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  3. Prompt Security
Logo of Prompt Security

Prompt Security

bySentinelOne
in
4.4
Market Presence: AI Security and Anomaly Detection, AI Usage Control

Overview

Overall experience with Prompt Security

Chief Operating Officer (COO)
<50M USD, Services (non-Government)
FAVORABLE

“A fantastic safety net for keeping company secrets out of AI tools”

4.0
Jun 13, 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.

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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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Prompt Security Reviews and Ratings

4.4

(11 Ratings)

Rating Distribution

5 Star
64%
4 Star
27%
3 Star
0%
2 Star
9%
1 Star
0%
Why ratings and reviews count differ?
  • Chief Operating Officer (COO)
    <50M USD
    Services (non-Government)
    Review Source

    A fantastic safety net for keeping company secrets out of AI tools

    4.0
    Jun 13, 2026
    The S1 prompt security runs quietly in the background and gives our team the confidence to use tools without accidentally sharing private company data or violating any strict privacy laws.
  • Chief Operating Officer (COO)
    <50M USD
    Services (non-Government)
    Review Source

    A fantastic safety net for keeping company secrets out of AI tools

    4.0
    Jun 13, 2026
    The S1 prompt security runs quietly in the background and gives our team the confidence to use tools without accidentally sharing private company data or violating any strict privacy laws.
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Reviewer Insights for: Prompt Security

Prompt Security Likes & Dislikes

Like

It works really great where it automatically blocks or hides sensitive data like credit card numbers or internal code before it gets sent to public AI chatbots. Also, our IT team set it up as a simple browser extension across the whole company in just a few minutes using our standard setup tools. It also shows management exactly which random AI tools employees are trying out, helping us catch hidden security risks before they become real problems.

Like

It works really great where it automatically blocks or hides sensitive data like credit card numbers or internal code before it gets sent to public AI chatbots. Also, our IT team set it up as a simple browser extension across the whole company in just a few minutes using our standard setup tools. It also shows management exactly which random AI tools employees are trying out, helping us catch hidden security risks before they become real problems.

Like

It works really great where it automatically blocks or hides sensitive data like credit card numbers or internal code before it gets sent to public AI chatbots. Also, our IT team set it up as a simple browser extension across the whole company in just a few minutes using our standard setup tools. It also shows management exactly which random AI tools employees are trying out, helping us catch hidden security risks before they become real problems.

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