AI Agent Security Vendors: A Route-by-Route Selection Matrix

Straiker and Singulr both publish agent-security capabilities that extend beyond a conventional model gateway. Their pages describe discovery, red teaming, runtime controls and agent actions across several deployment surfaces, so a buyer needs a route-by-route selection matrix rather than a logo list. I want to build that matrix around five questions: identity, delegated authority, per-step policy, containment and action lineage.

TL;DR

• Start with the routes the agent actually uses, including model calls, HTTP tools, local commands, native SaaS, endpoints and MCP.
• Straiker publishes discovery, continuous red teaming, runtime inspection, blocking and kill-switch surfaces.
• Singulr publishes execution-time permission boundaries, sensitive-data controls, policy enforcement and topology or lineage capabilities.
• DeepInspect applies only to authenticated model or HTTP tool traffic deliberately routed through its policy point.

The shortlist starts with route coverage

The Straiker platform separates discovery, continuous agent red teaming, runtime detection and blocking, with a kill-switch surface. Its Defend AI product describes inspection of prompts, reasoning steps and tool calls, plus API, SDK, webhook and sensor deployment. Singulr's Runtime Control page describes execution-time policy enforcement, agent permission boundaries, PII and PHI controls, with topology and lineage claims.

These first-party claims establish what each vendor says the product does, not performance in a buyer's environment. Require a controlled test. Use every route that matters.

A sheet of boxes and arrows is the right starting artifact. Put the agent in the center, then draw separate arrows to the model API, an HTTP tool, a local command, native SaaS, an endpoint sensor and an MCP path, and write the transport over each arrow. This prevents a product that sees one arrow from being credited with all six.

The broader AI security tools list owns category selection. This page focuses on vendors that publish agent-specific runtime or control claims and the route evidence a buyer should demand.

Identity and delegated authority

Agent identity should answer which agent initiated a step and on whose behalf it acted. A product that sees a process or service credential may still have useful telemetry, but its record identifies that technical principal. Broader attribution requires identity context to survive the application's handoff.

Delegated authority adds the permitted scope. The test case should give one agent access to a narrow tool action, then attempt an action outside that scope. Record the identity presented to the control, the permission boundary applied and the resulting evidence, then repeat the test after changing the delegated scope. A detection label cannot substitute for the authorization decision.

Singulr's published runtime-control wording is relevant here because it describes agent permission boundaries and execution-time policy. Straiker's pages support runtime inspection and blocking claims across prompts, reasoning steps and tool calls. Buyers should ask both vendors where identity originates, which routes preserve it and how a delegated limit appears in the resulting record.

I would reject any pilot that uses an administrator identity for every case. That setup makes the demo smoother. It also destroys the one distinction the test needs to expose. Use at least two test identities with visibly different scopes.

The AI security vendor evaluation criteria provides the surrounding procurement questions, including control placement and audit evidence.

Per-step policy and runtime inspection

An agent can make several decisions between the initial user request and the final response. The control question is which of those steps the product can actually inspect and act on. Straiker says Defend AI inspects prompts, reasoning steps and tool calls. Its deployment options include API, SDK, webhook and sensor patterns, and each option creates a different trust boundary.

An API path can act on calls that traverse it. An SDK runs inside the application and depends on that integration. A webhook receives an event according to the emitting system's behavior. A sensor sees what its placement exposes. Buyers should have the vendor mark each deployment point on the route diagram and state the action available there, such as observe, alert, block or terminate.

Singulr describes execution-time policy enforcement with permission and sensitive-data controls. Test that claim using one permitted step and one denied step under the same agent identity. Preserve the exact route and policy condition. Then disconnect the control dependency in a safe staging test. Observe the failure posture. A control that silently permits execution during an outage creates a different risk than one that stops the step.

Per-step policy also needs a version reference so an investigator can identify which policy governed the action. Ask the vendor to retrieve the record without relying on the demo operator's memory.

Containment and kill switches

Straiker's platform page includes a kill-switch surface alongside runtime detection and blocking. A buyer should turn that published capability into a staged containment test. Start an authorized agent run in a non-production environment, invoke the kill condition and record which subsequent actions stop, checking the model route, HTTP tool route and any local or SaaS path separately.

The test must distinguish agent-level termination from request-level blocking. Another agent may retry a denied model request through a different route. Kill-switch evidence therefore needs to show the scope of stopped execution and any paths that remain active.

Local commands and native SaaS actions may sit outside the same enforcement point. Endpoint or platform sensors can cover those surfaces. An authenticated HTTP gateway sees only deliberately routed calls, so containment belongs in the matrix as several route results.

Define the recovery procedure before the containment test begins. Record who can restore the agent, what approval is required and which evidence survives termination. A kill switch with no controlled restart procedure can turn a security event into an operations incident.

Action lineage and investigation evidence

Singulr's runtime-control page supports topology and lineage claims. For a buyer, action lineage should reconstruct the relevant sequence: initiating identity, agent, delegated scope, policy decision, target and outcome. The evidence needs enough stable references to connect steps without pretending every internal thought is an independently verified event.

Use a short staged chain during the pilot acceptance test. Have a scoped test user initiate an agent, call one approved HTTP tool and attempt one forbidden action. Print the resulting event references on a single page. The reviewer should be able to trace the approved step and the denied attempt to the same run while seeing the different policy outcomes.

Straiker's stated inspection of reasoning steps and tool calls can be tested against that chain. Ask which data is captured, how it is retained and which deployment point produced each record, then do the same for Singulr's topology and lineage output. The goal is buyer evidence, not a contest over who draws the more attractive graph.

Lineage assembled from several sensors should disclose its joins and gaps. A missing local action remains missing even when the preceding model request has a rich record.

A route-by-route buyer matrix

Use one bullet per route because the site renderer has no table component.

• Authenticated model API: test identity propagation, prompt and response inspection, policy outcome, failure posture and the retained event reference.
• HTTP tool call: verify argument inspection, delegated permission, allow or deny behavior, and linkage to the initiating agent run.
• Local command: require endpoint or local sensor evidence; a remote model gateway cannot observe execution that stays on the host.
• Native SaaS action: identify the SaaS control or integration that sees the action and avoid crediting a separate model route with that coverage.
• MCP path: record the transport. Remote HTTP and local STDIO create different inspection points and evidence sources.
• Containment: test the scope of blocking or termination, then verify the approved recovery process and surviving records.

Score a vendor only after the pilot produces the named evidence on the production-like route. Keep untested cells marked unverified. Blank space is more useful than a marketing assumption.

DeepInspect

DeepInspect fits the matrix where an authenticated model call or HTTP tool request is deliberately routed through its policy point. It can evaluate that routed traffic against identity and policy, then produce a per-decision record for the observed request.

Local commands, native SaaS actions, endpoints, MCP STDIO and agent activity that bypasses the gateway remain outside this boundary. Straiker and Singulr publish surfaces that extend into some of those areas. A buyer can use those controls beside DeepInspect, provided the route map assigns each arrow to the component that actually observes it.

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