Stratavor

Introduction

Welcome to our internal AI Safety Testing Program for Stratavor. This invite-only program is designed for our internal team and vetted AI safety researchers to help us identify and mitigate potential risks in our AI models and systems before deployment.

Project Overview

Testing Main Stratavor Pipeline Engine

Department

Responsible Department: Engineering

Scope

In-Scope Systems & Models

[List of AI models, APIs, or systems that you want tested]
[Internal AI applications and tools]
[AI-powered features and components]

Out-of-Scope Systems

[List of AI models, APIs, or systems that you DO NOT want tested]
[Production systems with live user data]
[Non-AI components or standard software vulnerabilities]

Testing Focus Areas

Bias & Fairness Issues: AI models displaying or reinforcing harmful biases
Security Risks: Prompt injection, adversarial attacks, or data poisoning
Hallucination & Misinformation: AI generating misleading or harmful outputs
Privacy Violations: Unintended exposure of sensitive data
Autonomy & Control Issues: AI taking unintended actions beyond designed capabilities
Performance & Reliability: System stability and consistent behavior

Testing Guidelines

Provide clear and detailed feedback on any issues found
Include reproducible steps or proof-of-concept demonstrations
Explain the potential impact and suggest possible mitigations
Follow responsible disclosure practices for any security findings

Confidentiality

This is an internal program. All testing activities, findings, and communications are confidential and should not be shared outside the authorized testing team.

Contact

For any questions or clarifications about this internal testing program, please contact the program administrator.

Thank you for helping us build safer and more reliable AI systems!