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Suite 500, McLean
VA 22102, USA
2 Dublin Landings, North Wall Quay
Dublin 1, D01 V4A3, Ireland
Lapinlahdenkatu 16
00180 Helsinki, Finland
Frequently Asked Questions About AI Security
Find answers to common questions about protecting AI models, APIs, and data pipelines using FireTail’s AI Security solutions
What is AI Security?
AI security refers to the tools, policies, and technologies that protect artificial intelligence systems from threats such as data leaks, prompt injection, and unauthorized model access. FireTail’s AI Security Platform helps organizations secure AI models, APIs, and data pipelines in real time.
How to secure AI?
To secure AI, organizations should continuously discover all AI integrations, monitor for risks, protect data inputs and outputs, and enforce governance policies. FireTail automates these steps with AI security posture management, real-time threat detection, and compliance monitoring.
How Does Generative AI Handle Privacy and Data Security?
Generative AI systems process large volumes of data, often containing sensitive information. Without safeguards, this data can be exposed through model outputs. FireTail provides tools for monitoring generative AI inputs and outputs, detecting sensitive data exposure, and enforcing data-handling policies.
How Do Companies Test Generative AI for Security Vulnerabilities?
Organizations test generative AI by simulating prompt injection, data extraction, and misuse scenarios. FireTail’s AI Security Testing capabilities identify vulnerabilities in AI models, APIs, and integrations helping teams mitigate security and compliance risks before deployment.