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In their haste to deploy the cloud native solutions require cloud-that they need to be competitive in their markets, many organizations overlook the security that will keep cloud native solutions viable. While this is primarily a DevSecOps concern, IT teams need to be involved in the selecting and implementing of security tools for CI/CD development pipelines. If organizations do not plan for appropriate levels of cloud native security—and choose instead to rely on existing solutions—they may not be fully prepared to meet the rigors of cloud-native computing. And they may find themselves ultimately slowing cloud native efforts to catch up on the security that will make them successful.
At the same time, everyone is wondering how artificial intelligence and machine learning will impact their security efforts, particularly in terms of digital identity. These investigations into how new technologies will impact digital identities also raise questions about which factors will really be relevant for machine identities in the future. Global Sign calls out the need to standardize on strategies that drive trust, security and empowerment.
Here are the cloud native security stories that explore the success factors for modern machine identity management for cloud native environments.
Security concerns slowing Kubernetes adoption
The agility of cloud native technologies is driving rapid adoption across a broad range of organizations. This move is driven by the primary benefits of faster time to market, adaptability and reliability. But in their haste to benefit from cloud native technologies, may organizations have overlooked the unique security requirements for these modern environments. And inadequate security for cloud native environments can actually impede their ultimate success.
This year’s State of Kubernetes Security report found that 67% of respondents have had to delay or slow down application deployment due to security concerns. This is not entirely unexpected with the adoption of new technologies where unforeseen security challenges arise and may often be overlooked in the heat of the moment. But the role security plays in a successful technology adoption should never be underestimated.
Ajmal Kohgadai from Technology Decisions notes that one of the best ways to overcome the investment and adoption gap is by investing in cloud-native tools with security baked in, rather than it being an add-on. With security integrated into the solution, organizations don’t have to find additional money in the budget for security solutions that align with their latest technologies.
Leveraging AI and machine learning in identity security
It seems like everyone is thinking about the global impact of ChatGPT and other new solutions that leverage artificial intelligence (AI) and machine learning (ML). One very interesting way that these new technologies will impact security revolves around digital identity. AI and ML have the potential to revolutionize identity security and speed up the adoption of related programs by providing actionable insights and streamlining processes.
In fact, AI and ML already accelerate identity security by streamlining processes and providing actionable insights to administrators and users. According to Jonathan Neal at Saviynt, ML can automate routine activities related to identity security, detect unusual behavior and identity anomalies, evaluate access rights and usage patterns, and offer insights to entitlement owners.
Neal also notes that AI algorithms can enhance security measures and enhance user experience by reducing the time and effort required to manage IAM programs. With these capabilities, organizations can quickly identify and address high-risk access and activities, ensuring regulatory compliance on an ongoing basis.
How might you leverage AI and ML in your cloud native and machine identity management programs? Read the full story here.
The evolution and future of identity will focus on trust, security and empowerment
It’s no doubt that our concept of identity has been radically transformed by the extremely distributed and online world that we operate in. The very notions of identity—particularly digital or machine identities have become fluid on many fronts. In fact, our digital identities have seemingly endless permutations through multiple accounts, transactions and credentials. So, what are the constants that we can rely on to establish and validate digital identities?
One thing is for sure: our concept of identities should no longer be based solely on a human component. Digital identities now represent resources assets, machines, containers, APIs and more. And they are being assigned to computer systems, apps and networks, either on-premises or in the cloud, and to countless IoT devices. Digital identification has, therefore, become critical for ensuring the security of data and devices, and for privacy compliance.
Global Sign’s Lila Kee explores why the era of digital identity has ushered in a new embodiment for defining and verifying what constitutes and requires an identity. Read the full story here.