Workflow Engine
Design your attack methodologies as a visual, drag-and-drop node graph in XHack AI, then let the agent learn each one and run it step by step inside the chat.
Workflow Engine
Every tester has a way of working: the order they do recon, the checks they never skip, the steps that caught real bugs last time. XHack AI lets you turn that into a workflow the agent can run on its own, so you stop re-typing the same playbook into chat on every engagement.
Build It Visually
The Workflow Engine is a drag-and-drop canvas. You lay out each step of your methodology as a node, connect the nodes in the order you want them to run, and describe what each one should do in plain language. There is no code and no config file. If you can sketch your process on a whiteboard, you can build it here.
The Agent Learns It, Then Runs It
Once a workflow is saved, the agent learns it and runs it step by step inside a normal chat. A live page shows exactly where it is in the graph, which step is running, what it found, and what comes next. You are never guessing whether it skipped something; the whole methodology is in front of you as it executes.
Repeatable And Shareable
Because a workflow is a saved object, you run the same tested process every time instead of hoping you remembered every step. Build one for web apps, one for APIs, one for a specific client, and reuse them across engagements. It works the same on the desktop app and in the browser console.
Built For Real Engagements
The Workflow Engine turns the methodology that lives in your head into something the agent carries out consistently, so your best process becomes your default process on every target.
Try it on your own stack
Run this against a target you own and judge it on what it finds, not on a description.
Try XHack AIQuestions about this?
You get a researcher on the call, not a sales engineer reading the same page back to you.
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Capabilities that sit alongside this one.