Hypergraph

HypergraphHypergraph
H

Hypergraph

Hypergraph uses graph neural networks to detect deviations from normal network behavior for cybersecurity.

2025ActiveTel Aviv, Israel

About

Hypergraph AI takes a novel approach to cybersecurity by leveraging graph neural networks to identify anomalies and deviations from established normal network behavior. By representing network data as graphs, the company applies advanced AI models to detect sophisticated threats and intrusions that traditional methods might miss, offering enhanced network intrusion detection for enterprises.
Frequently asked

What does Hypergraph do?

Hypergraph AI takes a novel approach to cybersecurity by leveraging graph neural networks to identify anomalies and deviations from established normal network behavior. By representing network data as graphs, the company applies advanced AI models to detect sophisticated threats and intrusions that traditional methods might miss, offering enhanced network intrusion detection for enterprises.

Where is Hypergraph headquartered?

Hypergraph is headquartered in Tel Aviv, Israel.

When was Hypergraph founded?

Hypergraph was founded in 2025.

What industry does Hypergraph operate in?

Hypergraph operates in Cybersecurity, Artificial Intelligence, Threat Detection, Network Security, Graph Neural Networks, Anomaly Detection.

New entrants in Cybersecurity
Last 90 days
122
New entrants
40.7
Per month
9.5
Per week

An entrant is a company tagged Cybersecurity whose domain was first registered in the window, counted from registry records in the StartupHub directory. 13 of them registered in the last 30 days. Registry detection runs two to three weeks behind registration, so recent weeks are a floor.

Scores
Measured, not editorial
Agent Readiness
21/100

How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.

Star ratings come from visitors, one per person per profile, and are shown exactly as given: we do not weight, curate or filter them. Reviews are published in full alongside the rating that accompanied them.

Comments

No comments yet. Be the first to share your take.