cloud native security
5 Reasons Cloud-Native Companies Should Start Adopting Quantum-Safe Security Today
Quantum computing threatens today’s encryption. Learn why cloud-native organizations must adopt quantum-safe security to stay compliant and resilient ...
Carl Torrence | | API security, cloud encryption, cloud native security, cloud-native DevOps, container security, cybersecurity compliance, data protection, DevSecOps, future-proof encryption, microservices security, multi-cloud security, NIST PQC standards, post-quantum cryptography, PQC, quantum computing risks, quantum resilience, quantum risk mitigation, quantum-safe encryption, quantum-safe security, regulatory compliance
Securing AI Agents With Docker MCP and cagent: Building Trust in Cloud-Native Workflows
Learn how Docker’s Model Context Protocol (MCP) and cagent enable secure, isolated, and auditable AI agent workflows in cloud-native environments ...
Pragya Keshap | | agent-based automation, AgentOps, AI agent security, AI guardrails, AI in DevOps, AI infrastructure security, AI model governance, AI model isolation, AI risk mitigation, AI sandboxing, AI workflow auditing, AI workflow governance, cagent, cloud native security, container security, containerized AI agents, DevSecOps automation, Docker AI tools, Docker containers, Docker MCP, Kubernetes security, least privilege AI, Model Context Protocol, open-source AI security, secure AI pipelines, secure AI workflows, secure containerization, trusted AI agents
The Evolution of Container Security: From Reactive Fixes to Proactive Defense
Container adoption has reached a tipping point. Kubernetes now runs in 96% of enterprises, yet security remains a critical concern affecting both bottom lines and careers. The numbers tell a sobering story: ...
How Distroless Containers Defend Against npm Malware Attacks
The npm breach shows why distroless containers matter. Learn how minimal, continuously rebuilt images strengthen cloud-native supply-chain security ...
Dhanush V M | | CleanStart, cloud native security, container hardening, container security, DevSecOps, distroless best practices, distroless containers, KubeCon 2025, Kubernetes security, malware prevention, minimal container images, npm attack, open source security, phishing attack, SBOM, secure build pipelines, secure software delivery, SLSA compliance, software supply chain security, vulnerability remediation
Why Traditional Kubernetes Security Falls Short for AI Workloads
AI workloads on Kubernetes bring new security risks. Learn five principles—zero trust, observability, and policy-as-code—to protect distributed AI pipelines ...
Ratan Tipirneni | | AI infrastructure, AI security, AI Workloads, cloud native AI, cloud native security, container security, data protection, DevSecOps, edge AI, GPU workloads, KubeCon 2025, kubernetes, Kubernetes observability, Kubernetes security, microsegmentation, multi-cluster security, policy as code, runtime protection, Spectro Cloud report, zero-trust
Runtime Visibility & AI-powered Security in Cloud-Native Environments
Kubernetes and cloud-native platforms have transformed software delivery — but also redefined the attack surface. As threats shift to runtime, visibility and real-time response have become the new security frontline. AI-driven anomaly ...
Alan Shimel | | AI copilot, AI governance, AI in cybersecurity, anomaly detection, automated response, CI/CD security, cloud native security, cloud security, cloud-native defense, container security, DevSecOps, explainable AI, kubernetes, LLMs in security, observability, platform engineering, runtime protection, runtime security, runtime visibility, security automation, security telemetry, service mesh, threat detection, zero-trust
LLMs & Kubernetes Configuration: Automating Hardening, Drift Detection and Policy Enforcement
Kubernetes misconfigurations remain the top security risk. AI copilots promise automated hardening, drift detection, and policy enforcement to make clusters safer ...
Alan Shimel | | admission controllers, AI copilots, AI in Kubernetes, cloud native security, cncf, drift detection, GitOps, KubeGuard, kubernetes, Kubernetes governance, kubernetes hardening, Kubernetes misconfiguration, Kubernetes security, Kyverno, large language models, LLMs, OPA, OpenTelemetry, platform engineering, RBAC, YAML Jenga
Service Mesh Evolution: Ambient Mode, Gateways & The Return of Simpler Architectures
Service mesh is evolving beyond sidecars. Ambient mode and Gateway APIs deliver security, observability, and traffic control with less overhead. Teams benefit from leaner, more flexible architectures ...
Bridging Observability & Security in Kubernetes: Beyond Just Metrics
Kubernetes has expanded agility but also the attack surface. Alan argues that observability and security can no longer live in silos — metrics, logs, and traces already hold critical security signals, while ...
Alan Shimel | | anomaly detection, C2 traffic, cloud native security, convergence, cross-training, crypto-mining, devops, kubernetes, lateral movement, logs, metrics, observability, observability-driven security, OpenTelemetry, organizational silos, platform engineering, runtime security, security, SRE, tool sprawl, traces
CNCF, Docker Partnership Streamlines Container Security, Operations
CNCF and Docker partner to boost open source projects with security, scalability and trusted container delivery through Docker’s DSOS program ...
Nathan Eddy | | cloud native security, CNCF Docker partnership, CNCF projects Kubernetes Prometheus Envoy OpenTelemetry, container image provenance, container registry scalability, container security, DevSecOps open source, Docker Hub trusted images, Docker Hub usage insights, Docker Scout vulnerability scanning, Docker Sponsored Open Source, DSOS program, open source maintainers, open source software supply chain security

