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Stytch unveiled Strong CAPTCHA to protect users from bots  

Stytch unveiled Strong CAPTCHA, the first solution in a portfolio of security technologies designed to reduce online fraud and risk. The program addresses the significant problem of CAPTCHA fraud, which harms consumers and harms the brands of online merchants, financial services providers, and other businesses. 

Reed McGinley-Stempel, Co-Founder and CEO of Stytch “Today, humans only make up 38.5 percent of internet traffic. The other 61.5 percent is non-human in the form of bots, hacking tools, and so on. This incessant bot activity defrauds both users and businesses, but CAPTCHA systems are not resolving the problem due to CAPTCHA fraud. Strong CAPTCHA eliminates the public key loophole in the CAPTCHA architecture to thwart widespread CAPTCHA fraud.” 

Every CAPTCHA system exposes its public key, making it simple for bots to scrape and send the public key to a “CAPTCHA-solving-as-a-service” organization, sometimes known as a CAPTCHA farm, where individuals manually solve CAPTCHA tests for bots for a living. Bots that can solve CAPTCHA difficulties can create phony accounts, and spam boards, scoop up inventory before humans, and other unpleasant repercussions. 

Stytch has fully eliminated the public key site from the CAPTCHA architecture, leaving users with the same experience but making it difficult for bots to scrape and mass assault applications. Businesses can use the solution to interact with legitimate customers. It also saves firms money in the form of fraud, resources, and time. 

CAPTCHA fraud impacts a wide range of businesses. Bot fraud, for example, has disastrous effects for e-commerce firms. When large brands release limited edition or difficult-to-get merchandise, customers frequently utilize bots to purchase the things. They then resale them at a significantly greater price. This creates a terrible experience for legitimate customers and harms brand trust. Companies, in turn, must cope with dissatisfied clients who are unable to receive the things they require. 

Bot Management- All you need to know!

What is a bot and its function?

A bot is a computer program that runs on a network. The bots are programmed to automatically perform certain actions. Normally the tasks performed by a bot are simple, but the bot can do it more often at a faster rate than one can do.

Bots can do any repetitive, non-creative work – anything can be done automatically. They can interact with a web page, complete and submit forms, click on links, scan text, and download content.

What is Bot Management?

Bot Management is a strategy that allows you to filter which bots are allowed to access your web assets. With this strategy, you can enable useful bots, such as Google search engines, while blocking malicious or unwanted bots, such as those used for cyber-attacks. Bot management strategies are designed to detect bot activity, identify bot sources, and determine the type of activity.

Bot management is necessary because bots if left unchecked, can cause serious web architecture problems. Too much bot traffic can put a heavy burden on web servers, slow down or deny the service to legitimate users (sometimes this takes the form of DDoS attacks). Malicious bots can scratch or download content from your website, steal user information, quickly spread spam content, and engage in other forms of cyberattacks.

Management systems that are too strict or that detect fake bots can cause significant damage to an organization’s business. For example, blocking bots on a search engine can lead to loss of traffic, conversions, and revenue, and blocking home-grown bots used for automated testing and automation can disrupt important business operations.

Bot management uses a range of security, machine learning, and web development technologies to accurately detect bots and prevent dangerous activity while allowing legitimate bots to operate without interruption.

How Does Bot Management Work?

To identify bots, bot administrators can use JavaScript challenges (deciding whether to use a standard web browser or not) or CAPTCHA challenges. They may also determine which users are human and which bot is based on behavioral analysis – which means comparing user behavior with normal user behavior in the past. Bot managers need to have a large collection of quality ethics data that they can check to do the latest.

Currently, three main methods of detecting and managing bots are used.

• Fixed method — uses static analytics tools to identify headers and web applications that are known to be associated with malicious bots. This process does not work and can only detect known and active bots.

• A challenge-based approach — using practical challenges or difficult or impossible tests for bots to perform to detect bots. Common challenges include CAPTCHA authentication, JavaScript capability, cookie acceptance.

• Behavior — evaluates user activity that may be related to that function about known patterns to ensure user identity. This process uses a few profiles to separate work and differentiate between human users, good bots, and bad bots.

The most effective bot management strategies incorporate all three strategies to detect the largest number of bots. Combining strategies increases your chances of identifying bots whether they are newly created or have flexible behavior.

In addition to self-control bots, one can also use bot reduction services. These services use automated tools to apply the above strategies and identify bots. They typically monitor your API traffic and use limitations to prevent API abuse. This level limit allows services to limit bots throughout your area rather than focusing on a single IP.

Bot Management – An Overview

Bot Management –
Bots are automated programs designed to complete tasks. The majority of bots do repetitive tasks. Programmers create bots to execute tasks at very high speeds.

Harmful Bots – Bots that are “bad” are now one of the most serious threats to companies. Malicious bot traffic can slow down a website’s efficiency, tie up online inventory, compromise personal information, and result in higher customer churn and revenue loss. They trigger a slew of business issues by targeting blogs, mobile apps, and APIs. DDoS attack, spamming, ad fraud and web scraping are examples of these types of attacks.
Useful Bots – Bots that are useful contribute to the web’s growth and development. They crawl site pages to assess SERP rankings and keep real-time websites up to date with data, or they assist customers in finding the best price for a product or locating stolen assets. It is important for today’s companies to be able to differentiate between good and poor bots.

Some Noteworthy Features of Bot Management Solution are –

  • Extensibility and Flexibility – Bot management extends beyond the website. All online properties, including your website, mobile apps, and APIs, are protected by an enterprise-grade solution. APIs and mobile applications are protected, as is interoperability with the business partners’ systems and critical third-party APIs. The bot mitigation solution is simple to set up and use, with no infrastructure changes or the possibility of traffic being rerouted from your CDN (Content Delivery Network) or DNS.
  • Customer Experience – Latency on websites and applications degrades the user experience. Any bot mitigation strategy does not add to the latency, but rather find and address problems that contribute to it. Bot detection accuracy is crucial. Bot management solution not only differentiates between good and bad bots but also improves the user experience by allowing approved bots from search engines and partners. During peak hours, maintaining a consistent user experience on sites like B2C e-commerce portals can be difficult. To tackle traffic surges, the solution should be scalable. It’s also important to keep false positives to a minimum so that the user experience isn’t harmed.
  • Bot Detection Engine – Bot management solutions use JavaScript challenges or CAPTCHA challenges to identify bots. They also use behavioural analysis to assess which users are humans and which are bots, i.e., comparing a user’s actions to previous user behaviour. For common pages, page requests can reach millions per minute, and data processing for bot detection must be done in real-time. This makes manual intervention difficult even inserting suspected IP address ranges is ineffective against bots that cycle through a large number of addresses in order to avoid detection. Bot mitigation engines with advanced technology including machine learning assist in automating their management capabilities, reducing the time and workforce required to handle bots dramatically. The overall cost of ownership is significantly reduced by automated responses to threats and a system that does not need manual intervention.

Bot management solutions are the key to ensure business continuity and performance, regardless of the size of an organization. The growing volume of global bot traffic and the magnitude of their cumulative effect suggests that bot management solutions are critical to ensure business continuity and success.