Vibe coding needs a floor: Why AI agents need guardrails
If AI agents are to work the way you want them to, having guardrails and a proper foundation in place make them more reliable so you can let them act autonomously while you sleep.
How I built an AI agent system to run my side projects
Agentic AI systems can be built for many purposes. This article is about how Fortytwo’s COO Remi Vandemir built an agent system that manages all the side-projects that he doesn’t have time to manage himself.
AI governance sometimes means saying no
Governance requires the ability to stop, restrict or postpone technology that the organization is not yet ready to manage responsibly. That can be an uncomfortable truth if you want your organization to move quickly with AI.
Fortytwo is expanding in the Nordics – Moving into Denmark
As Fortytwo expands into Denmark, we have entered a new strategic partnership with Emilie Lundblad, who will lead the initiative. We spoke with Emilie about what she is seeing in the Danish market when it comes to AI adoption, and where companies are getting stuck.
Insider Risk Just Multiplied
In a world where agentic AI is gaining agency, insider risk is growing at a speed you cannot control.
Fortytwo and Telenor Cyberdefense partnership
Fortytwo and Telenor Cyberdefence are joining forces at a time when many organisations are moving from AI experimentation to real operational use.
5: How Does MCP Work?
This is the final article in a series of five, describing what MCP is, why you need it, and how it helps AI agents talk to your system.
4:What Can AI Do Through MCP?
This is the fourth article in a series of five, describing what MCP is, why you need it, and how it helps AI agents talk to your system.
3: How Does MCP Let AI Act on Your Behalf?
This is the third article in a series of five, describing what MCP is, why you need it, and how it helps AI agents talk to your system.
Why AI agents need MCP to connect safely to business systems
This is the second article in a series of five, describing what MCP is, why you need it, and how it helps AI agents talk to your system.
MCP explained: Why agents need the model context protocol
MCP is a standard way for AI agents to discover and use approved tools in external systems without receiving unrestricted access.
AI, Identity And The Cybersecurity Risk
Attackers still log in. For years, credential theft through phishing has been one of the most persistent and damaging threats to modern organizations, not because it is sophisticated, but because it works.
A Weekend AI Experiment That Actually Stuck
What started as a Friday afternoon experiment turned into something we actually use. I built a multi-agent AI system for Fortytwo — a 40+-person cloud expert firm — over a weekend. Time tracking, revenue reporting, infrastructure monitoring. A real internal PoC on a real business. This is what worked, what didn’t, and what genuinely caught me off guard.
Agentic Identity Governance
You want to let teams build and use agents without creating a parallel identity estate you cannot explain, audit, or shut down. You want autonomy with boundaries, and speed with accountability.