Operations | Monitoring | ITSM | DevOps | Cloud

Tech Talk #14 - Skill issue: A guide to Using AI skills with VictoriaMetrics

An engineer in an incident does not have a metrics problem, a logs problem and a traces problem. They have one question, and answering it today means opening three interfaces and retyping the same timestamp, service name and tenant into each one.

Canonical joins the Open Secure AI Alliance

Canonical is now part of the Open Secure AI Alliance, announced by NVIDIA with partners across cloud computing, cybersecurity, enterprise software, open source foundations, and AI research. The alliance aims to develop and share open technologies, techniques, and tools to safeguard software and agents in the age of AI.

AI harnesses for telco autonomous networks

Across the global landscape, telecommunications operators have already deployed machine learning for predictive maintenance, customer care chatbots, and anomaly detection. However, as the industry transitions toward Autonomous Networks Level 4 (AN L4), where networks can make intent-driven, predictive decisions and perform closed-loop management with minimal human intervention, a fundamental architectural challenge has emerged.

No more manual invoicing: How ManageEngine MSP Central automates usage-based billing

ManageEngine MSP Central's billing capability, powered by Zoho Billing, is officially live—and the headline feature is automated usage-based billing. No more pulling usage numbers manually, matching them to invoices, and updating everything by hand every month. Here's what changes: Customer data syncs automatically from MSP Central to Zoho Billing—no duplicate client records. Every service you deliver, including endpoint management, ITSM, and infrastructure monitoring, becomes billable in Zoho Billing without manual setup. Set up subscriptions per client, per service—one client can run multiple subscriptions at once.

Introducing APEX: Adversarial Pattern Extraction and Correlation

In this Black Hat talk, Nicole Beckwith introduces APEX (Adversarial Pattern Extraction and Correlation), a detection framework—not a Cribl product—that clusters TTP-based signals around entities to support behavioral detection. It is intended for security practitioners, SOC and detection teams, and threat hunters who want to learn how to use raw telemetry or OCSF data, TTP chaining, time windows, criticality, and cross-correlation to detect behavior beyond static indicators and rule-count coverage.

Loop Engineering Guardrails for iGaming with Claude Code and CX CLI

Tuning guardrails can take time. To accelerate this, we combined the power of Claude Code, Coralogix Telemetry and the CX CLI, to build a loop that iterates on guardrails. To test our loop, we built a fictional chat interface for an iGaming operator, that took bets, gave odds on markets and more, but with a catch: this agent was not permitted to make predictions about where the market was going. With our goal in place, we got to work designing our loop.