Explore Egnyte’s vision for AI-powered content intelligence, blending collaboration, governance, and generative AI to unlock insights, accelerate decisions, and transform how organizations work securely globally.
As AI adoption surges across industries, organizations face critical decisions about how to manage innovation, risk, and control. Open source AI offers enterprises the ability to “own their destiny” — providing transparency, flexibility, and customization that proprietary models often lack. However, with these benefits come challenges: security vulnerabilities, model drift, and cultural shifts in AI literacy. To succeed, businesses must build secure infrastructure, foster cross-functional collaboration, and establish governance pathways that empower safe innovation. The future belongs to cybernetic businesses — and those that proactively shape their AI strategies today will lead tomorrow.
Discover why Operator-as-a-Service (OaaS) is transforming network management with AI, automation, and scalability for today’s digital infrastructure.
Discover how IoT architectures evolved from cloud-only models to edge-based systems that boost speed, scalability, and real-time decision-making.
Docker is simplifying Kubernetes security! Discover how new Helm charts in the Docker Hardened Images (DHI) Catalog give users a secure, compliance-ready alternative after the Broadcom/Bitnami changes. Deploy DHI by default, ensuring SLSA Level 3 security and SLA-backed patching for every Kubernetes workload.
Expert weighs in on technical and cultural shifts happening in the Kubernetes ecosystem while also discussing the future.
Not long ago, Kubernetes aimed primarily to serve stateless workloads. Explore what’s important when running data workloads on Kubernetes.
Expressions are one of the most powerful features of any programming language and Terraform is no expection. Version 0.12 added more powerful features.
Explore the six evolving phases of FinOps, from the initial "Observational" data collection to "Automated" and the future of "Integrated FinOps," revealing how organizations learn to manage cloud spend and optimize infrastructure efficiently over time.
This leading financial services technology company has significantly improved auditability and traceability, streamlined its security technology tool stack, and strengthened its end-to-end software supply chain security by adopting JFrog Advanced Security.
A multinational financial technology firm improved security and compliance by adopting the JFrog Platform for software releases. Using immutable release bundles and controlled promotion, they minimized risks while maintaining strict regulatory standards. JFrog’s Release Lifecycle Management (RLM) capabilities reduced manual intervention, allowing teams to focus on innovation.
Read to know how Strava’s fitness tracking app showcased the loopholes in their data privacy capabilities.