can be incorporated in the network packets for tracking a route of the network packets in a network.

Abstract: A money laundering prevention program administered by a financial institution. A plurality of risk factors associated with a potential for conducting illicit activities in connection with an account held at the financial institution are identified. The risk factors include jurisdiction-based risk factors, entity type-based risk factors, and/or business type-based risk factors. The risk factors are ranked and, based on the rank, each of the risk factors is assigned to a tier. Each of the tiers represents a level of risk that illicit activities will be conducted in connection with the account.

Abstract: A money laundering prevention program administered by a financial institution. A plurality of risk factors associated with a potential for conducting illicit activities in connection with an account held at the financial institution are identified. The risk factors include jurisdiction-based risk factors, entity type-based risk factors, and/or business type-based risk factors. The risk factors are ranked and, based on the rank, each of the risk factors is assigned to a tier. Each of the tiers represents a level of risk that illicit activities will be conducted in connection with the account.