Azure AI Speech vs Qpoint
Azure AI Speech
azure.microsoft.com
Qpoint
qpoint.ioSide by side
| Figure | Azure AI Speech | Qpoint |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 3 | 3 |
| Spec score · AI Agent Security Software | 8.6 (#2) | 7.5 (#6) |
| Integrations | Microsoft lists Azure OpenAI, Microsoft Foundry, Azure Content Understanding, Azure Translator, and Azure Language as related products. | Qpoint says events can be exported to existing SIEM and observability stacks; its Monitor page names Splunk, Datadog, and Elastic. |
Plans
Azure AI Speech
- Free (F0)Free
- Pay as You GoPrice not published
- Pay as You GoPriced on request
In their own words
Azure AI Speech
Azure AI Speech has no write-up on Specifiction yet; its figures are above.
Qpoint
Qpoint monitors AI agents and applies policies where they run. It captures file activity, tool calls, outbound network requests and process execution, attributing events to agents and sessions. Policies can block secret reads, reject unapproved endpoints, redact outbound content and deny unapproved tool calls. Qpoint describes its endpoint deployment as a single binary, without gateways, sidecars or SDK integration; it can also run in containers, virtual machines, clusters and CI runners. It supports Linux, macOS, Windows and web, and lists Kubernetes support, network visibility and application tracing. Events can be exported to SIEM and observability systems, with Splunk, Datadog and Elastic named. The free Community plan covers up to 25 endpoints; Team covers up to 500, and Enterprise has unlimited endpoints. Enterprise includes SSO and role-based access control. Qpoint states that it has achieved SOC 2 Type II compliance.