Top LLM security tools to protect AI applications
ID: 97977da0-72a5-59dc-8301-3439bf58d81b
STIX ID: report--97977da0-72a5-59dc-8301-3439bf58d81b
Feed Name: Aikido Security's Blog
This post explains the scope of LLM application security, citing real incidents (a Jan 2025 misconfiguration that exposed >170 apps and the PromptPwnd prompt-injection leaks affecting multiple Fortune 500s), research showing widespread hallucinated package names that enable supply-chain attacks, and recommends application-layer controls (IDE SAST, supply-chain/package blocking, developer-environment protection, DSPM, and runtime LLM usage tracking) while comparing vendor offerings.
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