Covering 26+ risk vectors mapped to the OWASP LLM Top 10, NIST AI RMF, and more.
Code Chat: Manual, Ask, Agent, Custom: Cursor allows users to learn about and chat with their codebase in natural language. In Manual mode, users supply all context manually and must apply recommended code edits or execute recommended commands via a button click. In Ask mode, the LLM explores the codebase itself, but the user must interact before edits are applied or commands are run. In Agent mode, the LLM can edit files, execute commands, and use other tools entirely independently (human-in-the-loop mechanisms can be configured for sensitive actions). Custom modes allow users to designate exactly what tools, capabilities, and custom instructions their chat should have access to.
PromptArmor is trusted across the Fortune 50 and AmLaw 50
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Why is AI risk important?
of enterprises have suffered an AI-related security breach in the last year, including AI-generated phishing and malicious prompt injection.
average cost per incident, with indirect prompt injection and data leakage via LLMs now among the top attack vectors across industries.
Here are some facts about Cursor
Cursor was founded in 2023 by four MIT graduates—Michael Truell, Sualeh Asif, Arvid Lunnemark, and Aman Sanger—who created an AI-powered code editor designed to help developers write, understand, and debug code faster using generative AI.
The company, operating under Anysphere, achieved rapid growth with over 1 million users and secured a $2.6 billion valuation within just 16 months of launch, making it one of the fastest-growing startups in the AI tools space.
Cursor reached $300 million in annual recurring revenue (ARR) within two years by pivoting early from mechanical engineering tools to focus on programming, building its own custom AI models, and redefining how developers interact with code through an AI-native development environment.
Unlock the Full AI Risk Report
A comprehensive view of Cursor's AI risk, covering 26 risk vectors mapped to OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, and more.
FAQ
What are the new AI security risks?
Indirect prompt injection, data exfiltration through connected tools, and sensitive information disclosure are the most common, and they map to the OWASP LLM Top 10 and MITRE ATLAS.
What industries do you specialize in?
PromptArmor works across the Fortune 50 and AmLaw 50, with depth in legal, financial services, healthcare, and technology.
How do I see how a vendor maps to the OWASP for LLM Top 10?
Request the full risk report. Each vendor is scored against every OWASP LLM Top 10 category, plus NIST AI RMF and MITRE ATLAS.
