Plugins

SolasAI

Model fairness testing, model explainability and mitigation.

About the SolasAI integration

The SolasAI Model Fairness Testing integration provides regulator- and court-accepted testing metrics and reports to detect and quantify disparities in your models.

The SolasAI Model Explainability and Mitigation policy package provides advanced techniques to understand the drivers of model disparity and quality, then safely adjust models to reduce disparities with minimal impact on quality.

What you can do

  • Run fairness testing as part of Asenion assessments for credit, insurance and employment models.
  • Use the results as evidence for fair lending and anti-discrimination controls.

Learn more at solas.ai.

How it fits together

One set of controls across your whole AI stack

Whatever platforms, models and clouds you use, the Asenion AI Control System applies the same controls to every AI system and agent.

01 · ControlGen
Translates regulations, standards and your policies into control objectives and controls.
02 · Assess
Applies the controls across the AI lifecycle and shows which are met and where the gaps are.
03 · Red-Teaming
Tests AI systems and agents against the controls before deployment.
04 · Witness
Applies and evidences the controls at runtime, with tamper-resistant records.
Get started

See this integration on your own AI systems

In 30 minutes we'll map the rules that apply to your AI, show the controls, and walk through how this integration fits your stack.