The Power of Machine Learning to Fight Fraud
As the threat landscape continues to become increasingly complex, fraud and security teams find it significantly harder to deal with the problem efficiently. Partnering with the right security vendor and consuming the insight they provide in the most efficient way is key for making accurate, real-time risk decisions. The current ... Read More

Privacy Access Token
Various browser vendors (Apple, Google, Mozilla) recently announced support for the private access token (PAT), a new standard being drafted by the IETF. The privacy pass is designed to bring more privacy to web users, and reduce data collection or the need to interrupt the user experience with a CAPTCHA ... Read More
The Evolution of Bot Attacks
A bot is an automated application that is programmed to do certain tasks that often mimic or replace a human user’s behavior. Legacy captcha solutions, unfortunately, have not evolved at the same rate, leaving organizations that utilize them vulnerable to attacks. The dynamic of bot attacks A wealth of information, ... Read More

How To Effectively Use Risk Scoring
Arkose Labs is proud to introduce an enhanced version of its risk score algorithm taking into account newly added detection methods, simplifying the maintenance of the product, and opening up a path for self-serviceability. The need for risk scores Keeping up with the evolution of attacks requires introducing new and ... Read More

Arkose Labs’ Approach to Machine Learning for Bot Detection
Overview The Internet ecosystem is getting more and more complex, with the number of connected devices per individual continuously rising. In developed countries, it was estimated that each person owned on average 10 connected devices in 2020, a number that will likely increase to 15 by 2030. Each of these ... Read More

Busting Fraudster Hideouts with Next-Generation Device Intelligence
Arkose Labs’ Device Intelligence leverages device fingerprinting and advanced machine learning models to help businesses automatically stop malicious bots and recognize humans Recent advancements in technology have enabled improved detection of automated attacks. This has translated into a resetting of efforts for fraudsters, who are now leveraging tools and techniques ... Read More

All Digital Accounts are Vulnerable to Credential Stuffing Attacks
Credential stuffing attacks are where fraudsters match thousands of stolen username-password combinations to arrive at valid combinations. To achieve scale at the least possible investment, they deploy automation  Automated credential stuffing is one of the most cost-efficient methods fraudsters use to tailor their attacks according to the target industry or ... Read More
Arkose Labs Joins the World Wide Web Consortium
With its membership of the World Wide Web Consortium, Arkose Labs has joined the elite group of companies that are redefining the global norms for web development and cyber security. The membership will further strengthen our capabilities in developing solutions that help make the internet safer for everyone Arkose Labs ... Read More
How Fraudsters Blur the Line between Suspicious and Legitimate Traffic
Two of the biggest challenges we face as a web security vendor is gaining a good understanding of the Internet ecosystem and finding the right balance between false positives (when the system incorrectly classifies a legitimate session as suspicious) and false negatives (when the system incorrectly classifies suspicious traffic as legitimate) ... Read More
The Power of IP Intelligence
At Arkose Labs, we constantly look for new ways to improve our detection engine so as to make better decisions on who to challenge and when to serve more complex puzzles depending on the risk associated with the session. To do that, we rely on many signals that look at ... Read More