Case study: SIEM-to-ticket orchestration for a security technology partner serving enterprise clients. Intelligence Holdco implemented playbook automation without replacing the partner’s existing SIEM investment.
Client context
Alerts flooded a shared mailbox; triage quality varied by analyst shift. Customers expected consistent evidence in escalation packs.
Problems encountered
Playbooks lived in wiki pages disconnected from ticketing.
Duplicate tickets opened for the same underlying condition.
Post-incident reviews lacked standard evidence attachments.
Our approach
Webhook ingestion normalised alerts; playbook runner created tasks with severity tags.
Dedup keys derived from rule id, entity, and time window.
Evidence store accepted log extracts with hash verification.
Implementation measures
Integrated ServiceNow and Jira connectors with signed callbacks.
Runbooks for five alert families piloted before library expansion.
Dashboards tracked MTTA, MTTR, and false positive rates per family.
Technical challenges
Customer tenants required logical isolation; we deployed namespaced configurations per tenant.
Rate limits on vendor APIs required queue shaping during burst campaigns.
Outcomes
Mean time to assign improved across pilot month.
Post-incident packs standardised; customer satisfaction scores on communication rose in survey sample.
Analyst overtime during simulated exercise decreased versus prior year baseline.
Holdco perspective
Partners should productise playbooks as configuration, not professional services hours alone—this project established that library.
Client identity and technical environment details are anonymised. Outcomes describe operational improvements—not securities performance.
Collaboration model
Joint steering committees met fortnightly with decision logs published within twenty-four hours.
Product owners from the client had direct access to backlog prioritisation workshops.
Lessons retained
Playbooks updated after go-live incorporated lessons from hypercare tickets.
Internal Holdco knowledge base entries anonymised for future proposals.
Risk management during delivery
Delivery risks—vendor delay, key illness, environment access—tracked in RAID logs shared with steering committee.
Knowledge transfer metrics
Training attendance and runbook exercises measured before hypercare sign-off.
Post-go-live support
Thirty-day hypercare included standard; extension priced in change requests if needed.
Extended outcomes analysis
False positive review sessions became standing monthly forums—playbook authors received direct feedback loops.
Customer tenants on shared infrastructure reported no cross-tenant data leakage in independent test summary.
Operational metrics after go-live
Partner leadership reviewed MTTA trends monthly; playbook authors adjusted dedup keys when false positives clustered.
Customer tenants remained logically isolated in penetration test summary commissioned by client.
Next steps
Email connect@intelligenceholdco.com or use Request a proposal for a scoped discussion.
Include deployment constraints, user counts, integration inventory, and assurance timelines with your enquiry.
Material on this website is general information about Intelligence Holdco enterprise software and services. It is not financial product advice, a securities offer, or a binding procurement commitment.