Sentinel DV FAQs

Question 1

Can Sentinel DV integrate with any simulator or verification tool?

Accepted Answer

Yes, Sentinel DV is simulator-agnostic. It uses an adapter pattern to ingest tool-specific verification artifact formats, translating them into unified, schema-driven data. This allows it to work with any simulator (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa) without requiring runtime dependencies on EDA tools.

Question 2

How does Sentinel DV ensure data security for AI agents?

Accepted Answer

Sentinel DV is designed with a security-first approach. It offers read-only access, automatic data redaction (for credentials, PII, paths), path sandboxing to restrict access to configured artifact roots, and bounded outputs to prevent information overload or exposure.

Question 3

What are the core benefits of using Sentinel DV for verification teams?

Accepted Answer

Sentinel DV offers several benefits: it streamlines root-cause analysis and triage through deterministic, structured data for AI, enhances security by preventing direct simulator access and redacting sensitive info, improves efficiency with fast indexing and pagination, and provides a unified, schema-driven interface for complex verification data.

Question 4

What is Sentinel DV and its primary purpose?

Accepted Answer

Sentinel DV is an open-source Model Context Protocol (MCP) server that provides large language models and AI agents with safe, structured, read-only access to verification artifacts. Its primary purpose is to enable deterministic triage, root-cause analysis, and verification insights without exposing raw logs or granting control of simulators.

Question 5

What types of verification ecosystems and data does Sentinel DV support?

Accepted Answer

It supports major verification ecosystems including UVM, cocotb, and SystemVerilog (assertions, coverage, native testbenches), as well as waveform summaries. AI agents can access rich data such as test results, UVM topology, failure analysis, assertion intelligence, coverage metrics, and regression analytics.

Sentinel DV

Sentinel DV

Key Features

Use Cases

Key Features

Use Cases