| What it does | Open-source AI security verification
| Platform to evaluate, trace, monitor and security test AI agents
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Open source
| Freemium
|
|---|
| Pricing | Not given
| Free plan at $0 forever with 5,000 spans/month, 25 test runs/month, 100 evaluator executions/month, 2 custom evaluators, 5 datasets, 2 prompts, 5 users, 3 projects, 7-day data retention. Pro plan at $39 per month with 200,000 spans/month plus $5 per 100k additional spans, 100 test runs/month, 5,000
|
|---|
| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Observability and tracing of every LLM call, tool invocation and decision point with latency, cost and token usage metrics
- Evaluation to score agent answers before release against traces that broke
- Simulation to test agents with realistic users before launch
- Red teaming to find injection, tool abuse and data leaks before launch
- Prompt management with versioning and deployment controls
- Online evaluation to score real conversations in production
- Agent Insights to spot patterns and detect drift
- Real-time alerts on cost, latency, errors and quality regressions
- Support for 14+ LLM providers and 12+ frameworks
- MCP server for querying and debugging traces from inside IDE
|
|---|
| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Single platform that covers the entire AI agent lifecycle from prompt management through production monitoring, instead of scattered tools
- Built on OpenTelemetry standards for native observability across frameworks you already use
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 13 ▼ −1 (down) since last check |
|---|
| Trust Flow (Majestic) | 2 | 10 |
|---|
| Citation Flow (Majestic) | 21 | 26 |
|---|
| Referring domains (Majestic) | 22 | 32 |
|---|
Guardana
Netra