Digital transformation

Digital transformation goes hand-in-hand with Zero Trust security

Nastel® Technologies
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Digital transformation goes hand-in-hand with Zero Trust security

Forward-looking organizations are investing in Zero Trust security and strong MFA, modern app development, IaaS, and digital transformation, a recently released Okta report has shown.

Current situation and expectations

Based on the answers by 1,050 IT, security, and engineering decision makers at global companies (from a wide variety of industries) with over $1 billion in revenue:

  • 63% of the companies are expected to increase the number of contractors and remote workers
  • 59% are either actively working to secure themselves with a Zero Trust philosophy or are beginning to build the strategy into a formal plan (and it seems that the the drive towards Zero Trust is being led from the management layers in IT, rather than the boardroom)
  • 50% are either actively working to digitize their business and technology or are beginning to build the strategy into a formal plan
  • 60% are expected to increase IaaS adoption
  • 55% are deploying a multi-cloud strategy and 65% are expected to increase the number of clouds they run in the coming year
  • 62% of the respondents expect their company’s cloud application “end state” to be between 10% to 50% of apps running in the cloud

86% of the companies are investing in at least one Agile application development technology (containerization, continuous delivery, Functions-as-a-Service, microservices – with CD and microservices being most popular), and 90% of the companies investing in either one or more of “forward-looking” technologies (AI, augmented reality, blockchain and IoT – with AI and IoT being most popular).

“Expectations around digital transformation are high, as IT, security, and engineering decision makers expect significant and often long-term returns for undertaking such initiatives. When asked to rank their expected benefits of digital transformation, respondents picked improve customer experience (19%), keep an edge against competitors (16%), and grow into new markets (16%) most frequently for the #1 spot,” Okta noted.

This article originally appeared on  To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here

Nastel Technologies, a global leader in integration infrastructure (i2) and transaction management for mission-critical applications, helps companies achieve flawless delivery of digital services.


Nastel delivers Integration Infrastructure Management (i2M), Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate. To answer business-centric questions and provide actionable guidance for decision-makers.
The Nastel Platform delivers:

  • Integration Infrastructure Management (i2M)
  • Predictive and Proactive anomaly detection that virtually eliminates war room scenarios and improves root cause analysis
  • Self-service for DevOps and CI: CD teams to achieve their speed to market goals
  • Advanced reporting and alerting for business, IT, compliance, and security purposes
  • Decision Support (DSS) for business and IT
  • Visualization of end-to-end user experiences through the entire application stack
  • Innovative Machine Learning AI to compare real-time to the historical record and discover and remediate events before they are critical
  • Large scale, high-performance complex event processing that delivers tracing, tracking, and stitching of all forms of machine data
  • And much more


  • Dave
    December 21, 2021
    Fascinating piece of research, but what is unclear from this summary of this study is if the AI is actually more or less reliable than human analysis. 5 radiologists is quite a small sample, and the range of accuracy of fake detection is so wide that the results of the AI actually fit inside that range. Are the volumes of tests enough to be statistically viable? And of course the real issue is that compromised images could take many forms, some could be complete real images replacing the image to be tested, while others could have artifacts added or removed. So is the issue AI or the ability to secure the way an image is managed from creation to analysis. That then becomes a integration infrastructure management (i2M) problem.
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