Tackling today's challenges of securing AI models and applications.
Model denial of service attacks attempt to disrupt the availability and performance of an AI model by overwhelming it with malicious or excessive inputs.
AI jailbreaking attacks are on the rise. Learn what AI jailbreaking is, how attackers bypass safeguards, the risks involved, and how to protect AI systems.
Agentic AI is evolving, offering autonomy and efficiency but posing new security risks. Learn how to mitigate threats and secure agentic AI systems effectively.
Learn about pentesting and automated redteaming AI models with TrojAI Detect’s expanded capabilities to 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?