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Add guide for fraud detection

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@Josipmrden Josipmrden self-assigned this Aug 19, 2025
@Josipmrden Josipmrden added priority: medium (missing info) An additional information can be helpful or interesting, but the absence is not disruptive Docs Ready - Pending Dev Merge Documentation reviewed and ready; awaiting corresponding dev merge. labels Aug 19, 2025
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- **GNNs and ML on graph topology**: Leverage graph-native topology for **GNNs** (e.g., node classification, link prediction) and combine **embeddings** with graph algorithms to improve fraud detection accuracy over tabular‑only baselines.


## What is covered?
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This section doesn't correspond to the content of the page, resolve content and links

Comment on lines +79 to +98
- **Role-based and label-based access control (RBAC/LBAC)**
Ensure least-privilege access across analysts, SOC teams, and external partners. See
[Role-based access control](/database-management/authentication-and-authorization/role-based-access-control).

- **Replication and high availability**
Keep scoring and investigations online with leader–replica setups and automatic failover. See
[High availability](/clustering/high-availability) and [Replication](/clustering/replication).

- **Multi-tenancy**
Isolate per product, region, or use case. See [Multi-tenancy](/database-management/multi-tenancy).

- **Single sign-on (SSO) for Memgraph Lab**
Streamline secure access for your fraud investigators and stakeholders. See [Single sign-on](/memgraph-lab/features/single-sign-on).

- **Audit logs**
Track access and changes for compliance and investigations. See [Audit log](/database-management/enabling-memgraph-enterprise#audit-log).

- **Query sharing for collaboration**
Enable investigators to share queries and findings seamlessly. See [Sharing features](/database-management/enabling-memgraph-enterprise#sharing-features).

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- **Role-based and label-based access control (RBAC/LBAC)**
Ensure least-privilege access across analysts, SOC teams, and external partners. See
[Role-based access control](/database-management/authentication-and-authorization/role-based-access-control).
- **Replication and high availability**
Keep scoring and investigations online with leader–replica setups and automatic failover. See
[High availability](/clustering/high-availability) and [Replication](/clustering/replication).
- **Multi-tenancy**
Isolate per product, region, or use case. See [Multi-tenancy](/database-management/multi-tenancy).
- **Single sign-on (SSO) for Memgraph Lab**
Streamline secure access for your fraud investigators and stakeholders. See [Single sign-on](/memgraph-lab/features/single-sign-on).
- **Audit logs**
Track access and changes for compliance and investigations. See [Audit log](/database-management/enabling-memgraph-enterprise#audit-log).
- **Query sharing for collaboration**
Enable investigators to share queries and findings seamlessly. See [Sharing features](/database-management/enabling-memgraph-enterprise#sharing-features).
- [Role-based and label-based access control (RBAC/LBAC)](/database-management/authentication-and-authorization/role-based-access-control)
Ensure least-privilege access across analysts, SOC teams, and external partners.
- [Replication](/clustering/replication) and [high availability](/clustering/high-availability)
Keep scoring and investigations online with leader–replica setups and automatic failover.
- [Multi-tenancy](/database-management/multi-tenancy)
Isolate per product, region, or use case.
- [Single sign-on (SSO) for Memgraph Lab](/memgraph-lab/features/single-sign-on)
Streamline secure access for your fraud investigators and stakeholders.
- [Audit logs](/database-management/enabling-memgraph-enterprise#audit-log)
Track access and changes for compliance and investigations.
- [Query sharing](/database-management/enabling-memgraph-enterprise#sharing-features) for collaboration
Enable investigators to share queries and findings seamlessly.

Comment on lines +101 to +103
There are three complementary ways to build fraud detection on Memgraph:

### 1) Basic pattern matching in Cypher
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There are three complementary ways to build fraud detection on Memgraph:
### 1) Basic pattern matching in Cypher
There are three complementary ways to build fraud detection on Memgraph:
1. [Basic pattern matching in Cypher](#basic-pattern-matching-in-cypher)
2. [Graph algorithms (MAGE library)](#graph-algorithms-mage)
3. [Machine learning on graphs](#machine-learning-on-graphs)
### Basic pattern matching in Cypher

RETURN d, accounts;
```

### 2) Graph algorithms (MAGE)
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### 2) Graph algorithms (MAGE)
### Graph algorithms (MAGE)


Browse more in [Available algorithms](/advanced-algorithms/available-algorithms). Many also have online/dynamic variants (e.g., [pagerank_online](/advanced-algorithms/available-algorithms/pagerank_online), [katz_centrality_online](/advanced-algorithms/available-algorithms/katz_centrality_online)) for high‑velocity data.

### 3) Machine learning on graphs
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Suggested change
### 3) Machine learning on graphs
### Machine learning on graphs

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