SaaS Metrics
Hey HN,Most enterprises are "shadow-prompting"—employees use personal accounts on Gemini/ChatGPT/Claude, and security teams have zero visibility. We saw the recent reports on malicious extensions harvesting these prompts and decided to build a "defensive" version.It’s a lightweight Chromium extension for Privent. No heavy proxies or network changes. It categorizes outgoing data and scores risk locally.We’re keeping it 100% free because we want to see the actual scale of data leakage across different industries. We're looking for 10 teams to run a pilot this week and get a 24-hour visibility report.Demo: https://cal.com/asilozyildirim/30min
Trust: https://trust.privent.ai/
Show HN: See what your employees are prompting LLMs (without network proxies)
A 'defensive' solution for enterprises to gain visibility into 'shadow-prompting' and prevent data leakage, without requiring network proxies.
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AI Executive Synthesis
A 'defensive' solution for enterprises to gain visibility into 'shadow-prompting' and prevent data leakage, without requiring network proxies.
Privent addresses a critical and rapidly escalating enterprise security concern: uncontrolled employee interaction with public LLMs. 'Shadow-prompting' represents a significant data leakage vector, exposing sensitive company information. By offering a lightweight Chromium extension that categorizes and scores risk locally, Privent bypasses the complexities and overhead of network proxies. This approach lowers adoption barriers for security teams seeking immediate visibility. The free offering for pilot teams indicates a strategy to gather market data on the scale of this problem across industries. This product directly responds to the urgent need for governance and control over AI tool usage within organizations, a market segment poised for substantial growth as AI adoption proliferates.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is See what your employees are prompting LLMs (without network proxies)?
See what your employees are prompting LLMs (without network proxies) is analyzed by our AI as: A 'defensive' solution for enterprises to gain visibility into 'shadow-prompting' and prevent data leakage, without requiring network proxies.. It focuses on Privent addresses a critical and rapidly escalating enterprise security concern: uncontrolled employee interaction with public LLMs. 'Shadow-prompt...
Where did See what your employees are prompting LLMs (without network proxies) originate?
Data for See what your employees are prompting LLMs (without network proxies) was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was See what your employees are prompting LLMs (without network proxies) publicly launched?
The initial public indexing or launch date for See what your employees are prompting LLMs (without network proxies) within our tracked developer communities was recorded on April 10, 2026.
How popular is See what your employees are prompting LLMs (without network proxies)?
See what your employees are prompting LLMs (without network proxies) has achieved measurable traction, logging over 2 traction score and facilitating 0 recorded discussions or engagements.
Which technical categories define See what your employees are prompting LLMs (without network proxies)?
Based on metadata extraction, See what your employees are prompting LLMs (without network proxies) is categorized under topics such as: shadow-prompting, Gemini/ChatGPT/Claude, security teams, malicious extensions.
Are there open-source alternatives related to See what your employees are prompting LLMs (without network proxies)?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named mnfst/awesome-free-llm-apis shares highly similar architectural descriptions and topics.
How does the creator describe See what your employees are prompting LLMs (without network proxies)?
The original author or development team describes the product as follows: "Hey HN,Most enterprises are "shadow-prompting"—employees use personal accounts on Gemini/ChatGPT/Claude, and security teams have zero visibility. We saw the recent reports on malicious extensions h..."
Community Voice & Feedback
No active discussions extracted yet.
Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.