Tackling today's challenges of securing AI models and applications.
Agent-Led AI Red Teaming uses autonomous agents to perform multi-turn attacks, uncover real risks, and map findings to OWASP, MITRE, and NIST frameworks.
Learn about automated red teaming for AI models with TrojAI Detect’s expanded capabilities that safeguard your AI apps from real-world threats.
Enterprises face unique challenges when securing AI. Here are insights from years of securing global enterprises to help you find the right security solution.
TrojAI was built on a foundation of both classic cybersecurity and AI safety, resulting in a unique, resilient, and robust approach to securing AI systems.
Prompt injection is the deliberate manipulation of an input provided to an AI model to alter its behavior and generate harmful or malicious outputs.
TrojAI is proud to be part of the invite-only Microsoft for Startups Pegasus Program.
AI applications are becoming more common across all verticals as large enterprises seek to optimize their internal, external, and partner use cases.
AI security is evolving at breakneck speed. By the end of 2025, the landscape will look vastly different from where we are today.
My first startup built AI/ML models that analyzed live video to detect the presence of violence in public spaces.
The Open Worldwide Application Security Project (OWASP) is a non-profit organization that offers guidance on how to improve software security.
Do built-in LLM guardrails provide enough protection for your enterprise when using GenAI applications?