Most AI for the SOC stops at closing the ticket. Simbian closes the loop. After every case, the platform traces the alert to its root cause — broken detection rules, drifting pipelines, failing integrations — and repairs what created the noise. The longer it runs in your environment, the more it knows. This brief lays out the operating loop, the self-repair primitives, and the deployment options behind Self-Improving SecOps.

Inside the Brief:

• Closes the Loop, Not Just the Ticket: Investigate → respond → fix the root cause → get better. Every verdict, override, and correction feeds the next case, so the gains compound instead of resetting.
• Repairs What Quietly Degrades Every SOC: Tunes noisy or missing detection rules in your SIEM's own query language (with review and rollback), restores log pipelines before drift becomes a missed detection, and re-learns broken connector schemas without an engineering ticket.
• One MITRE ATT&CK Coverage Map, Always Filling In: Investigation, threat hunting, and detection report into a single coverage view — and the platform treats every thin tactic as the next thing to fix.
• Aligned to Your Risk Posture, Not a Generic Model: Skills, playbooks, escalation thresholds, asset criticality, and change-freeze rules are written in plain language and enforced deterministically — it acts the way your team would, not the way an LLM guesses.
• Deploys on Your Terms: SaaS, single-tenant SaaS inside your VPC, or fully on-prem; bring your own LLM endpoint with data that never trains a shared model; federated reasoning across multiple SIEMs, EDRs, XDRs, and CDRs at once.

Download the brief and know the new era of AI SecOps