No command‑sequence detection in process accounting — add per‑user sequence tracking

Many security teams and compliance officers currently rely on process accounting that records discrete commands per host but lack a way to correlate command order per user to spot stealthy attack chains such as living‑off‑the‑land techniques, lateral movement, or credential misuse. This gap is especially acute for SOCs, MSSPs, and regulated enterprises in finance, healthcare, and critical infrastructure where reducing dwell time and proving compliance are business‑critical. You could build a lightweight OS agent that adds per‑user sequence tracking to process accounting, emitting compact ordered events (user id, timestamps, command hashes) that feed transformer‑based sequence models either centrally or at the edge. Delivered as an agent plus managed inference service or an SIEM/EDR plug‑in, it would surface anomalous multi‑command patterns with far fewer labeled examples and provide contextualized alerts for triage. The timing is favorable: the combined SIEM+EDR market is about $12.0B globally, and rising demand for host‑level telemetry and sequence modeling—reflected in a Market Score of 92/100 and Revenue Potential of 88/100—means customers are actively buying richer behavioral signals despite medium competition. This idea can stand out by detecting ordered, per‑user sequences rather than isolated events and by integrating natively into existing SIEM/EDR workflows, producing higher fidelity alerts for behavior‑based detection. The honest challenges are significant: engineering for scale and cross‑OS coverage, managing high cardinality and storage, preserving user privacy, keeping endpoint overhead low, and tuning models to control false positives, so pilot deployments with large SOCs or MSSPs will be essential to validate signal quality and operational ROI.