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White Paper

Use Case: On-Premise Unknown Threat Analysis for Financial Services PDF

Jun 23, 2017
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The financial services industry remains one of the largest targets for cyberattacks, and is among the top industries for security incidents, and data breaches. Today’s cyberthreats will commonly compromise the network through an unsuspecting employee’s actions, such as the clicking of a malicious link, a drive-by download, or any one of many other vectors. Once on the network, these threats will move laterally or “pivot” across the environment in search of valuable or sensitive information. Such advanced attacks have been able to evade traditional security measures, target specific users and vulnerable applications, steal sensitive information for identity theft, or commit outright fraud.

One key technique to stopping such advanced persistent threats, or APTs, is to identify and prevent the spread of unknown threats early in the attack lifecycle. By conducting automated analysis of unknown exploits, malware, and malicious URLs, financial institutions are better positioned to prevent the spread of infections that may lead to illicit activities in the latter stages of an attack.  The use of a cloud-based sandbox is a popular approach for analysis of such unknown threats.

Due to concerns over data privacy and/or residency, many financial institutions have been unable to benefit from cloud-based automated threat analysis capabilities, leaving a gap in their cybersecurity program.  However, such organizations may now choose on-premise threat analysis solutions to address any data privacy concerns.

Download this whitepaper to read about how Financial Services organizations can use an on-premise threat analysis solution to mitigate data privacy concerns, compliance risks and maximize prevention against cyberattacks for unknown threats.

For more information on cybersecurity for the financial sector, visit our Financial Services industry page at  https://www.paloaltonetworks.com/security-for/industry/financial-services.html

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