Blog - AI Security Articles from FireTail

May 21, 2025

LLM03: Supply Chain

The OWASP Top 10 List of Risks for LLMs helps developers and security teams determine where the biggest risk factors lay. In this blog series from FireTail, we are exploring each risk one by one, how it manifests, and mitigation strategies. This week, we’re focusing on LLM03: Supply Chain vulnerabilities.

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May 14, 2025

Closing the Loop: Continuous API Security Testing

APIs power all of the connections we take for granted in the modern internet. But as we rely on them more for new technologies like AI, securing them is harder than ever. That’s why continuous API security testing is an essential part of every cybersecurity posture.

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May 14, 2025

Logging AI before it happens

Did you know that some AI chats capture and log your chat before you even submit it? This creates a huge security problem for both individuals and organizations whose employees use LLMs. Luckily, FireTail is working on a solution...

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May 8, 2025

An open letter to FireTail customers about security and data privacy

Our modern “Software as a Service” model is becoming a challenge for cybersecurity teams within large enterprises, as attacks continue to rise in volume and complexity across the cyber realm. Security needs to be a consideration from code to cloud, or any progress we make will be undone just as quickly.

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May 8, 2025

LLM02: Sensitive Information Disclosure

OWASP’s Top 10 for LLM is a good starting point for teams to learn about AI security risks. In this series, we’ll go over each risk and practices to protect against them. Today, we’re tackling LLM02: Sensitive Information Disclosure.

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April 25, 2025

AI Innovation at Risk: FireTail’s 2025 Report Reveals API Security as the Weak Link in Enterprise AI Strategies

FireTail, the leading AI & API security platform, has released its annual report, The State of AI & API Security 2025, revealing a critical blind spot in the way organizations are securing their AI investments. Despite record-breaking AI adoption, the report warns that most enterprises are overlooking the most exposed part of the AI stack: the API layer.

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