AI-Powered Network Test Automation You Can Trust
DaaX combines knowledge graphs, domain ontologies, and verification gates to validate AI-generated network instructions before execution.
AI hallucinations are a real problem in network test automation. LAKEer is the verification layer that fixes it.
The result is a safer path from:
Natural-language intent → verified policy / configuration / test object → network test automation
DaaX helps networking teams turn natural-language intent into verified, execution-ready network actions — reducing risk before changes reach routers, switches, edge devices, or controllers.
Modern network test automation is powerful, but only when the instructions are correct. LLMs can generate policies, test cases, or configuration changes quickly — but they can hallucinate, resulting in invented fields, misidentification of devices, mismatch in policies, or producing invalid execution steps.
DaaX LAKEer adds a verification layer between AI-generated intent and network execution, helping ensure that proposed changes are grounded in your actual topology, policies, constraints, and operational data before they move forward.
Why It Matters
Network teams are under pressure to move faster, automate more, and reduce operational risk. But LLM-generated configurations and test definitions need verification.
DaaX helps validate that network intent is:
- Validates device references against your live topology
- Checks policies against your declared SLA and security posture
- Blocks invalid execution steps before they hit production