Gartner Names 4 Cool Vendors in Identity and Access Management and Fraud Detection
Recently, researchers at technology research giant Gartner released their 2020 Cool Vendors in Identity and Access Management and Fraud Detection. Gartner uses this report to share the up-and-coming vendors they consider innovative in the identity and access management market. In other words, Gartner considers the 2020 Cool Vendors in Identity and Access Management and Fraud Detection interesting among emerging providers.
What makes the Gartner 2020 Cool Vendors in IAM and Fraud Detection, for lack of a better word, cool? We explore the answer in detail below.
Gartner 2020 Cool Vendors in Identity and Access Management and Fraud Detection
Gartner emphasizes that IT decision-makers seek solutions with strong user experiences with fraud detection; moreover, it should help shift workloads to the cloud and to decentralized identity models.
After all, detecting fraud cases can cause friction and degrade the user experience in the first place. Unfortunately, since users demand seamless, frictionless experiences, this could lead to further challenges.
Cool Vendors in this report offer fraud detection capabilities largely built on supervised machine learning. These solutions help evaluate security controls in IaaS environments as part of a comprehensive identity and access management strategy.
Gartner named four choices for 2020 Cool Vendors in IAM and Fraud Detection:
Arkose Labs
Gartner cites Arkose Labs for its capabilities in reducing or eliminating friction for users while simultaneously addressing fraud problems, data scraping, credential stuffing, false account creation, and automated account abuse.
Bloom
Bloom operates as a decentralized identity and credit-scoring vendor. Additionally, Bloom provides financial institutions with action-oriented information for threat intelligence-led prevention and remediation efforts.
CloudKnox Security
CloudKnox Security allows for the abstraction of several granular controls, privileges, and access into a manageable number of activities to mitigate risk. Further, it helps manage access with visibility, identity analytics, and rightsizing of privileges.
DataVisor
Gartner notes that DataVisor approaches the same challenges differently. It uses unsupervised machine learning to decrease detection time concerning emerging fraud trends. Also, it applies further analysis to these clusters to identify fraudulent features.
You can download the full report here.
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Ben Canner
Ben Canner is an enterprise technology writer and analyst covering Identity Management, SIEM, Endpoint Protection, and Cybersecurity writ large. He holds a Bachelor of Arts Degree in English from Clark University in Worcester, MA. He previously worked as a corporate blogger and ghost writer. You can reach him via Twitter and LinkedIn.
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