Blogs

Computer Says “No” Isn’t an Explanation: Turning Legal Duties into Runtime Evidence for AI and Agents
If your AI system denies a loan, flags an intake, or blocks an agentic action, could you produce a clear, human-readable explanation that stands up to a regulator, a judge, and the person impacted—without revealing trade secrets—today?

Guide to Ethical Red Teaming: Prompt Injection Attacks on Multi-Modal LLM Agents
Fundamentals of Prompt Injections Definition and Historical Evolution: Prompt injection is a security vulnerability where malicious input is injected into an AI’s prompt, causing the

TestSavant.AI’s Unified Guardrail Model: A Lightpaper
TestSavant.AI’s Unified Guardrail Model represents a comprehensive, consolidated security solution. By unifying multiple defense layers into a single model

Region-by-Region Playbook for Generative AI Risk Compliance in 2025
Generative AI no longer sits on the fringes of experimentation. It’s deeply woven into underwriting processes, contract reviews, advanced research, and more. Meanwhile

Securing Your AI: Introducing Our Guardrail Models on HuggingFace
Enterprise AI teams are moving fast, often under intense pressure to deliver transformative solutions on tight deadlines. With that pace comes a serious security challenge: prompt injection and jailbreak attacks that can cause large language models (LLMs) to leak sensitive data or produce disallowed content. Senior leaders and CISOs don’t have the luxury of ignoring these threats.

GPT-o1: Why OpenAI’s New Flagship Model Matters for Compliance
What if your model hallucinates? If it confidently fabricates regulatory language or misattributes sensitive information, you’re in a tough spot. Letting such issues fester is a gamble. With each passing day, the chance grows that you’ll face that nightmare scenario