Joe Burton, CEO of digital identity authentication company Telesign, spoke with TechRepublic about how the "fuzzy" realm between statistical analysis and artificial intelligence can fuel global, fast and accurate identity management. Telesign may have been instrumental in the development of two-factor authentication, but it has a marginal share of a market dominated by companies like Persona, OpenID, Okta, Duo Security and LastPass. Burton said the company is looking forward, with big plans to use new technologies and services powered by AI to set itself apart from competitors. A key approach since 2019 has been evolving its Communications Platform-as-a-Service leadership, dispensing with passwords and focusing on mobile numbers for identity verification, data modeling and customized communications. SEE: 1Password's Steve Won: Passwords will soon be past tense.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Securing digital identities is a problem for many organizations. In fact, according to the Identity Defined Security Alliance (IDSA), 79% of organizations have experienced an identity-related breach. Part of the challenge of identity management is the identities that organizations need to manage aren't just human, but machine-based.

IMPULSE project focuses on the multidimensional and user-centric analysis of the transformative impact of these two disruptive technologies on electronic identities (eID) for the improvement of digital public services. IMPULSE "Identity Management in PUbLic Services" aims to transform the mainstream discourse on digital identity by drawing up a user-centric multi-stage method of multidisciplinary evaluation of eID management that combines the bottom-up approach of co-creation with the need for a universal vision of digital identity ethics in providing public services. The demand of more secure digital services, the opportunity to use disruptive technologies and various challenges. A team of 16 entities from 9 different countries will use Artificial Intelligence and Blockchain to improve online identification processes. IMPULSE brings together a set of representative and innovative processes as case studies in 5 countries.

President and Chief Executive Officer at Insight Enterprises, helping clients manage their business today and transform for the future. If 2020 taught us anything about cybersecurity, it's that strengthening corporate defenses against cyberattacks is increasingly dependent on managing user identities of those who access your network. We've gradually moved in that direction since the birth of the bring-your-own-device movement, which created the need to control access to business data from outside the four walls of the office. The rise of the cloud, edge computing and the Internet of Things (IoT) have led us further along the path, requiring new strategies for managing access to resources across increasingly heterogeneous technology environments. Then Covid-19 triggered a work-from-home stampede.

In 2021, more firms will employ AI to battle cyberattacks, trying to gain an edge in a game of one-upmanship with hackers and attackers. A survey of 20 cybersecurity experts recently surveyed by Forbes showed some patterns. For example, open source software can be an easy way into organizations. Gaining more visibility into open source contributions is possible with the use of AI and machine learning, according to Maty Siman, CTO of Checkmarx, a software security company based in Ramat Gan, Israel. "Rarely does a week go by without the discovery of malicious open source packages," Siman stated.

Identity management has been an obstacle for commercial insurance companies for a very long time. Many thought that problems would dissipate or at least become easier to correct by moving to digital systems, but in reality, identity management has only grown more complex. It is obvious that we need a better way. Now, there is fresh hope that identity management will become much easier to wrangle. Artificial intelligence (AI) is progressing rapidly, to the point where it could become a tremendous tool in identifying and cleaning up inaccurate data as well as linking the right providers to the correct claims.

IBM Cloud Identity now features AI-based adaptive access capabilities that help continually assess employee or consumer user risk levels when accessing applications and services. The solution escalates suspicious user interactions for further authentication, while those identified as lower risk are "fast tracked" so they can access applications and services they need. With data breaches on the rise, traditional means of securing access, like passwords, are often not enough to prevent unauthorized access. The rise of credential-stuffing attacks, where a malicious actor obtains a list of credentials and tests them at various other sites using a bot, demonstrates that many password combinations have been leaked. Considering the amount of programs and passwords that employees are managing between their professional and personal lives, it is increasingly important that new security measures do not hinder user experience.

In a decentralised knowledge representation system such as the W eb of Data, it is common and indeed desirable for different knowledge graphs to overlap. Whenever multiple names are used to denote the same thing, owl:sameAs statements are needed in order to link the data and foster reuse. Whilst the deductive value of such identity statements can be extremely useful in enhancing various knowledge-based systems, incorrect use of identity can have wide-ranging effects in a global knowledge space like the W eb of Data. With several works already proven that identity in the W eb is broken, this survey investigates the current state of this "sameAs problem". An open discussion highlights the main weaknesses suffered by solutions in the literature, and draws open challenges to be faced in the future.

Identity access management is at a crossroads. Organizations want to modernize legacy identity infrastructure by implementing a more flexible, mobile-ready identity management system without disrupting security. At identity and security conference Identiverse, the gap between legacy systems and contemporary identity access management systems was apparent among guests and during the main keynote, given by Andre Durand, CEO and founder at Ping Identity in Denver. Ping Identity was a conference sponsor. In this Q&A, Durand talks about common challenges associated with identity access management, what artificial intelligence can bring to identity management and how managing identity within a workforce has changed as end users become more mobile.

Enterprises may soon find themselves replacing their usernames and passwords with algorithms. At the Identiverse 2018 conference last month, a chorus of vendors, infosec experts and keynote speakers discussed how machine learning and artificial intelligence are changing the identity and access management (IAM) space. Specifically, IAM professionals promoted the concept of AI identity management, where vulnerable password systems are replaced by systems that rely instead on biometrics and behavioral security to authenticate users. And, as the argument goes, humans won't be capable of effectively analyzing the growing number of authentication factors, which can include everything from login times and download activity to mouse movements and keystroke patterns. Sarah Squire, senior technical architect at Ping Identity, believes that use of machine learning and AI for authentication and identity management will only increase.