FireTail AI Security Testing is a platform for evaluating large language models (LLMs) and AI systems for security vulnerabilities through automated testing. The platform simulates adversarial inputs and malicious prompts to identify model-specific weaknesses such as prompt injection, jailbreaks, hallucinations, and sensitive data leaks. Tests are structured and repeatable, allowing consistent security checks across different models and configurations. Key capabilities include: - Automated test suites that run continuously against LLMs to provide ongoing visibility into AI security posture - Detection of prompt injection attacks, jailbreaks, hallucinations, and data leakage - Automated remediation workflows that generate actionable remediation steps when vulnerabilities are identified - Ability to automatically block unsafe prompts or rollback model updates upon detection of a successful attack - CI/CD pipeline integration to enable security testing during development without slowing releases - Centralized log monitoring with threat-detection rules and automated response triggers The platform is aimed at organizations deploying AI-powered applications such as copilots and chatbots, and is intended to support compliance demonstration and proactive risk management. A 14-day free trial is available.