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Tag: Third-party Dependencies

reliability, SRE, practices, Site reliability engineering, operations, SRE, SREs, software,

What to do About AI’s Forced Rethink of Reliability in Modern DevOps 

| | Agentic Workflows, AI monitoring, AI observability, AI reliability, AI. analytics, business impact, CDNs, customer churn, devops, digital experience, experience-driven resilience, incident response, internet stack, KPIs, latency, LLM applications, model drift, monitoring tools, NPS, observability, performance, performance degradation, reliability, reliability strategy, revenue, SaaS, site reliability engineering, SLIs, SLOs, SRE Report 2026, Third-party Dependencies, trust, uptime, user experience
As systems become more distributed and AI-driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward user experience, speed, and business impact, and how ...
supply chain, software, Checkmarx, data, Endor, SCA, supply chain, security, workflows, supply chain, software, supply chain security, appsec, polyfill, software, supply chains, DevOps, DevSecOps, Google supply chain

Establishing Visibility and Governance for Your Software Supply Chain

| | application security, asset visibility, attack surface management, build-time security, Cloud Governance, context-aware security, cybersecurity governance, dependency tracking, eBPF runtime analysis, Kubernetes Gatekeeper, Log4Shell, open source security, provenance attestation, risk reduction, SBoM, SBOM automation, secure software development, SLSA, software bill of materials, software provenance, Software Supply Chain Security, supply chain risk, Third-party Dependencies, VEX, vulnerability management, vulnerability prioritization
Asset visibility and cloud governance start with SBOMs, VEX, and provenance tracking. Learn how to secure your software supply chain ...
AI/ML, security, cloud security, DevSecOps, AWS, Security AppSec Managing cloud security

How to Extend an Application Security Program to AI/ML Applications

| | AI/ML Applications, Application Security Program, appsec, Data Security Model, Large Language Models, LLMs, Runtime Environments, Security Risks, supply chain security, Third-party Dependencies
While various AI/ML application risks are like traditional application security risks and can be protected using the same tools and platforms, runtime security for the new models requires new methods of securing ...