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It is based in Los Angeles. It is owned by Hope Bancorp, Inc., a bank holding company. It offers commercial banking loan and deposit products through 58 branches in California, Washington, Texas, Illinois, New York, New Jersey, Virginia, Georgia, and Alabama. It also operates Small Business Administration loan production offices in Seattle, Denver, Dallas, Atlanta, Portland and Annandale, Virginia; a commercial loan production office in Fremont, California; residential mortgage loan production offices in California; and a representative office in Seoul, Korea.<br />It is on the list of largest banks in the United States.<br />Source: https://en.wikipedia.org/wiki/Bank_of_Hope","companyTypes":["user"],"products":{},"vendoredProductsCount":0,"suppliedProductsCount":0,"supplierImplementations":[],"vendorImplementations":[],"userImplementations":[{"id":1271,"title":"Anomali ThreatStream for Bank of Hope","description":"<span style=\"font-weight: bold;\">CHALLENGE</span>\r\nBank of Hope needed a way to easily investigate potentially risky IPs without having to log in to multiple security product dashboards. The bank depends on its security information and event management (SIEM) tool as the heart of its incident response program, but when the SIEM flagged a potential problem IP address the analysts needed to spend up to a half hour confirming its reputation.<br /><span style=\"font-weight: bold;\"></span>\r\n<span style=\"font-weight: bold;\">SOLUTION</span><br />ThreatStream offered Bank of Hope a way to sync its actionable intelligence with the organization’s SIEM tool and provide analysis with minimal effort.<br /><span style=\"font-weight: bold;\"></span>\r\n<span style=\"font-weight: bold;\">RESULTS</span><br />• Reduced Mean-Time-To-Know<br />• SIEM Integration<br />• Headcount Savings<br /><span style=\"font-weight: bold;\"><br />BANK OF HOPE CHALLENGE</span>\r\nWhen the SIEM pointed to a threat indication, IT security analysts spent an inordinate amount of time looking up potential malicious IPs to confirm their current reputation. Bank of Hope had several systems in its IT environment that provided outside threat intelligence related to malicious IPs, but each of these had its own portal and its own dashboards. Each system provided threat intelligence, but none were intuitively embedded with the SIEM.<br />So analysts were left with a manual process that required them to look up information within each IT tool that had its own built-in threat information. With a lean staff, the bank could ill afford the kind of resource drain that looking up suspicious IPs was putting on its security operations. Staffers could take up to a half hour simply to determine whether the IP address had a known bad reputation, let alone to start acting on a potential incident once bad news was confirmed.<br /><span style=\"font-style: italic;\">“Doing the research was a strenuous process,”</span> said Arindam Bose, senior vice president and security officer for Bank of Hope. <span style=\"font-style: italic;\">“We had to go to multiple resources to understand the indication of relevance of that IP address to our environment.”</span><br />Bank of Hope needed a way to simplify the process so it could make better use of its analysts’ bandwidth to work deeper into the forensics and incident response process.<br /><br /><span style=\"font-weight: bold;\">OVERVIEW</span><br />Operating with $7.3 billion in assets Bank of Hope is the largest KoreanAmerican bank in the nation. As a major community financial institution with 50 branches across the U.S., Bank of Hope understandably must protect itself from a range of attacks against its IT systems. To keep tabs on the numerous security controls and monitoring systems it has in place, the bank depends on its security information and event management (SIEM) system to correlate events and help its analysts stay on top of trends. Unfortunately, until recently the bank’s IT security analysts were taxed by the amount of work needed to analyze and verify indicators of compromise (IOCs) related to outside IP addresses that surfaced from its SIEM correlation engine.<br /><br /><span style=\"font-weight: bold;\">THE THREATSTREAM SOLUTION</span><br />The bank turned to the power of ThreatStream to do exactly that. According to Bose, Bank of Hope chose ThreatStream for several reasons.<br />First and foremost, the ThreatStream Threat Intelligence Platform is able to tell analysts with just a few clicks what an IP address’ threat score is, along with the confidence level based on reputation ranking.<br />Not only is it able to utilize threat feeds already available to Bank of Hope, but it also provides other feeds that add value to Bank of Hope’s analyses. In addition to IP reputation analysis, the tool can also replay executables in its sandbox environment to give Bank of Hope analysts a leg up on early analysis of potential IOCs and threat indicators.<br />But most importantly, ThreatStream integrates into Bank of Hope’s SIEM, so staffers do not need to reroute their analysis process and can do early investigation from a single centralized platform.<br /><span style=\"font-style: italic;\">“The SIEM is a critical component of our environment and the heart of our program. It pulls in logs from a variety of different systems and correlates those indications to determine whether an activity<br />is malicious or not,”</span> Bose says. <span style=\"font-style: italic;\">“Integrating ThreatStream in our SIEM portal means we don’t have to go into five different systems, but can look at the validity of an IP or executable from a single place. The solution has minimized much of the team’s overhead.”