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Logo of Prompt Security

Prompt Security

bySentinelOne
in
4.5
Market Presence: AI Security and Anomaly Detection, AI Usage Control

Overview

Overall experience with Prompt Security

It Security & Risk Management Associate
<50M USD, IT Services
FAVORABLE

“Strong semantic DLP catches nuanced leaks, yet extension reliance poses risks”

5.0
Jun 1, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
IT Security Engineer
500M - 1B USD, Retail
CRITICAL

“Decreased Reliability and Detection Gaps Limit System’s Practical Effectiveness Over Time”

2.0
Apr 30, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 28th February 2024

SentinelOne provides autonomous security solutions for various IT environments. The company's main focus is on endpoint security, cloud security, and identity security. It operates on an AI-powered platform that brings prevention, detection, response, remediation, and forensics under one umbrella. The endpoint security product uses artificial intelligence to constantly adapt to new threats, offering real-time protection and automated response. The key principle of SentinelOne's security approach is to allow organizations to detect harmful behavior across multiple vectors, rapidly eliminate threats with an integrated response, and continuously adapt defenses against advanced cyber attacks. The company also provides a range of services such as threat hunting, incident response, and incident management.

Company Details

Updated 26th February 2025
Company type
Public
Year Founded
2013
Head office location
Mountain View, United States
Number of employees
1001 - 5000
Website
http://www.sentinelone.com

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Peer Discussions

Prompt Security Reviews and Ratings

4.5

(25 Ratings)

Rating Distribution

5 Star
64%
4 Star
28%
3 Star
4%
2 Star
4%
1 Star
0%
Why ratings and reviews count differ?
  • It Security & Risk Management Associate
    <50M USD
    IT Services
    Review Source

    Strong semantic DLP catches nuanced leaks, yet extension reliance poses risks

    5.0
    Jun 1, 2026
    My experience with managing Prompt Security was good in terms of instant visibility and long-term policy refinement. The initial step provides me with immediate satisfaction, pushing the browser out to an endpoint like MDM, such as Microsoft Intune, it takes less than an hour. And in a few days, the dashboard completely changes how you view your network. Then there's Shadow AI, adoption, this shows exactly how many employees are pasting company text into unauthorized translation bots, formatting tools, or public LLMs, it shows every step of an employee. It Detect and Protect by giving the Alert
  • It Security & Risk Management Associate
    <50M USD
    IT Services
    Review Source

    Strong semantic DLP catches nuanced leaks, yet extension reliance poses risks

    5.0
    Jun 1, 2026
    My experience with managing Prompt Security was good in terms of instant visibility and long-term policy refinement. The initial step provides me with immediate satisfaction, pushing the browser out to an endpoint like MDM, such as Microsoft Intune, it takes less than an hour. And in a few days, the dashboard completely changes how you view your network. Then there's Shadow AI, adoption, this shows exactly how many employees are pasting company text into unauthorized translation bots, formatting tools, or public LLMs, it shows every step of an employee. It Detect and Protect by giving the Alert
  • Read All 31 Reviews

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User Sentiment About Prompt Security
Reviewer Insights for: Prompt Security
Performance of Prompt Security Across Market Features

Prompt Security Likes & Dislikes

Like

I like about this product is its Semantic Approach to Data Loss Prevention, traditional DLP tools are incredibly rigid, they look for specific patterns, for example 16 digits of Credit Card No. Or an exact regular expression match, if any of our employees copy chunks of a proprietary source code, rephrase a confidential internal strategy into plain English, or ask public LLM to summarize these raw notes from our private Roadmap meeting, traditional security tools are completely blind to it.

Like

I like about this product is its Semantic Approach to Data Loss Prevention, traditional DLP tools are incredibly rigid, they look for specific patterns, for example 16 digits of Credit Card No. Or an exact regular expression match, if any of our employees copy chunks of a proprietary source code, rephrase a confidential internal strategy into plain English, or ask public LLM to summarize these raw notes from our private Roadmap meeting, traditional security tools are completely blind to it.

Like

I like about this product is its Semantic Approach to Data Loss Prevention, traditional DLP tools are incredibly rigid, they look for specific patterns, for example 16 digits of Credit Card No. Or an exact regular expression match, if any of our employees copy chunks of a proprietary source code, rephrase a confidential internal strategy into plain English, or ask public LLM to summarize these raw notes from our private Roadmap meeting, traditional security tools are completely blind to it.

Dislike

It doesn't work if the user turns on private mode in the browser, and cannot detect anything running locally like electron wrappers that still contact web-based APIs. This leaves gaping holes in their ability to accurately detect all usage on user devices. Detection rules are false positive heavy and very hard to tune. Detections are not context aware, so false negatives are also high. The natural language detection engine shows promise but is impossible to tune. Support is slow to respond and not very helpful. When new updates break previous functionality, their support generally responds with links to documentation that does not help or a general

Dislike

It doesn't work if the user turns on private mode in the browser, and cannot detect anything running locally like electron wrappers that still contact web-based APIs. This leaves gaping holes in their ability to accurately detect all usage on user devices. Detection rules are false positive heavy and very hard to tune. Detections are not context aware, so false negatives are also high. The natural language detection engine shows promise but is impossible to tune. Support is slow to respond and not very helpful. When new updates break previous functionality, their support generally responds with links to documentation that does not help or a general

Dislike

It doesn't work if the user turns on private mode in the browser, and cannot detect anything running locally like electron wrappers that still contact web-based APIs. This leaves gaping holes in their ability to accurately detect all usage on user devices. Detection rules are false positive heavy and very hard to tune. Detections are not context aware, so false negatives are also high. The natural language detection engine shows promise but is impossible to tune. Support is slow to respond and not very helpful. When new updates break previous functionality, their support generally responds with links to documentation that does not help or a general