Cyberhaven provides data security software that uses data lineage to track how information moves, is transformed, and is used across an organization to prevent data exfiltration and enforce security policies.
Four signals AI engines weigh when deciding which sources to cite.
AI cites Cyberhaven on 27.3% of the questions where Cyberhaven's site shows up.
When cited, Cyberhaven ranks #2.1 on average in AI's source list. Lower number means higher up.
Cyberhaven captures 22.4% of the search traffic across topics it could answer.
Search demand for Cyberhaven's topics is down 11% over the last 3 months.
Top 10 questions where AI cites Cyberhaven as a source, sorted by monthly volume.
"**Social engineering in cybersecurity** is a type of attack where hackers **manipulate people-not computers-to gain access to sensitive information or systems**. [www.techtarget.com](https://www.techtarget.com/searchsecurity/definition/soci…"
"No-**DLP is not a firewall**. They’re different tools that solve different security problems, though they often work together. ### The simple way to think about it: - **DLP (Data Loss Prevention)** = protects **data** - **Firewall** = prot…"
"When people talk about **access levels**, they generally mean the different ways systems control *who* can do *what* with resources (like data, files, apps, or physical spaces). There are a few common categories and examples depending on wh…"
"Social engineering refers to tricks that **manipulate people (not technology)** into giving up information or taking unsafe actions. [www.cisco.com](https://www.cisco.com/site/us/en/learn/topics/security/what-is-social-engineering.html?utm_…"
"Access controls are security measures that determine **who can access resources and what they’re allowed to do** [www.techtarget.com](https://www.techtarget.com/searchsecurity/tip/From-the-gateway-to-the-application-Effective-access-control…"
"**Network security solutions** are the tools, technologies, and practices used to **protect computer networks and the data traveling across them** from unauthorized access, cyberattacks, and misuse. [cyble.com](https://cyble.com/knowledge-h…"
"**ABAC** is most commonly known for **Attribute-Based Access Control**, a cybersecurity and IT concept. ### What it’s known for ABAC is known for being a **flexible, fine-grained way to control access to systems and data**. Instead of just…"
"Here’s a clear explanation of how **DSPM** and **DLP** differ - they’re both about protecting data, but they focus on *different parts* of the data security problem: [www.microsoft.com](https://www.microsoft.com/en-us/security/business/secu…"
"An **audit log** is basically a detailed record of everything that happens in a system-kind of like a history tracker for actions and changes. ### What an audit log shows At its core, an audit log answers four main questions: - **Who** di…"
"The “5 data classifications” usually refer to **levels of data sensitivity** used in information security. While exact names can vary by organization, a very common 5-level model is: ### 1. Public Data - Information anyone can access freel…"
Subcategory peers; see methodology for selection logic.
| Brand | Score | Citation rate | Cited / tracked | Monthly volume |
|---|---|---|---|---|
| BigID | 42 | 42.3% | 11 / 26 | 474 |
| Immuta | 38 | 33.3% | 4 / 12 | 187 |
| Cyberhaven | 32 | 27.3% | 15 / 55 | 894 |
| Nightfall AI | 27 | 17.4% | 4 / 23 | 262 |
Citation-weighted search volume over time.
Yes, Cyberhaven is cited in AI search results for 15 out of 55 tracked queries, which is approximately 27.3%.
Cyberhaven has an overall AI visibility score of 32 out of 100.
AI cites Cyberhaven for various questions, including 'what is social engineering in cybersecurity?', 'is dlp a firewall?', and 'what are some examples of access controls?'
Compared to its competitors, Cyberhaven's visibility score of 32 is lower than BigID's score of 42 and Immuta's score of 38, but higher than Nightfall AI's score of 27.
Visibility score blends four signals: how often AI cites the brand as a source (50%), where it ranks among sources (25%), the search volume of cited questions (20%), and a 3-month vs 3-month trend (5%). Score is on a 0–100 scale.
Read full methodology →Discover your AI visibility gaps and start capturing millions of new product discovery clicks.
