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Prompt Security Launches Static Analysis Security Testing for AI-Generated Code

Prompt Security Launches Static Analysis Security Testing for AI-Generated Code

Prompt Security, a leader in generative AI (GenAI) security, today announced the beta launch of Vulnerable Code Scanner, an advanced security feature that catches potential risks in AI-generated source code before they can pose a threat to enterprises. By automatically scanning AI-generated code, Vulnerable Code Scanner helps ensure that developers donโ€™t use hazardous code suggestions coming from GenAI applications.

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Over the course of Q1 this year, Prompt Securityย releasedย new and enhanced capabilities designed to prevent the exfiltration of organizationsโ€™ secrets, PII and IP โ€“ a major risk associated with unrestricted developer access to AI code assistants. Now, by scanning AI-generated responses to block malicious code before it makes its way to developers, Vulnerable Code Scanner complements these earlier solution enhancements, offering organizations a full spectrum of protection between developers, LLMs and codebases.

Vulnerable Code Scanner detects risks in AI-generated code suggestions and provides actionable mitigations to help developers understand and fix issues. It notifies security administrators when developers send code to AI code assistants and when they receive vulnerable AI-generated responses. This gives administrators a complete audit trail of exchanges between developers and GenAI applications.

โ€œGiven the extent to which developers are increasingly copying code from AI tools, being able to scan AI-generated code outputs is especially important,โ€ said Itamar Golan, CEO and co-founder of Prompt Security. โ€œAlongside our capabilities for preventing data leakage from the developersโ€™ end, Vulnerable Code Scanner is the puzzle piece that makes our coding protection more comprehensive.โ€

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Vulnerable Code Scanner already supports ChatGPT, Microsoft Copilot, Gemini, Claude, Perplexity, Mistral, Grok and DeepSeek. Prompt Security plans a gradual roll out for GitHub Copilot, Tabnine and the other AI code assistants it supports. The solution works for almost 30 programming languages.

As part of its commitment to delivering the most comprehensive AI security solution, Prompt Security is also announcing today its support for Cursor, the popular AI code assistant. From this point forward, Cursor will come under the umbrella of automatic redaction of sensitive information and all other Prompt Securityย capabilitiesย for AI code assistants.

[To share your insights with us, please write toย psen@itechseries.comย ]

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