Trace3

By Lars Hegenberg | Senior Innovation Researcher The Agentic AI space keeps moving at a blistering pace. Organizations are pushing the development and usage of agents across the enterprise, sometimes even with questionable incentives like rewarding “tokenmaxxing”. In response, a wave of emerging solutions, frontier model providers, and hyperscalers have all lowered the barrier to building agents in the enterprise. Yet, most organizations still sit in what our team refers to as “AI pilot purgatory”.

By Justin “Hutch” Hutchens | Trace3  Innovation Principal For thirty years, building software usually meant building a browser interface. Login screens, dashboards, CRMs, ad managers, admin panels, and web portals all assumed the same user: a person with a mouse and a session cookie. AI agents have exposed the limits of that design. Modern models can read pages, interpret interfaces, and choose what to click.

By Amy Buckner | Trace3 Innovation Researcher Adopt first, ask questions later. That’s the tactic most enterprises take today when it comes to AI spending and adoption. The headlines prove it. Uber burned through a year’s budget in mere months, AT&T pushed eight billion tokens in a single day, and Microsoft removed Claude Code from 5,000 of its engineers once token costs skyrocketed. The FinOps Foundation's 2026 report found 73% of enterprises exceeded their AI budget projections this year.

By the Trace3 Innovation Team If you’ve attended Black Hat long enough, you develop a feel for the conference. The gravitational pull of the biggest booths. The familiar parade of established cybersecurity vendors. And, tucked away in Startup City, the founders pitching ideas that may become tomorrow’s industry standards. This year felt different. Walking the business hall at Black Hat USA 2026, the Trace3 Innovation Team noticed the line between startups and incumbents had begun to disappear.

By Sohil Ramdas | Trace3  Innovation Principal The objective of a Governance, Risk, and Compliance (GRC) program within the enterprise has a significant end goal. Ensure the systems, networks, and data deployed throughout the organization are implemented and aligned according to internal policies and external standards. This simple concept aims to mitigate risk and provide assurance the controls designed to protect the technology environment truly operate as intended.

By Ben MacGillivray | Cloud FinOps Consultant Gartner projects worldwide AI spending will reach $2.59 trillion in 2026, a 47% year over year increase. At this year’s FinOps X conference, the numbers confirmed what Trace3’s team heard directly from clients: 98% of FinOps practices now manage AI costs, up from just 31% two years ago. The discipline has changed fast.

By Troy Cogburn | Innovation Principal Every era of technology promises the benefit first. Visibility always comes later, usually after something breaks and no one can say why. You cannot manage what you cannot monitor, and monitoring has had to evolve with each paradigm shift. Mainframes brought the need for resource measurement of CPU, memory, and job throughput. The client-server era brought the need for network management to understand whether networks were up or down.

By Trace3 Cloud & AI Applications Transformation - Digital Consulting Ask Microsoft how your organization should build an AI agent in 2026, and you’ll get three good answers. You can extend Microsoft 365 Copilot with agents that work inside Teams, Outlook, and the documents your employees already live in. You can build agents in Copilot Studio that connect business knowledge to real actions without a development team.

In this episode of The Founder Formula, co-hosts Sandy Salty and Todd Gallina sit down with Yoav Landman, Co-Founder of JFrog, to explore how an open source project born out of a real developer pain point evolved into a publicly traded company serving organizations around the world.

By Milo Sanchez| Trace3  Senior Practice Director Quantum computing is rapidly moving from theoretical research into a practical enterprise concern. While many organizations still view Post-Quantum Cryptography (PQC) as a future initiative, security and infrastructure leaders are beginning to recognize the risk timeline has already started. The concern is no longer simply “when quantum arrives,” but whether organizations are preparing early enough to avoid long-term exposure.