Operations | Monitoring | ITSM | DevOps | Cloud

Climbing the Security Pyramid: From Awareness to Automation with AI and Observability

Modern threats don't wait. They move fast, hide deep, and often strike without warning. That's why old-school security isn't enough anymore. You need more than firewalls and login rules. You need layers. You need clarity. And most of all, you need speed. This is where the security pyramid comes in. It shows how smart security stacks-from the ground up. It starts with awareness and ends with advanced tools like automation and AI. In this article, we'll break it down step by step-and show how observability and automation help you climb it.

The Ethics of AI in Business and Content Creation

As AI tools become everyday instruments in business and content creation, the ethics surrounding their use can no longer be ignored. From authorship and originality to bias and transparency, ethical concerns must be addressed head-on to ensure trust and integrity in the digital age. In this article, we explore the ethical dimensions of AI in business and content creation-and what responsible use looks like in 2025.

Visualize Your Puppet Data in Splunk, Datadog & More [Demo]

Get more from your Puppet data and easily visualize events in your favorite observability tool. The Observability Data Connector in Puppet Enterprise Advanced empowers DevSecOps teams with real-time insights by exporting critical data to popular observability tools. It gives DevOps teams access to the real-time data they need to plan, adapt, minimize downtime, and support system reliability and compliance.

Resolve COO, Ari Stowe speaks at ONUG AI Networking Summit 2025 #itautomation #agenticai #ai #tech

Our COO Ari Stowe spoke at @onugcommunity's AI Networking Summit on how AI and Zero Ticket IT are transforming enterprise IT. From tickets to autonomous resolution—AI, automation, and intelligent agents are changing the game. Hear why AI is now essential in today’s complex IT environments.

Bringing Intelligence and Automation Together to Change the Shape of Work

The aspirational target state for a cognitive system is to “take responsibility” for a domain (e.g., an autonomous car). To reach that level of sophistication, the system must achieve high levels of maturity simultaneously along two dimensions: Reasoning ability and Automation ability.

Top Automation Use Cases for IT (in End User Computing)

As digital transformation continues to reshape the business landscape, IT teams are under more pressure than ever. Organizations demand faster service, always-on support, and seamless user experiences – all while IT budgets remain stagnant or even shrink. Organizations urgently need solutions that help them keep up without burning out their teams or inflating costs. This is where IT automation becomes essential.

The Business Case for Network Automation: Cost Savings and Efficiency

Let’s get real: the cost of not automating your network operations is probably already showing up on your P&L, and not in the column you like. Manual configuration changes, ad hoc backups, and frantic compliance prep aren’t just operational headaches, they’re quiet killers of budget flexibility and scale readiness. Network automation is no longer a “nice to have” for companies with massive IT budgets or unicorn-level engineering teams.
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SAP system refresh automation

SAP system refresh automation is extremely powerful when leveraged with care; system refreshes are complex and challenging processes to manage. System refreshes can be fraught with risk for organizations with critical data due to their level of complexity. Mitigating this risk comes down to knowing the benefits of automation and how the processes work. This article will help you: To try out Avantra's SAP automation features, sign up for a free trial.

How Puppet is Redefining Infrastructure Management with AI, Powered by Perforce Intelligence

AI has emerged as a defining force in modern technology, spearheading transformation across industries. Yet, despite its promise to revolutionize workflows and unlock unprecedented efficiency, most DevOps organizations face significant hurdles in adopting AI safely and effectively. Concerns about complexity, scalability, and governance hold many decision makers back.