Bot Detection and Mitigation Statistics


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Steve Bennett
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Bot Detection And Mitigation Statistics 2023: Facts about Bot Detection And Mitigation outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Bot Detection And Mitigation, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Bot Detection And Mitigation Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 13 Bot Detection And Mitigation Statistics on this page 🙂

Bot Detection And Mitigation “Latest” Statistics

  • 40% of all bot traffic worldwide targeted mobile apps.[1]
  • During the LFA assault, BALANCE had an HTTP response time of 2 seconds and was 97.64% accurate in detecting LFA bots.[2]
  • According to the Spamhaus Project, India presently leads the globe in terms of the number of botnets with 665,710, followed by China and the U.S.[3]
  • Prior to deployment, 65% of firms report that setting up and optimizing their bot solution takes more than a week.[4]
  • 92% claim that administering or maintaining bot mitigation rules and policies takes the person in charge at least 25 hours per month on average.[4]
  • To remediate a successful bot attack, 63% of jobs say it takes at least a week.[4]
  • One bot assault often costs a company $500k or more, according to 25% of respondents, and one bot attack typically costs an organization $250k or more, according to 44%.[4]
  • A staggering 66% of the total expenses required to combat bot assaults are attributable to the continuous management maintenance and post-event repair of their bot mitigation solution.[4]
  • Only 15% of users claim that their bot control or mitigation solution is still effective a year after being first implemented.[4]
  • The financial impact of bad bots is still significant according to a survey, 64% of firms experienced revenue losses of at least 6% and at least 10% in the last year as a result of bot assaults.[4]
  • The majority 77% of businesses spent $250,000 or more on countering bot attacks, while 63% spent less.[4]
  • Research has shown that up to 30-70% of malicious bots that traditional anti-bot solutions are supposed to stop aren’t effective.[5]
  • Prior to contacting Kasada, 85% of customers were already using other bot mitigation software.[5]

Also Read

How Useful is Bot Detection and Mitigation

The growing prevalence of bots in various online spaces poses a real threat to businesses, governments, and individuals alike. These bots are programmed to carry out a wide range of tasks, from spamming comments sections and spreading fake news to conducting fraudulent activities like credential stuffing and click fraud. The impact of bot activity can be far-reaching, leading to financial loss, reputational damage, and even political manipulation.

Detecting these bots can be a challenging task, considering how sophisticated they have become in recent years. Many bots are designed to mimic human behavior, making it difficult for traditional security measures to identify them. This is where advanced bot detection technologies come into play, leveraging artificial intelligence and machine learning algorithms to pinpoint suspicious activities and separate bots from legitimate users.

One of the key benefits of bot detection and mitigation is the protection of user data and privacy. By identifying and blocking malicious bots, organizations can prevent personal information from being harvested and misused. This not only safeguards individuals from potential identity theft and fraud but also ensures compliance with data protection regulations.

Moreover, bot detection helps in maintaining the integrity of online platforms and preserving user experience. Bots can degrade website performance, consume bandwidth, and distort analytics data, resulting in a subpar user experience. By eliminating these unwanted entities, organizations can ensure smooth website operation and provide users with a seamless browsing experience.

In addition to these benefits, bot detection and mitigation play a crucial role in upholding cybersecurity standards. Bots are often used as vehicles for launching DDoS attacks, injecting malware, and stealing sensitive information. By proactively detecting and neutralizing these threats, organizations can fortify their digital defenses and mitigate the risk of cyber incidents.

However, it is essential to recognize that bot detection is not a foolproof solution. As bot technology continues to evolve, so do the tactics used to evade detection. This cat-and-mouse game between bots and security measures requires constant vigilance and adaptation on the part of cybersecurity professionals.

Furthermore, the effectiveness of bot detection and mitigation relies heavily on the implementation of robust security measures across all layers of the digital infrastructure. By combining bot detection technologies with strong authentication protocols, encryption mechanisms, and access controls, organizations can create a multi-layered defense strategy that fortifies their cybersecurity posture.

In conclusion, bot detection and mitigation are invaluable tools in the ongoing battle against malicious bots. While not flawless, these technologies provide organizations with the means to identify and neutralize threats, protect user privacy, and uphold cybersecurity standards. As the digital landscape continues to evolve, investing in proactive bot detection measures will be essential for safeguarding online spaces and ensuring a secure digital environment for all.

Reference

  1. datadome – https://datadome.co/bot-detection-software/
  2. ieee – https://ieeexplore.ieee.org/document/9099887
  3. seon – https://seon.io/resources/bot-detection-and-mitigation-software/
  4. webinarcare – https://webinarcare.com/best-bot-detection-and-mitigation-software/bot-detection-and-mitigation-statistics/
  5. kasada – https://www.kasada.io/bot-mitigation/10-bot-mitigation-myths-debunked/

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