FinFlow Payments Inc. | Fintech Sector — A comprehensive incident response program built from the ground up for a high-growth payment processing fintech, covering policy development, playbook creation, tabletop exercise facilitation, and post-incident process improvement.
FinFlow Payments Inc. — a high-growth fintech payment processor scaling rapidly in a heavily regulated industry.
Founded in 2021 and headquartered in Wilmington, DE, FinFlow Payments Inc. processes over $2.5 billion in annual payment volume. With 180 employees and $48M ARR, the company operates at the intersection of high-velocity transaction processing, cloud-native infrastructure, and strict regulatory oversight.
The engagement scope covered the full incident response lifecycle: policy and plan development aligned to NIST SP 800-61 Rev 2, four scenario-specific playbooks, a live tabletop exercise simulating a ransomware attack, and a post-incident review framework. The program serves as the operational backbone for FinFlow's PCI DSS, SOC 2 Type II, and NYDFS cybersecurity regulation obligations.
Deliverables included an executive-sponsored IR policy, a detailed incident response plan with defined roles and communication trees, four playbooks with step-by-step technical response procedures, a tabletop exercise facilitator guide with 8 injects, and a post-incident review template for continuous improvement.
Aligned to NIST SP 800-61 Rev 2, the program operationalizes incident response from preparation through lessons learned.
IRT charter, role definitions, communication trees, tooling inventory, training program, and legal counsel engagement. Pre-positioned evidence collection scripts and forensic readiness checklists.
SIEM alert triage, anomaly detection thresholds, phishing reporting workflows, and initial scope determination. Escalation criteria mapping severity levels to response team activation.
Immediate containment actions including network isolation, credential rotation, endpoint quarantine, and API key invalidation. Cloud infrastructure containment via IAM policy lockdown.
Root cause removal, compromised system rebuild, malware analysis, persistence mechanism detection, and validation scanning to confirm complete threat removal before recovery.
Phased service restoration from clean backups, integrity verification, monitoring for signs of re-infection, and stakeholder communication. Business resumption criteria and go/no-go gates.
Post-incident review (PIR) sessions, root cause analysis documentation, lessons learned register, control enhancement recommendations, and playbook update cycle triggered by findings.
Each playbook provides step-by-step technical response procedures, severity classification criteria, escalation paths, and evidence preservation requirements.
Encrypted host isolation, ransom note analysis, variant identification via IOC feeds, backup integrity verification, decryption tool research, and law enforcement coordination protocol.
Access log forensic analysis, data exfiltration detection, customer notification workflow, regulatory reporting timeline (PCI DSS 60-day, NYDFS 72-hour), and public relations script templates.
Traffic analysis and WAF rule tuning, rate limiting activation, CDN-based mitigation (Cloudflare), API gateway throttling, upstream provider coordination, and transaction integrity verification.
Privileged access review, user behavior analytics (UBA) alert triage, data loss prevention (DLP) investigation, HR-legal coordination, account suspension workflow, and evidentiary chain-of-custody.
A facilitated 3-hour tabletop exercise designed to test the Incident Response Team's decision-making under a simulated ransomware attack scenario.
The exercise simulated a sophisticated ransomware attack originating from a compromised third-party API integration. Participants were presented with 8 injects across the detection, containment, eradication, and recovery phases. Key decision points included ransom payment deliberation, regulatory notification timing, customer communication strategy, and forensic evidence preservation.
18 observations documented — 6 process gaps identified, 3 playbook updates triggered, 2 control enhancements prioritized.
Key performance indicators for the IR program including response time targets, playbook coverage distribution, and historical incident frequency.
Target Completion Time by Phase
Incident Severity Classification
Historical Distribution (Last 12 Months)
All artifacts are available in the project GitHub repository. Each deliverable follows a consistent format with version control, confidentiality markings, and professional formatting.