Continuously test your large language models for vulnerabilities using automated testing tools. Identify risks before they impact users or systems.
Automated testing can simulate malicious prompts and attacks, helping you uncover vulnerabilities like prompt injection and data leakage before or after deployment.
FireTail's automated LLM testing tools allow for structured, repeatable tests across models and configurations, ensuring thorough and consistent security checks.
FireTail's automated LLM security testing can be integrated into your development workflows, enabling early detection and remediation without slowing down releases.
Get a head start on AI compliance. Automated testing helps demonstrate proactive risk management and due diligence to regulators, stakeholders, and customers.
AI Security Engineer @ Enterprise SaaS Company
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LLMs are vulnerable to a range of attacks like prompt injections, jailbreaks, hallucinations, and data leaks. Without automated testing, these flaws often go unnoticed until real users encounter them, leading to security incidents and reputational damage.
Automated tools can help simulate attacks against your models, monitor for abnormal responses, and flag vulnerabilities. This enables early detection, proactive mitigation, and improved confidence in model safety.
With FireTail, organizations can confidently deliver AI-powered applications that meet security standards from day one, reducing rework, breaches, and compliance risks.
