The product comes first. The services layer exists for teams that need faster first-pass coverage, stronger validation discipline, or a cleaner path from threat research to reviewable detection outputs when the situation is still developing.
This is not generic advisory packaging. It is a focused operating layer around the workflows the platform already supports, for customers who need acceleration, structure, and credible delivery posture around generated detection work.
When a vulnerability drops and the team only has a short advisory, blog post, or exploit write-up, the workflow turns that source into synthetic telemetry plus candidate detection content so analysts can start earlier.
Not every engagement needs a production query immediately. It can stop at telemetry generation so teams get realistic replay material, engineering inputs, and something concrete to validate against.
If the customer or internal team already has telemetry, the workflow can start from logs and generate detection logic grounded in what was actually observed instead of rebuilding the scenario from scratch.
Bring an existing detection query, validate it against generated or observed telemetry, and use the output to decide whether the detection is ready for promotion into the SIEM or curated detection library.
The service layer should read like a serious operating model, not a generic consulting list. These blocks now frame the audience, the commercial story, and the operational outcome more clearly.
Built for teams that need an early first-pass detection posture before the threat picture is fully settled.
Designed for service organizations that need stronger delivery quality than manual one-off reverse engineering alone.
Structured for rollouts where generated outputs still need review paths, deployment flexibility, and governance controls.
The strongest fit is when the platform is already the engine, and services help your team apply it in a more disciplined, reviewable, and operational way.
