Qpoint

Qpoint is built for monitoring AI agents and controlling their behavior on the systems where they execute. It fits security and IT teams responsible for agent fleets, while individuals and small groups can start without paying. The central advantage is combining attributed activity records with controls that can stop risky actions before they leave an endpoint.

Overview

Qpoint records file activity, tool calls, outbound network requests, and process execution, associating each event with an agent and session. That attribution gives incident reviews and operational investigations useful context instead of a generic stream of machine events. Its policy engine can block attempts to read secrets, reject unapproved endpoints, redact outbound content, and deny tool calls that have not been approved. Those safeguards make Qpoint more appropriate for governing agent use than for teams seeking observation alone.

Deployment uses a single binary running directly on endpoints, with no gateway, sidecar, or SDK integration. Qpoint can also run in containers, virtual machines, clusters, and CI runners, covering hosted workloads as well as employee machines. Events can be exported to existing SIEM and observability systems, with Splunk, Datadog, and Elastic named as integrations.

Key features

• Agent and session attribution: File, tool, network, and process events are tied back to the responsible agent and session, which helps distinguish legitimate automation from an individual problematic run.
• Preventive policy controls: Blocking secret reads and unapproved tool calls addresses high-impact failure modes directly. Endpoint refusal and outbound redaction add control over where data goes and what it contains.
• Endpoint-first deployment: A standalone binary avoids adding a gateway, sidecar, or application SDK. That reduces integration dependencies, while support for containers, VMs, clusters, and CI runners broadens where it can be used.
• Operational exports: SIEM and observability export lets teams feed Qpoint events into established workflows; Splunk, Datadog, and Elastic are specifically supported.
• Hybrid infrastructure coverage: Qpoint includes network visibility, application tracing, and Kubernetes support. The endpoint solution covers macOS, Windows, and Linux, with Jamf and Intune named for rollout.
• Security assurance: Qpoint states that it has achieved SOC 2 Type II compliance, a relevant consideration for organizations assessing controls around agent activity.

Pricing

Qpoint uses a freemium structure. The Community plan costs free and supports up to 25 endpoints. It includes agent discovery and monitoring with attribution, built-in policy plugins and source enforcement, and community support. This is a sensible starting point for an individual or small team that can stay within the endpoint cap, but the cap becomes a hard boundary for a growing fleet.

Team has custom pricing and supports up to 500 endpoints. It adds a shared team workspace, custom policy plugins, SIEM and observability export, usage and cost reports, and email and chat support. IT operations and security teams that need collaborative administration and reporting are the intended audience; moving up is necessary when Community's 25-endpoint limit or built-in policy scope no longer fits.

Enterprise also uses custom pricing and removes the endpoint ceiling with unlimited endpoints. It adds compliance reports, the ability to embed Qpoint in products, SSO and role-based access control, plus 24/7 support with onboarding. Those additions target organizations with formal governance, identity requirements, or a product-embedding use case. Buyers who need a published price before evaluation should account for the custom-quote model on both paid tiers.

Platforms

Qpoint is available across Linux, macOS, Windows, and the web. Linux-based deployments require kernel 5.10 or newer and support x86_64 and arm64. Kubernetes is supported, and the hybrid deployment model accommodates endpoint and hosted environments. Jamf and Intune provide named rollout paths for macOS and Windows fleets.

Who it's for

Community suits individuals and small teams monitoring up to 25 endpoints. Team is the practical fit for IT operations and security groups managing a larger, shared deployment and needing exports, custom policies, and usage reporting. Enterprise is aimed at organizations that require unlimited scale, compliance reporting, SSO, RBAC, onboarding, and 24/7 support. Qpoint is less suitable when agent monitoring is not needed or when a deployment must remain within a free tier above 25 endpoints.

Pros and cons

Pros

• Controls as well as visibility: Qpoint can prevent secret access, unapproved destinations, and unauthorized tools instead of merely recording events.
• Broad execution coverage: The same approach extends from desktops to containers, clusters, virtual machines, and CI runners.
• Low-friction deployment: A single endpoint binary avoids gateway, sidecar, and SDK dependencies.
• Useful free entry point: Community includes attributed discovery, monitoring, and policy features at no cost for up to 25 endpoints.

Cons

• Community is capped at 25 endpoints: Larger deployments must move to a custom-priced tier.
• Paid-tier costs require a quote: Team and Enterprise have no published price, making early budget comparison harder.
• Advanced governance is reserved for Enterprise: SSO, RBAC, compliance reports, unlimited endpoints, and 24/7 onboarding support are not part of Community or Team.

Alternatives

For a broader catalog of kernel and infrastructure observability choices, see the eBPF Observability Tools list. Kubeshark is a freemium option with a free Community tier for up to three nodes or 60 pods and API-focused platform coverage. DeepFlow is a free, open-source-oriented choice covering Linux servers and selected Kubernetes, cloud, and container environments.

Coroot offers a free self-hosted Community Edition under Apache 2.0 alongside a paid Standard plan. Inspektor Gadget is a free open-source toolkit for Linux 5.10+ systems with BTF support. Odigos provides free Apache 2.0 OpenTelemetry tracing with a community-supported Open Source plan.

bpftrace is a free Linux tracing tool for compatible kernels with BPF support. Caretta is a free open-source Kubernetes tool. Grafana k6 is a Linux load-testing option whose free tier is limited to 500 virtual user hours per month.

Verdict

Choose Qpoint when you need attributed AI-agent monitoring paired with enforceable controls across endpoints and hosted workloads, especially if 25 endpoints cover your initial Community deployment. Its single-binary installation, policy enforcement, and SIEM exports give security teams a coherent way to govern agent behavior. Look elsewhere if you need a larger free deployment, a published price for paid tiers, or a tool focused on general infrastructure tracing rather than agent-specific policy control.