Boundaries for your Agents: Introducing Denied
AI is a supersonic tsunami. Since late 2022, everyone in tech has felt strapped into a never-ending rollercoaster, but for us in infosec, the ride has been even more intense. As soon as LLMs moved beyond vacuum-packed chatbots and into the real world, we saw the stakes fundamentally change. Software acquired the autonomy to book flights, approve requests, delete files, and move money. In this new reality, every tool call is an action with real consequences.
The Foundations of a New Stack
Over the past few months, a new set of software primitives has emerged.
Practices like Harness Engineering, Memory Management and Tool Definition have quickly turned into cornerstone components that define what an AI Agent actually is.
But we strongly believe there is a missing pillar in this new foundation: Policies.
Until recently, agents lived in the safe world of proofs of concept, where the need for governance was easy to overlook. But as we move autonomous software into production, defining its boundaries becomes critical. We believe policies must be a core component of an agent's identity, as essential as its memory or its tools, rather than a compliance afterthought filed away in a drawer.
Introducing Denied: The Runtime Authorization Engine for Agents
To truly stay within their boundaries, agentic workflows demand a checkpoint before every action. We need systems that verify permission not through a vague prompt suggestion, but via explicit authorization decisions.
The challenge has shifted from gating resources against external consumers to verifying, at runtime, whether an agent is executing an action that aligns with business intent. To address agentic risk, we need policies capable of inspecting the payload of a tool call, evaluating dynamic context, and triggering obligations, all while remaining easy enough to define and maintain.
From designing policies via natural language to enforcing them through real-time executable logic, Denied enables monitoring production agents and visualizing exactly how they interact with the world. We ensure that the expressive power needed for agentic risk doesn't come at the cost of deployability.
Join the Journey
We are incredibly grateful to our early investors and the first customers who have spent the last few months helping us define this new product category.
Today, we are spinning up a waitlist to begin gradually onboarding our first batch of users.
If your company is testing high-stakes Agents and you’re missing the boundaries needed to scale them into production, we’d love to talk.
And if you’re still figuring out what rules your Agents should follow, we have a launch gift for you: Our Policy Blueprint Generator. Answer a few questions about your setup, and get a first draft of the rules your Agents should follow when acting in real production environments.
We’re ready to start this journey toward a safer, more scalable AI future.
— The Denied Team