Mission Log: governance and operational milestones

The ingest AI learns from new telemetry, proposes a mapping, and routes it for analyst review before publishing the connector.

• Auto-classifies JSON, CSV, and log payloads into the shared security schema.
• Review queue surfaces unrecognized feeds so analysts can approve or adjust quickly.
• Audit-evidenced ingestion writes a detailed trail for every accepted field.

Field teams can now activate new cloud, endpoint, or network telemetry without waiting on custom engineering.

The ingest, correlation, and orchestration services publish live health directly from the production environment to keep leaders informed.

• Model baselines consolidate enterprise and research datasets for consistent detection.
• Confidence thresholds control when automation can run.
• Decision trails capture every action inside the audit log for regulator-ready evidence.

Leadership teams can see how data flows through each stage of the platform at any moment.

Google and Microsoft identity providers now authenticate through the dedicated auth domain. Each new user lands in a pending state until a local administrator confirms access and assigns a role.

• Approval workflow gives administrators full visibility into pending identities before access is granted.
• Role controls separate analyst, responder, and admin duties to maintain governance.
• Multi-factor authentication offers QR-based enrolment for authenticator apps, with every step captured in the audit trail.

The login experience now reflects enterprise expectations end to end, from SSO through MFA and ongoing oversight.

Current sprint themes include stronger containment playbooks, richer drift analytics, and integrations with incident management tooling.

• Response guardrails that escalate only when multiple AI layers agree above the assurance threshold.
• Continuous latency and drift reporting so auditors can trace end-to-end performance.
• Executive evidence packs that bundle dashboards, audit trails, and incident exports for every review cycle.

These workstreams keep automation accountable while giving stakeholders clear proof of resilience improvements.