Using the latest advancements in AI to build a product that solves the security review problem in its entirety.
Real cybersecurity work isn’t done by filling out a customer questionnaire, yet this manual task has become a top priority for many infosec teams because sales deals are on the line.
Here at Conveyor, we’re building an AI-first solution to take the tedious work off your plate – not because it’s a fad, but because it’s an incredible tool for understanding and representing context.
Advances in technology combined with thoughtful software can create an experience equivalent to the best infosec analyst. One that can accurately answer any question, for any customer, at any level of fidelity – so the humans on your team can spend their time on more important strategic work.
For an AI solution to provide significant value and fully automate these processes, each link in the chain (Knowledge Graph, the AI, and the Workflows) has to be optimized and thoughtfully designed.
We believe in investing in the deepest and broadest knowledge graph trained on security context from any input source (documents, Q&As, external webpages and wikis) that requires limited maintenance.
We're constantly tracking the latest in AI model advancements, integrating, and improving upon our model so you get consistent accuracy and reliability.
We take it one step further by meticulously measuring ConveyorAI's precision, accuracy, and coverage to ensure the absolute fastest and best experience for customers.
A workflow that doesn’t evolve alongside our industry just creates more manual work. The software must handle any use case and give you the output you need in seconds.
What that means is not only giving you instant, accurate answers to questionnaires, it means being able to click one button and export it in a customer ready format.
We believe that the fewer clicks to get answers back to the customer, the better.
Eventually, your customers can get an instant, frictionless, one-click experience to verify your security posture on their own.