</span><br />In addition, the bank needed a tool that could work with the FS-ISAC threat intelligence feed for information specific to the financial industry.<br />ThreatStream worked with the bank to develop that capability natively. It was this last point that truly tipped the scale in favor of ThreatStream for Bank of Hope.<br />Deployment was relatively painless for Bank of Hope, only requiring about an hour a week for the first month. The institution credits ThreatStream’s team with offering lots of guidance to get off the<br />ground running.<br /><br /><span style=\"font-weight: bold;\">THE THREATSTREAM IMPACT</span><br />Now that the tool is in place, Bose reports the value of ThreatStream to Bank of Hope is in the time it saves analysts and the opportunity they have to address more threats than they once could.<br />The time it takes to analyze a threat has gone down from 30 minutes to just a few minutes, time that adds up over the course of investigating many malicious IPs every week. <span style=\"font-style: italic;\">“There has been a substantial decrease in terms of meantime-toknow,”</span> Bose says.<br />These efficiencies have enabled Bank of Hope to save on headcount. Because the tool automatically handles a large analytical workload, Bank of Hope was able to increase capacity without having to hire one or two additional analysts. What’s more, the false positive rates have been very low, meaning analysts spend very little time chasing non-existent problems.<br />Overall, the ThreatStream implementation has been a huge success for the Bank of Hope team, so much so that it is now looking at integrating the tool into its IDS/IPS, giving it the potential to automatically block threats with very high malicious confidence ratings.","alias":"anomali-threatstream-for-bank-of-hope","roi":0,"seo":{"title":"Anomali ThreatStream for Bank of Hope","keywords":"","description":"<span style=\"font-weight: bold;\">CHALLENGE</span>\r\nBank of Hope needed a way to easily investigate potentially risky IPs without having to log in to multiple security product dashboards. 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In recent times, the term may also refer to non-state sponsored groups conducting large-scale targeted intrusions for specific goals.\r\n<span style=\"font-weight: bold;\">What is phishing?</span>\r\nPhishing is the fraudulent attempt to obtain sensitive information such as usernames, passwords and credit card details by disguising oneself as a trustworthy entity in an electronic communication. Typically carried out by email spoofing or instant messaging, it often directs users to enter personal information at a fake website which matches the look and feel of the legitimate site.\r\nPhishing is an example of social engineering techniques being used to deceive users. Users are often lured by communications purporting to be from trusted parties such as social web sites, auction sites, banks, online payment processors or IT administrators.\r\n<span style=\"font-weight: bold;\">What is malware?</span>\r\nMalware (a portmanteau for malicious software) is any software intentionally designed to cause damage to a computer, server, client or computer network (in contrast, software that causes unintentional harm due to some deficiency is typically described as a software bug). A wide variety of malware types exist, including computer viruses, worms, Trojan horses, ransomware, spyware, adware, rogue software and scareware.\r\nPrograms are also considered malware if they secretly act against the interests of the computer user. For example, at one point, Sony music compact discs silently installed a rootkit on purchasers' computers with the intention of preventing illicit copying, but which also reported on users' listening habits, and unintentionally created extra security vulnerabilities.\r\nA range of antivirus software, firewalls and other strategies are used to help protect against the introduction of malware, to help detect it if it is already present and to recover from malware-associated malicious activity and attacks.\r\n<span style=\"font-weight: bold;\">What is a botnet?</span>\r\nA botnet is a number of Internet-connected devices, each of which is running one or more bots. Botnets can be used to perform Distributed Denial-of-Service (DDoS) attacks, steal data, send spam and allows the attacker to access the device and its connection. The owner can control the botnet using command and control (C&C) software. The word "botnet" is a portmanteau of the words "robot" and "network". The term is usually used with a negative or malicious connotation.\r\n<span style=\"font-weight: bold;\">What is a DDoS-attack?</span>\r\nA distributed denial-of-service (DDoS) attack occurs when multiple systems flood the bandwidth or resources of a targeted system, usually one or more web servers. Such an attack is often the result of multiple compromised systems (for example, a botnet) flooding the targeted system with traffic. A botnet is a network of zombie computers programmed to receive commands without the owners' knowledge. When a server is overloaded with connections, new connections can no longer be accepted. The major advantages to an attacker of using a distributed denial-of-service attack are that multiple machines can generate more attack traffic than one machine, multiple attack machines are harder to turn off than one attack machine and that the behavior of each attack machine can be stealthier, making it harder to track and shut down. 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