AI-assisted testing that does not have to leave your network.
For a lot of engineering organizations, the blocker on AI-assisted testing is not whether it works. It is that testing means handing source behavior, internal workflows, and company documents to somebody else's cloud. BugLight's AI layer can work with local models, which removes that step.
Two ways to run it
Local models, your infrastructure
- The AI layer runs on hardware you control
- Application data, workflows, and internal documents stay inside your network
- Suited to strict privacy requirements, regulated data, and on-premise rules
Hosted models
- The AI layer runs against a hosted provider
- Simpler to start with when there is no restriction to work around
- Still the same product, the same methods, and the same findings
Both are the same product. The difference is where the AI layer runs, and therefore what has to leave your infrastructure for testing to happen at all.
Who this is actually for
Organizations where a security review, a regulator, or a customer contract decides what may be sent to an external model. In those environments the question is rarely whether AI testing would help. It is whether it can be used at all.
- Finance
- Defense
- Healthcare
- Government
- Telecommunications
- Enterprise software
What we are not claiming
BugLight holds no security certifications and is not presenting itself as a compliance product. Running the AI layer locally removes one specific exposure: application data reaching a third-party model provider. It does not, by itself, satisfy an audit, and we would rather say so here than let you find out later.
If your team has a specific requirement to meet, bring it to the demo and we will tell you plainly whether BugLight meets it today.
Bring us something you have not had time to test.
An API with a specification, or a web application we can reach. We will run BugLight against it and walk you through whatever it finds, including the runs where it finds nothing.