AI bots are a major challenge for e-commerce platforms. Click here to find out about the five most useful AI bot management solutions.
AI and LLM traffic is becoming a regular challenge for e-commerce platforms. With most websites only relying on basic security measures, it’s easy enough for bots to bypass protections, scrape data, and automate purchases at scale, leading to an uneven playing field where bots outperform genuine customers.
But what can you do about it, really? If bots have grown more sophisticated, with AI and ML technology powering automated scripts and networks, how can you protect your platform and ensure they don’t create such a negative impact?
Well, this is where AI bot management solutions come into play. As we just mentioned, because so many e-commerce platforms – especially platforms run by small businesses that don’t yet have the resources to implement advanced security systems – have basic protections in place, it’s easy game for bots to exploit vulnerabilities.
But there are numerous management solutions that can prevent this, working to detect and mitigate malicious traffic without affecting the overall experience for users.
To help you out, then, we’ve listed five of the most effective solutions below, as well as a few words on what makes them so effective for the world of e-commerce.
Full Visibility Into Bot Traffic
The first solution involves giving yourself full visibility. This approach – and all the other solutions on this list, for that matter – is offered by a number of bot management platforms, but there’s one in particular that stands out as the most comprehensive.
Used by some of the biggest e-commerce sites – including Etsy and Vinted – DataDome bot protection gives you full visibility for AI and LLM traffic, eliminating blind spots with granular visibility for every agentic AI provider across all protected endpoints.
Another plus – and a particularly good feature for e-commerce platforms – is its ability to convert AI traffic into a whole new revenue stream.
Not every bot is malicious, of course, and DataDome gives retailers the power to monetize that fact by granting controlled access to trusted crawlers, allowing AI companies to access content under specific conditions, while ensuring no malicious actors can slip through the net.
Behavioral Analysis
Another important bot management solution is behavioural analysis, which involves examining how each user engages with a website or app.
Rather than relying on static rules, this approach looks at how users actually interact with your site – things like mouse movements, typing patterns, navigation speed, and session behavior – and works to identify anomalies, giving you full control over who can access your content or complete transactions.
Many AI bots, in particular, try to mimic humans, but they’re only as good as their programming and training – because of this, their interactions are often too fast, too consistent, or simply unnatural.
By comparing their behavior against known human patterns, then, it’s possible to fully distinguish between who is a legitimate user, and what is likely to be an automated script.
Device Fingerprinting
One of the key solutions that has gained significant traction over the last few years is device fingerprinting. This works by collecting multiple data points about a visitor’s device to create a unique identifier, and then tracking this identifier across sessions to detect suspicious activity.
Of course, even if bots rotate IP addresses, their underlying device characteristics often remain consistent, and this makes them far easier to detect if you’re looking at the right signals.
Think of it like one of your customer profiles, only it’s a digital fingerprint for every visitor – by profiling the device rather than just the IP, it’s possible to spot patterns typical of automated traffic and then take action to block or challenge suspicious sessions.
Challenge-Based Verification
You might be thinking that surely visibility, analysis, and fingerprinting are enough, but in the world of advanced e -commerce threats, it’s important to implement as many layers of defence as possible. Challenge-based systems are another layer, designed to test whether a visitor really behaves like a human.
This can include CAPTCHA-style challenges – although, due to their potential to cause friction for users, it’s best to utilise invisible solutions like re-CAPTCHA v3 – JavaScript checks, or more advanced proof-of-work tasks that require computational effort from the client.
While traditional security checks are becoming less reliable, modern challenge mechanisms are often invisible or adaptive, only triggering when behaviour appears suspicious, so they should be a non-issue for your actual visitors.
They’re also fast, which is important considering how quickly bots can attempt thousands of actions. Only recently an autonomous agent breached McKinsey’s security in under two hours, and that shows how easy it is for them to exploit weaknesses if these protocols aren’t there to slow them down.
It’s also important when it comes to conversion and customer retention, as the last thing you want is frustrated humans abandoning carts, and perhaps even picking a competitor due to the negative experience they have on your site.
Rate Limiting
Lastly, it’s important to note that bots typically operate at scale, sending large volumes of requests in a short period of time.
This is typical of attackers trying to carry out activities like credential stuffing or inventory hoarding – by overwhelming the system, they’re basically working to mask their malicious activity, or potentially exhaust resources so legitimate users can’t complete purchases.
Rate limiting focuses on controlling how frequently a user or AI bot can interact with your platform, giving you a chance to slow down suspicious activity and set thresholds for request frequency.
It might seem restrictive, but essentially, it means that human visitors can continue using your site normally, while automated attacks are effectively throttled, creating a more stable environment that protects both your platform and your customers alike.