How bots can attack certain online channels
There is more bot activity now than ever due to there being multiple online channels that are vulnerable to malicious attacks and hacking.
The three main channels that bots attack are:
APIs have become a favored attack channel, now accounting for 90% of the web app attack surface. 80% or web traffic is made up of APIs, making them a massive target for attackers. Traditional bot detection solutions are also ill equipped to defend APIs as they are slow to update defenses and rely on outdated detection methods like fingerprinting, allowing bots to easily evade detection.
Mobile apps, while newer than APIs, are increasingly targeted by bots. Malicious bots can operate on mobile just like on desktops, although some human-like behaviors are harder to mimic. Mobile security is often weaker due to user negligence, making apps more vulnerable.
Attackers commonly deploy bot traffic on websites. Bot traffic on websites varies from login attempts to scraping. Bad actors might try to access someone’s e-commerce account to purchase goods. Or, it might work to scrape the website’s data to mimic it and impersonate the brand elsewhere.
Regardless of the channel attackers main goal is to leverage automation to conduct their attacks at scale in order to earn a profit.
Can malicious actors use fake data to trick bot detection systems?
Faked data is becoming an increasingly popular tactic for bot operators to bypass traditional bot detection solutions. Attackers can even buy harvested digital fingerprints to use during their attacks. Using real human behavior to trick solutions into thinking they are interacting with a real user.
Traditional bot detection is also suffering from the growing trend of internet privacy. As real users mask their true identity, legacy solutions are unable to tell the difference between humans and bots.
A modern approach to bot detection is needed as bots look more like humans and humans look more like bots.
Why you should use modern bot detection?
Without modern bot detection, web applications are at high risk of being attacked by bad actors using malicious automation.
Bot detection tools exist for a good reason, to protect businesses and their customers from the attacks carried out by bad bots.
Controls malicious activities Real-Time Hands Free Detection
Modern bot detection provides a set it and forget it solution, blocking malicious requests from the first page load. By eliminating the need for manual intervention or ongoing maintenance you can ensure you are protected from bad bots 24/7, while also preventing human error from allowing an attack through.
Improve operational costs
An effective bot detection solution can help businesses save both time and money. By removing the need for manual maintenance of traditional solutions you can free up resources and shift budget and employees to other parts of your organization. You can also save on infrastructure costs. Blocking bots that are only looking to attack you will greatly decrease your overall traffic and in turn the costs associated with that traffic.
Boosts business performance
The fact of the matter is businesses need accurate and trustworthy data to make decisions. Bad bots significantly skew data, degrading insights that can be taken from online traffic.
By stopping bots you can improve your data integrity allowing you to track site performance, success of ad campaigns, conversion rates, page engagement, and customers’ journey. Better data can also help allocate resources properly and make important strategic decisions for your business.
Protect your customers
Ultimately your customers are in the crosshairs in the fight between business and bots. While bad actors are targeting companies they are really attacking customers. Trying to break into their accounts, buying goods that they want before they even have a chance, scamming them into thinking they are interacting with a legitimate brand, or testing their stolen credit cards.
It’s important to ensure your customers are not only safe, but have a positive experience with your brand, highlighting the need for modern bot detection. Not only should your anti-bot solution protect users, it should also be seamless to them. Annoying CAPTCHAs only frustrate your real customers and other ineffective solutions let bots in causing your site to slow down due to increased traffic. While slow site speeds and friction causing CAPTCHAs may not hurt customers it can leave them with a bad impression.
How modern bot detection can help different industries
Bot detection is critical for various industries to maintain the integrity, security, and efficiency of their operations. In eCommerce, it prevents fraudulent activities like scalping and fake reviews, which safeguards a fair marketplace for consumers and sellers. For the advertising industry, bot detection ensures that companies are not paying for clicks or views generated by bots, which improves ROI and campaign effectiveness. In the financial sector, bot detection is crucial for preventing fraudulent transactions and protecting user accounts. It also plays a significant role in identifying bots that spread disinformation on social media platforms which can cause potential harm. Bot detection remains a foundational layer of security that has wide-ranging implications across many different industries and sectors.
What is modern bot detection?
Bot detection software identifies and blocks harmful bot traffic, enhancing online business security. Using bot management solutions, you can identify advanced bots and stop them from doing damage. Through using a modern bot management solution, you can detect the presence of automation. Allowing you to prevent bad actors from launching their attacks at scale.
Traditional bot management uses strategies like whitelisting, honeypots, behavioral analysis and CAPTCHAs to identify and block harmful bots, no longer work. Bots have become increasingly sophisticated and can easily evade outdated detection methods. While finding a solution that can remain effective in the face of evolving automated threats is difficult, it is crucial to protect both your business and customers.
How does modern bot detection work?
Bot detection analyzes web traffic to distinguish between human and bot traffic. Not all bot detection is the same, while others let all traffic in before determining what traffic is human vs bot, Kasada offers a real-time, proactive solution that assumes every request is potentially malicious until proven otherwise.
What sets Kasada apart when compared with a lot of the outdated solutions used today is that we make bots do the work, rather than humans. We don’t use inconvenient and ineffective CAPTCHA, which can cause legitimate users to get frustrated. Instead, we use invisible and dynamic sensors paired with highly obfuscated defenses to make it expensive and arduous for bots to continue their attacks.
Let’s take a look at how Kasada’s bot detection solution works in further detail:
Kasada’s dynamic detections leverage both client-side and server-side detection to identify and block bad bots before they can enter your online channels.
- Invisible signal collection: Hundreds of sophisticated sensors collect hidden traces of automation within the client. Detects bots from the first request, without interrupting your real users or letting malicious requests hit your backend.
- Proof of Execution: Dynamic code paths executed within a highly obfuscated virtual machine force attackers to run their code in real browsers and mobile devices. This secures the signal data extracted from the client, making it hard to fake.
- Client Validation: Data received from the client is checked for signs of automation and assessed for tampering. Enables trustworthy decision-making using high integrity data from the client, while detecting attempts to bypass detection.
- Fast Anomaly Detection: Analytical models based on trillions of bot interactions identify automated session behavior in less than 2ms. Reduces the window of attack, forcing adversaries to re-validate their session.
Kasada’s analysis of the trillions of bots our system interacts with across our customers and the actionable threat intelligence discovered by our team are rapidly fed back into our defenses. Allowing us to keep pace with bot innovations.
- Data Analytics: Live data collected by the product is fed into an analysis system, discovering and enabling investigation of real-time attempts to bypass detection.
- Threat Intelligence: Information is extracted from the botting community and the attack tools they build. Future attack methods are anticipated and used to bolster our defenses. New invisible sensors are added client-side in minutes across our entire customer base.
Ready to Get Started with Bot Detection?
We hope our comprehensive guide has helped you understand who is behind bad bots. As you can see, there are threats from all angles when it comes to bots, so it is vital to use modern bot detection tools and bot management solutions to ensure you are protected. Good bot detection and bot management can spot bots early and deter them from coming back, without the need for manual maintenance.
Why not run our instant bot detection free assessment now to see if your website can detect bots? Or, if you have any queries, please do not hesitate to get in touch for more information. Let’s get started with bot detection!