Arkose Lab is the global leader in fraud deterrence and account security. It protects online consumer accounts by stopping bad actors before they can get into a company’s systems. Its fraud deterrence approach consists of three steps: 1) classify traffic in real-time and associate a risk score to it; 2) present risky traffic with adaptive step-up challenges that impose a higher degree of friction for the attacker, and 3) rapidly optimize and redeploy machine learning models through feedback loops and data sharing.
Arkose Labs assesses in real-time three broad categories of data: 1) behavior - velocity, time, movement; 2) device intelligence - capabilities, fingerprints; and 3) network - location, traffic type. This data is collected directly from customers’ end users. That data is passed to the company’s cloud and its network platform decides on risk in real-time.
It’s differentiated from other fraud prevention vendors in three ways 1) the type and amount of data in its global network platform; 2) its graduated friction applied based on risk, which ensures the highest good-user throughput (lowest false negatives) and adds insurmountable effort to adversaries (lowest false negatives). Additionally, customers are supported by the Arkose Labs SOC, backed by SLAs and a $1 Million Credential Stuffing Warranty that means customers don't need to figure out how to combat the adversaries because Arkose Labs experts do that for them; and 3) the extremely high efficacy of its foundational technology. Its technology works, which is why the most recognizable brands in the world, like Microsoft, PayPal, EA, Roblox, Experian, Snap, etc. have selected it.
Arkose Labs technology frustrates fraudsters to the point that their attacks are no longer profitable, causing them to give up the attack and move on to lesser protected companies.
Arkose Labs, a trusted leader in bot management and account security, safeguards the world’s largest B2C enterprises, Fortune 500 companies, and trailblazing businesses. Its AI-powered Arkose Bot Mana
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