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TLS, certificates, Docker, vulnerabilities, supply chain, KubeCon, SigStore, Kubernetes TrapX container security

Hardening the Core: Container Validation and Malicious Package Defense

Docker images are becoming a major software supply chain risk. Learn why scanning alone is not enough and how layered security can protect containers from build to runtime ...

Sean Roth | July 22, 2026 | CI/CD security, cloud native security, container image vulnerabilities, container isolation, container registries, container runtime security, container security, container vulnerability scanning, dependency security, DevSecOps, Docker hardening, Docker image security, image lifecycle security, image validation, malicious container images, malicious packages, minimal base images, non-root containers, runtime protection, SBOM, secure build practices, secure Docker images, software supply chain security, zero-day threats

SRE, autoscaling, Tailscale, Kubernetes, argo cd, Kubernetes v1.33, AI, Nelm, Kubernetes, architecture, , architecture, Rackspace, GPUs, Kubernetes, Solo.io Kubernetes cloud foundry keptn cloud-native automation

What to Expect From Kubernetes 1.36

Kubernetes 1.36 launches April 22, 2026, marking a major shift in networking as Ingress-Nginx retires in favor of the more scalable Gateway API. Key updates include bolstered Linux User Namespaces for better ...

Adrian Bridgwater | March 13, 2026 | admission control config, CloudNativeCon, cluster security, container isolation, Deployment Stability, DRA, Dynamic Resource Allocation, EKS, fat image anti-pattern, gateway API, ingress-nginx retirement, Karpenter, KubeCon Europe, Kubernetes 1.36, Linux user namespaces, LLM weights, manifest-based admission control, OCI artifacts, platform engineering, security patches, specialized hardware, taints and tolerations, upgrade risk, VolumeSource, WatchCache

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Modernize for the AI Era

14 October 2026

Modernize for the AI Era

Migrating Apache Solr Workloads to Amazon OpenSearch Service

29 September 2026

Migrating Apache Solr Workloads to Amazon OpenSearch Service

Kubernetes & AI: Powering the Next Generation of Intelligent Infrastructure

21 September 2026

Kubernetes & AI: Powering the Next Generation of Intelligent Infrastructure

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Practitioner Perspective: Achieving Fine-Grained Control for Data and AI on the Endpoint

20 October 2026

Practitioner Perspective: Achieving Fine-Grained Control for Data and AI on the Endpoint

Agentic Runtime Security on AWS: Identity, Least Privilege, and Audit for AI Agents with IBM Verify Identity Access and HashiCorp Vault

1 October 2026

Agentic Runtime Security on AWS: Identity, Least Privilege, and Audit for AI Agents with IBM Verify Identity Access and HashiCorp Vault

Closing the Loop on AI Coders: 3,200 Vulns Fixed with Zero Human Triage

1 October 2026

Closing the Loop on AI Coders: 3,200 Vulns Fixed with Zero Human Triage

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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

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Kubernetes Key Management Streamlined by HashiCorp Vault Plug-In

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August 13, 2026

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Kubeflow’s Graduation Is a Vote for Kubernetes as the AI Control Plane

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Modern Software Development and Delivery

1Q1

2Q2

3Q3

4Q4

5Q5

6Q6

How would you best describe your organization's current software delivery environment(s) on mainframe computers? (Select all that apply)(Required)

Primarily manual or legacy delivery processes

Automated CI/CD in limited areas

Hybrid environment with multiple delivery platforms and toolchains

Mostly standardized CI/CD platform

Intelligent, governed software delivery platform

My organization does not utilize mainframes

Not sure / don't know

Which outcomes are most important to your organization's software delivery strategy today? (Select up to three)(Required)

Accelerating software delivery

Automating build, test, and deployment workflows

Integrating security and compliance into delivery

Providing governance and auditability

Supporting AI-assisted software delivery

Improving software supply chain visibility

Standardizing delivery across teams

Supporting both modern and legacy application delivery

Other

Not sure / don't know

What, if anything, is limiting your organization's mainframe software delivery progress? (Select up to three)(Required)

Legacy applications or legacy development processes

Fragmented tools and disconnected workflows

Security, governance, or compliance requirements

Limited automation across the delivery lifecycle

Difficulty integrating AI into software delivery workflows

Skills or resource constraints

Organizational or cultural resistance to change

Limited visibility across the software delivery lifecycle

Budget or investment constraints

Other

Nothing is significantly limiting our progress

Not sure / don't know

In which areas of your mainframe software delivery environment are you currently using AI? (Select all that apply)(Required)

Code generation / developer assistance

Automated testing / test generation

Build and pipeline optimization

Deployment automation

Monitoring and incident response

Security / compliance automation

Other

We are not currently using AI in our environment today

As software delivery responsibilities expand beyond traditional build, test, and deploy, which of the following areas is the most challenging for your organization today with respect to mainframe software delivery? (Select one)(Required)

Integrating security throughout the software delivery lifecycle

Meeting governance, audit, or compliance requirements

Managing software supply chain integrity and visibility

Operationalizing AI across software delivery workflows

Coordinating software delivery across diverse tools, teams, and environments

Other

None of these are significant challenges

Not sure / don't know

Which of the following do you expect is most likely to accelerate your organization's mainframe software delivery progress over the next 12-18 months? (Select one)(Required)

Greater automation across the software delivery lifecycle

Broader use of AI-assisted software delivery workflows

Stronger governance, policy, and compliance automation

Improved software supply chain visibility

Better integration across software delivery tools and platforms

Greater standardization across development teams

Other

No significant changes are planned

Not sure / don't know

Δ