AI security

AI security for applications

Protect the AI applications you build and host from data leakage and misuse.

AI security for applications protects the GenAI apps and assistants your organisation builds and runs. Nexapp controls who can reach those apps, inspects traffic to and from them, and applies data rules, helping stop leakage and abuse.

What it does

Many enterprises now run their own AI applications: a knowledge assistant for staff, a tool that summarises loan files, or a model trained on engineering documents. These apps bring new risks. Users can try to trick a model into revealing data it should not share, an exposed endpoint can be abused, and responses can carry confidential content out. AI security for applications treats each AI app as a sensitive workload. It controls who can reach it, inspects the traffic around it and applies data rules, so the app stays useful without becoming a new leak path.

How it works in Nexapp

01

Private access to AI apps

Staff reach internal AI apps through ZTNA, app by app, after identity and device posture checks. The app is not exposed to the internet.

02

Inspection under one policy

Traffic to and from the app is inspected under the same policy engine as the rest of your web, SaaS and private-app traffic.

03

Data rules on what leaves

DLP patterns for card numbers, credentials, identity data and your own custom formats can check content leaving the app before it reaches the user.

04

Evidence in one place

Access and inspection events land in the same logs, reports and XDR incidents as the rest of the platform, and can be exported to your SIEM over syslog.

Where teams use it

Internal assistant at a bank

Only employees on managed devices that pass posture checks reach the assistant, and responses containing customer identity data are blocked.

Model hosted in your own data centre

A manufacturer runs a model on its own servers for engineering documents, and ZTNA gives plant engineers access without opening the data centre to the wider network.

AI pilots across teams

An insurer's data-science team publishes several AI prototypes. Each is available to a named group only, and every access is logged for audit.

Frequently asked questions

How is this different from AI security for users?

AI security for users governs the public AI tools your people use.

AI security for applications protects the AI apps your organisation builds and hosts. Both run under the same policy engine.

Do our AI apps have to move to Nexapp?

No. The apps stay where they are, in your data centre or cloud.

Nexapp controls access to them and inspects traffic under your policy.

Can we see who used an AI app and when?

Yes. Access and inspection events are logged, appear in reports and can be sent to your SIEM over syslog.

Related capabilities

See AI security for applications on your own sites.

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