Customer Case Studies — Claude AI & ChatGPT in the SOC

Customer Case Studies — Real Security Teams on Threatstealth

How enterprise security teams, MSSPs, and compliance-driven organisations use Threatstealth to operate faster, pass audits, and scale multi-tenant security operations.

• Claude AI in the SOC — automated triage, alert summarisation, and playbook generation at scale
• ChatGPT for day-to-day SecOps — analyst augmentation from morning runbook to post-incident RCA
• PCI DSS V 4.0.1 audit prep time cut by 92% using continuous evidence automation
• MSSP scaled from 12 to 180 tenants without additional headcount using multi-tenant isolation
• OWASP LLM Top 10 integrated into CI/CD pipeline — catching prompt injection before deployment

AI-Augmented Security Operations in Practice

The Claude AI in the SOC case study documents how a mid-size financial services security team integrated Claude AI into their Threatstealth alert triage workflow, achieving an 80 percent reduction in time-to-triage for medium-severity alerts and a significant improvement in alert summary quality for handoff between shifts. The ChatGPT for SecOps case study follows a 4-analyst SOC through a full working day — from the 08:30 morning runbook through live incident investigation and post-incident root cause analysis — showing where AI augmentation accelerates analyst throughput and where human judgment remains essential.

• Alert triage augmentation — Claude-generated summaries reducing analyst reading time per alert by over 70 percent
• Playbook generation — AI-drafted incident response playbooks reviewed and approved by senior analysts
• Morning runbook automation — AI-compiled overnight alert digests delivered at shift start with recommended priorities
• Post-incident RCA — AI-assisted root cause analysis timelines built from correlated log and alert data
• Analyst augmentation limits — cases where AI assistance added value versus cases requiring full human investigation

PCI DSS V 4.0 Audit Preparation Time Reduction

The PCI DSS V 4.0.1 case study documents a payment processor's journey from a 14-week pre-audit evidence collection sprint to a 3-day auditor export workflow using Threatstealth continuous compliance monitoring. The organisation had previously relied on manual screenshot collection, spreadsheet tracking, and engineering pulls for each of the 300+ PCI DSS sub-requirements. After implementing continuous evidence collection, they achieved 92 percent reduction in pre-audit engineering hours, zero evidence re-requests from their QSA, and a full scope-confirmed RoC-ready evidence package generated in one click on audit day.

• Pre-audit preparation time reduced from 14 weeks to 3 days using continuous evidence collection
• Zero auditor evidence re-requests across the entire Type II examination period
• CDE scope automation — all in-scope systems automatically tagged and included in evidence collection
• QSA onboarding — auditor given read-only access to the evidence portal instead of receiving document bundles
• Ongoing compliance posture — real-time control status visible to the security team between annual assessments

MSSP Scale: From 12 to 180 Client Tenants

The MSSP scaling case study follows a managed security service provider that grew from 12 to 180 client tenants over 18 months using the Threatstealth multi-tenant console — with the same analyst headcount throughout the growth period. The key architectural decisions that enabled this scale included row-level database isolation eliminating per-query tenant filtering logic, template-based client onboarding reducing new tenant setup from days to minutes, and a unified cross-tenant alert queue that prioritised all client alerts by severity regardless of which tenant originated them.

• Headcount stability — analyst team size held constant while client tenant count grew from 12 to 180
• Onboarding time reduction — new client tenant provisioning reduced from 3 days to 45 minutes using templates
• Cross-tenant alert triage — unified severity-sorted queue replacing per-client dashboard monitoring
• Per-client SLA reporting — automated MTTD and MTTR reports generated for each client on a weekly cadence
• Isolation validation — independent third-party verification of zero cross-tenant data access throughout growth

OWASP LLM Top 10 in the CI/CD Pipeline

The LLM security CI/CD case study documents an AI product team that integrated OWASP LLM Top 10 scanning into their GitHub Actions deployment pipeline as a blocking gate before every production model deployment. The implementation caught prompt injection vulnerabilities in 3 of the first 12 deployment attempts, prevented one instance of training data leakage from reaching production, and forced architectural changes to the plugin sandboxing that eliminated a privilege escalation path discovered in testing. The case study provides a reproducible pipeline template that other engineering teams can adopt.

• Pipeline gate implementation — blocking deployment when LLM security scan fails any of the 10 OWASP categories
• Prompt injection catches — 3 distinct injection vulnerabilities caught before reaching production deployment
• Training data leakage prevention — one instance of PII memorisation detected and remediated before release
• Plugin privilege escalation — architectural change forced by scan findings that removed an escalation path
• Reproducible template — open pipeline configuration adaptable to GitHub Actions, GitLab CI, and Jenkins