As we continue this 2nd part of the conversation, we immediately kick things off with Gremlins and quickly move into real-world scenarios where bots wreak havoc.
As we continue this 2nd part of the conversation, we immediately kick things off with Gremlins and quickly move into real-world scenarios where bad bots wreak havoc by enabling high-speed abuse, misuse, and attacks on websites, mobile apps, and APIs.
Businesses cannot overlook the impact of malicious bot activity as it is contributing to more account compromise, higher infrastructure and support costs, customer churn, skewed marketing analytics, and degraded online services.
The implications of account takeover (ATO) are also extensive, where successful attacks can lock customers out of their account, while fraudsters gain access to sensitive information that can be stolen and abused. For businesses, ATO contributes to revenue loss, risk of non-compliance with data privacy regulations, and tarnished reputations.
How can organizations — actually, the people in them that keep the business running — distinguish between real, authentic traffic versus something that's being driven by a bot? That's exactly what we talk about.
We hope you enjoy this Part 2 of 2 conversations as we explore and uncover the consequences of bad bots for our business and society.
About the 2022 Imperva Bad Bot Report
Leveraging data from its global network, Imperva Threat Research investigates the rising volume of automated attacks occurring daily, evading detection while wreaking havoc and committing online fraud. The 9th annual Imperva Bad Bot Report is based on data collected from the Imperva global network throughout 2021. The data is composed of hundreds of billions of blocked bad bot requests, anonymized over thousands of domains. The goal of this report is to provide meaningful information and guidance about the nature and impact of these automated threats.
Bot attacks are often the first indicator of fraudulent activity online, whether it’s validating stolen user credentials and credit card information to later be sold on the dark web, or scraping proprietary data to gain a competitive advantage. Often bots are used to surveil applications and APIs in an attempt to discover vulnerabilities or weak security. Online fraud from automated bot attacks is not only a threat to the business, but it is first and foremost a risk to customers. Bad bot attacks might cause customers to be unable to access their accounts or have sensitive information stolen from them due to successful account takeover fraud.
Bad bots mask themselves and attempt to interact with applications in the same way a legitimate user would, making them harder to detect and block. They enable high-speed abuse, misuse, and attacks on your websites, mobile apps, and APIs. They allow bot operators, attackers, unsavory competitors, and fraudsters to perform a wide array of malicious activities.
Such activities include web scraping, competitive data mining, personal and financial data harvesting, brute-force login, digital ad fraud, denial of service, denial of inventory, spam, transaction fraud, and more.
Note: This story contains promotional content. Learn more.
Guest
Ryan Windham
VP of Application Security at Imperva [@Imperva]
On Linkedin | https://www.linkedin.com/in/rwindham/
Resources
Learn more about Imperva and their offering: https://itspm.ag/imperva277117988
Imperva Bad Bot Report 2022: https://itspm.ag/impervwurd
Want the Bad Bot 101 Story? Check out the Imperva 2021 Bad Bot Report Podcast Series here: https://www.itspmagazine.com/their-stories/the-good-the-bad-and-the-ugly-the-bad-bot-report-2021-an-imperva-story
Be sure to listen to Part 2 of this conversation here: https://itspmagazine.com/their-stories/how-bots-fake-human-behavior-to-conduct-online-fraud-the-bad-bot-report-2022-part-1-an-imperva-story-with-ryan-windham
To see and hear more Redefining CyberSecurity content on ITSPmagazine, visit:
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