Cedar Row Systems

Security operations technology.
Built, tested, and put under load.

We build and evaluate tooling for security operations teams: detection and automation stacks, the integrations holding them together, and the AI assisted workflows now landing in the middle of both. Our job is to find out what holds up before an analyst has to trust it at three in the morning.

Get in touch See the work

Tooling evaluation Adversarial QA Integration test rigs Applied research

About

A testing and evaluation practice for security operations.

Cedar Row Systems does the unglamorous half of security operations engineering: standing tooling up under realistic conditions, driving it hard, and writing down precisely where it bends. Building and testing are the same discipline here, so we do both.

In practice that means running detection and automation platforms against event volume that looks like the real thing, wiring integrations end to end instead of trusting the documentation, and pushing AI assisted workflows until they either hold their guardrails or do not. What we report is what we observed. When something fails, that is the finding, and it goes into the record like any other result.

We are a small and deliberately focused group. We do not sell reassurance, and we do not publish numbers we cannot stand behind. The work is engineering: build the rig, run the case, read the result.

What we do

Four lines of work.

01

Tooling evaluation

Hands on evaluation of security operations tooling: orchestration and automation platforms, detection stacks, case management, and the glue stitched between them. We deploy the product, configure it the way a working team would, and then run it under conditions that resemble a shift rather than a sales demo. We are looking for the seams. Where enrichment quietly fails, where a playbook stalls on a field it did not expect, where the interface stops telling an analyst the truth about state.

02

Adversarial and resilience QA

Structured adversarial testing of AI assisted security workflows. We probe for prompt injection through the content an assistant is asked to read, test whether guardrails hold when an instruction is hostile rather than merely unusual, and confirm that a system refuses the actions it is supposed to refuse. Resilience counts as much as capability: an assistant that does the right thing nine times and something reckless on the tenth has not passed.

03

Integration test rigs

We build the harnesses that make honest integration testing possible. Synthetic alert and event feeds, webhook pipelines that exercise ingest the way a noisy source would, and staging environments that carry an integration from first authentication through to a closed case. Test data stays synthetic and test environments stay separate from anything live. The point is to exercise the whole path, not the happy one.

04

Applied research and internal tooling

Evaluation stays useful only if the method keeps up with the field. We do applied research on how security operations work is changing, and we build the internal tooling our own testing depends on: scenario generators, scoring harnesses, environment automation, and the instrumentation that turns a long test run into a result somebody can actually read. What we learn goes straight back into the next round of tests.

Approach

How we work.

  • Evidence over claims A capability counts once we have watched it work in a rig we built. Until then it is a claim, and we label it as one.
  • Realistic conditions Volume, mess, and failure states are part of the test. Tooling that performs only on clean input has not been tested.
  • Plain results Findings are written so an engineer can act on them: what we ran, what happened, and what it means for the people on shift.

Contact

Tell us what you are testing.

Email is the fastest way to reach us. Describe the stack, the workflow, or the question you are trying to settle, and a person will read it and reply.

support@cedarrowsystems.com