The most powerful LLM integrations are programmatic application-level integrations. Check the security of all your organization’s applications that are built to use LLMs in real-time.
FireTail analyzes source code and configuration files to uncover insecure patterns in AI and LLM integrations, such as lack of input sanitization or response validation.
Identify AI-related risks during development so teams can resolve issues early, reducing downstream vulnerabilities and incident response costs.
Automatically scan LLM-related code changes using static analysis tools integrated into CI/CD pipelines for continuous AI risk assessment.
FireTail fits into your existing developer workflows with developer-friendly integrations for GitHub, GitLab, Jira, and other popular development tools.
DevSecOps Lead @ US SaaS platform
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Most AI vulnerabilities are introduced during development, often through poor coding practices, lack of validation, or insecure model handling. Without early detection, these flaws reach production environments, putting sensitive data and systems at risk.
FireTail scans source code and app configurations to detect AI-specific security issues before deployment. It provides developers with actionable insights and remediation steps, ensuring secure LLM integration from the start.
With FireTail, organizations can confidently deliver AI-powered applications that meet security standards from day one, reducing rework, breaches, and compliance risks.
