Editorial Calendar
Future Proofing the Foundation for AI-Ready Security Operations
Last December, the International Telecommunication Union (ITU), the United Nations’ (UN) body for information and communication technologies, supported Open Cybersecurity Schema Framework (OCSF) for ratification as an international standard by June 2026. Standardization is ...
PagerDuty Extends Scope and Reach of AI SRE Platform
PagerDuty has extended the capabilities and reach of its artificial intelligence (AI) agents to enable them to be invoked directly from within the Slack messaging platform. Additionally, the AI SRE Agent that ...
Two Malicious npm Packages Aim to Steal Credentials and Other Secrets
Jeff Burt | | API Keys, CI/CD pipelines, credential theft, Data Exfiltration, exposed secrets, GitHub repositories, maintainer account, malicious npm packages, sonatypeBad actors took over a npm maintainer account and have published two malicious packages designed to steal credentials, API keys, and other secrets from the computers of victims who download them from ...
The SaaS Observability Era is Ending: Why BYOC Is the Future of Telemetry
Shahar Azulay | | AI workload observability, Bring Your Own Cloud, BYOC Observability, Cardinality Surcharges, cloud-native monitoring, Data Ingestion Pricing, Egress Cost Optimization, FinOps for Observability, High-Cardinality Metrics, Infrastructure as Code Monitoring, Kubernetes Telemetry 2026, Modern Engineering Architecture, OpenTelemetry Standards, Private Cloud Observability, Real-time Telemetry Processing, SaaS Observability Costs, Telemetry Data Sovereignty, Trace Sampling Tradeoffs, VPC Deployed Monitoring, Zero Trust ObservabilityThe era of expensive, centralized SaaS observability is hitting a wall. Discover why the "architectural revolution" of Bring Your Own Cloud (BYOC) is the 2026 solution for Kubernetes and AI workloads, restoring ...
Secure Code Warrior AI Agent Applies Policies to AI Generated Code
Secure Code Warrior (SCW) this week added an artificial intelligence (AI) agent that both identifies code generated by an AI coding tool and automatically applies the appropriate governance policies. Company CEO Pieter ...
Checkmarx Adds Orchestration Framework to DevSecOps Platform
Checkmarx this week revamped its DevSecOps platform to include an orchestration framework for managing tasks assigned to artificial intelligence (AI) agents. Additionally, the company has added two additional artificial intelligence (AI) agents ...
Arcjet Extends Runtime Policy Engine to Block Malicious Prompts
Arcjet today added an ability to detect and block risky prompts before they are shared with a large language model (LLM) embedded within an application. The Arcjet AI prompt injection protection capability ...
Spacelift Intelligence Vibe-Codes Infrastructure
Whether the DevOps shops like it or not, they are feeling the pressure from AI. They’re expected to move more quickly, alongside their dev counterparts. The gruntwork that used to take weeks ...
Komodor Extends Reach of AI SRE Orchestration Framework
Komodor today extended the reach of its orchestration framework for artificial intelligence (AI) agents by adding support for Model Context Protocol (MCP) servers and the OpenAPI specification. Company CTO Itiel Shwartz said ...
Policy as Code for Cost Control, Not Just Compliance
Mariusz Michalowski | | cloud cost management, FinOps, infrastructure as code, kubernetes, platform engineering, policy as codePolicy as code can do more than enforce compliance. Learn how platform teams use guardrails, tagging and sizing policies to prevent cloud cost waste early ...
The Green Side of Observability: Why Less Data Can Mean More Insight
Observability can generate massive data volumes. Learn how sustainable observability reduces telemetry waste, lowers costs and improves insight ...
Low-Code’s New Frontier: Tailored Solutions for Each Industry
JJ McGuigan | | application development platforms, DevOps pipelines, digital transformation, enterprise devops, low-code development, regulated industriesFor years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering ...
