LLM Quality Control with Fairly AI Red-Teaming-in-a-BoxTM
It's time to standardize and scale your ad-hoc red teaming testing so your AI projects can get QA and Compliance approval from pilots to production in days not months.
It's time to standardize and scale your ad-hoc red teaming testing so your AI projects can get QA and Compliance approval from pilots to production in days not months.
While you are evaluating generative AI and LLM use cases, having a solution in place for testing, quality control and compliance requirements management is proper risk management for any AI projects. Our Simple Start package is just that - tailored for teams that are just beginning on their AI journey so it is a no-brainer to have proper testing processes in place for cross-team collaboration from day one. You can get a free trial on Azure Marketplace today!
Customers operate in highly regulated industries have strict access control requirements. By providing you with the ability to manage the Fairly platform via Microsoft Azure's Customer Managed App directly, your team can remain in control of the deployed infrastructure and reduce the deployment time from days to minutes. More info here: Azure Application deployment modes
Fairly's automated Policy Advisor Engine recommends out-of-the-box policies and controls or you can configure custom policies for your specific needs in minutes without IT overheads.
Out-of-the-box policies include:
ISO Standards
NIST AI Risk Management Framework
NIST Cybersecurity Framework
Fair Lending Assessments
NYC Local Law 144 AEDT Assessments
And many more...
Set up your AI governance process with an AI inventory system mapped to pre-defined and custom policies.
Your team can test and monitor out-of-the-box and custom controls in a repeatable, scalable process for continuous compliance with a privacy preserving option built-in.
Your team can generate reports to document, maintain, and track all controls for continuous visibility anytime for any audience without the need to go through IT.