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The march of the cloud is unstoppable. Eager to outsource the tedious and expensive maintenance of their IT infrastructures to a reliable 3rd party, most companies would dream of becoming cloud-native, at least in the long term. Needless to say, letting someone else run your identity management out there sounds like a great idea as well, hence the rising popularity of Identity-as-a-Service solutions that combine the latest technology achievements with the flexibility of the cloud.

IAM and therein IGA (Identity Governance & Administration) focuses on managing identities and their access across a variety of systems.

When AI comes to mind, many people, maybe in Europe a bit more than in other parts of the world, fear some kind of terrestrial robot overlords taking over control, forcing us humans to surrender and devote our freedom to their understanding of a well-organized society without all those things that make our lives worth living.

Even though companies need to implement Identity Governance & Administration (IGA) solutions in order to stay compliant and support their security, the deployment of IGA solutions still poses a challenge to many of them. Delivering a frictionless experience for users and employees while efficiently managing identities and access entitlements are key to a successful deployment.

Identity Governance and Administration (IGA) is undoubtedly one of the most valued but complex and lengthy technology implementations. While IAM leaders are still trying to figure out the complexities of IGA, the massive cloud uptake with the advent of machine learning accelerates identity analytics and access governance for creation of Next-Gen IGA solutions. Machine Learning inspired IGA offers significant improvements to enhance identity analytics and access governance processes to enable IAM leaders support the business better by helping them make more informed decisions.

With a huge amount of data around, cloud migration is the ideal solution today. A necessary stage in migrating data to the cloud is putting it in order. This is particularly important when it comes to unstructured, so-called dark data: files and documents that are undermanaged (excel files of budget estimates, PDFs containing important patents, Word documents containing personal employee or customer information), in general the data that is not managed in an orderly fashion such as structured database which is easily governed. Usually, this kind of data that tends to be misplaced, misused,

As the growing number of high-profile data breaches indicates, even the largest companies are still struggling with implementing consistent enterprise-wide information security measures. Setting up various security tools for numerous different applications, services, and heterogeneous systems and then making them work together efficiently is a massive challenge.

More and more organizations use CIAM for B2B use cases as such combination can help companies position themselves on the market. While no one argues that user experience journey for the B2B Customer is just as important as any other customer, they most certainly need a relatively different set of features.

Several measures have been undertaken by Organizations at various levels to comply with GDPR, most of which remain reactive, fragmented and largely ad-hoc. These controls are also not continuous in nature and therefore fail to satisfy ongoing compliance requirements. Organizational leaders (CISOs, CIOs, CDPOs or CROs) felt the need for better data controls that should be baked into organizational processes to ensure compliance by design.

When discussing the matters of industrial cybersecurity with IT experts, lamenting the historical divide between OT and IT seems to be a popular topic: you would often hear that the OT engineers are stubbornly ignoring the latest cyberthreats and do not see security as a priority in general.

Despite compromised passwords being the leading cause of data breaches, most online businesses still rely on solely using passwords for logins. While getting rid of password authentication is desirable from a security standpoint, organizations fear that it is a costly endeavor that can also affect user experience.

IGA-Projekte (Identity Governance & Administration) bergen aufgrund ihrer Komplexität diverse Risiken. Diese ergeben sich meistens in der Vernetzung einer komplexen, heterogenen IT-Infrastruktur sowie durch den bereichsübergreifenden Charakter von IGA-Projekten. Wenn man nicht bei jedem Projekt immer wieder von Null anfangen möchte, und auf Erfahrungswerte zurückgreift, können viele Risiken sehr leicht vermieden werden.

Insufficiently protected privileged accounts pose high risks to any given company today. Therefore, Privileged Account Management (PAM) is of paramount importance to a functional insider threat program, which is at the core of any modern cybersecurity strategy. While utilizing a variety of IaaS, PaaS and SaaS offerings, organizations often face difficulties in controlling the management of their privileged accounts due to a lack of time, budget and other resources.