The majority of today’s internet traffic is made up of bots, both harmful and good ones. Bots can rapidly scale up assaults to cause havoc on digital firms thanks to their improved skills. Therefore, it is essential to find and eliminate rogue bots before they may compromise corporate networks.
Bot management is a tactic that enables companies to track down bot activity, and pinpoint its source. It blocks harmful bots while enabling benign bots to use their websites and apps. A crucial element of this strategy is the use of software solutions that enable the reduction of business risks resulting from bot-driven assaults.
Bot control is helpful in the battle against automated assaults including credential stuffing, account takeover, fraud on newly created accounts, scraping, scalping, and more.
Numerous bot control tools have been created throughout time to assist digital enterprises in filtering out dangerous bots. These solutions leverage a variety of technologies, such as artificial intelligence, machine learning, and website-building tools.
Typical bot threats
The goal of the attackers is financial gain. Of course, they would want to get the most return on their investments. Attackers largely rely on bots to carry out large-scale and sophisticated attacks since they are readily and inexpensively accessible and have advanced capabilities. The following are a few of the typical automated assaults that impact websites, applications, and APIs across industries:
To find valid matches, attackers utilize bots to compare a large number of stolen login and password combinations. They have the option of further modifying the lists or selling the databases of these legitimate credentials to outside parties. They can even conduct account takeover assaults on their own using these legitimate credentials.
Attacks employ legitimate username-password combinations to hack into legitimate user accounts, which they then use to alter the accounts they have gained access to. Utilizing financial assets is only the first stage of exploiting hacked accounts. Which may also be used for money laundering, phishing, loan applications, spam distribution, and a variety of other downstream crimes.
Fraud on new accounts:
To construct synthetic identities, fraudsters blend bogus identity components with customer data that has been obtained. The process of creating new false accounts is sped considerably by automation. Fraudsters utilize these fictitious accounts to take advantage of bonuses. Also and freebies that many companies provide to draw in new clients. They can also be used to create new credit lines and transfer money. Additionally, phishing, spam distribution, and the manipulation of ratings and reviews on gaming and e-commerce platforms all make use of fake accounts.
Password spraying attack:
Attackers utilize one password—typically the default password—across several accounts before trying out another password to verify a username and password combination. Following that, several attacks are carried out using these matching credentials.
Examining credit cards:
Attackers test the authenticity of the stolen credit cards by making minor purchases with them. These little transactions typically go unreported because of their size. When fraudsters discover that the credit card is legitimate, they start using it for bigger transactions.
Attackers employ botnets, and more recently, IoT devices, to flood company networks and spam servers. As a result, consumers can no longer access the hacked websites or applications. Particularly during online sales events, these assaults are performed in an effort to harm businesses by causing loyal consumers to purchase elsewhere.
How bot management operates
Bot monitoring tools keep an eye on the incoming digital traffic to a website, app, or API in order to spot and stop unwanted behavior. These solutions combine a number of tools and technologies to assist organizations in differentiating between dangerous bots and legitimate people. These include behavioral biometrics, machine learning, data analytics, artificial intelligence, device fingerprinting, and a variety of additional methods. Malicious bot activity has increased alongside the amount of digital exchanges. Additionally, bots now possess human-like qualities that enable them to communicate with fraud prevention tools just like a person would.
These bots are sophisticated enough to transfer the attack to human click farms when more subtle human contact is necessary. This makes it increasingly harder for businesses to distinguish between scammers and legitimate users. To recognize and fight bot-driven assaults, bot management systems presently use three methodologies: static, challenge-based, and behavioral.
Digital firms may employ one of these methods alone or a mix of them, depending on the severity of the danger they face. They can also contract with companies who are experts in this field to handle their bots.
Bot management’s importance
As was previously indicated, a significant portion of today’s digital traffic consists of bots.
Digital enterprises and their customers are at danger as a result of attackers’ use of sophisticated bots to perform a variety of intricate attacks at scale.
Businesses incur harm to their brand value in addition to financial losses from having to recover user accounts, stop the assaults, and pay fines for non-compliance.
Building a reputation and gaining the confidence of customers requires years of work and may quickly be lost. In the worst-case scenario, a business’s closure might be caused by a lack of clients and income.
Consumers who are impacted can see their credit scores decline, which might make it more difficult for them to get credit in the future.
They could have to pay back debts they didn’t ask for, and even worse, they might be penalized for illegal behavior carried out through their hacked accounts.
Their mental health may suffer as a result of their futile efforts to have their digital identity restored.
Therefore, bot control is essential for maintaining corporate operations and protecting business and customer interests from the negative effects of a cyberattack. Bot management should be prioritized by digital organizations as a crucial component of their entire fraud protection system.