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security19 min read

Security Incident Response: Startup Preparation Guide

A founder- and engineer-ready handbook to stand up a lightweight, repeatable incident response program—roles, severity definitions, triage flow, evidence handling, communications, AI/LLM-specific incidents, tabletop drills, and metrics. Built to be credible in audits without slowing delivery.

By Security Engineering Team

Summary

Incidents are unavoidable. Chaos is optional. This guide gives you a simple, repeatable incident response program built for startups: clear roles, a 30/60/90 triage flow, evidence handling, internal and external communications, AI/LLM-specific incident playbooks, and a quarterly drill cadence. It's designed to satisfy buyer/audit expectations while preserving engineering velocity.

Why Incident Response Matters

Effective incident response directly impacts business outcomes and trust
Response GapBusiness ImpactRisk LevelFinancial Impact
No clear incident commanderExtended downtime, chaotic responseHigh$50K-$200K per hour of downtime
Poor evidence handlingFailed audits, legal liabilityMedium$75K-$300K in legal/compliance costs
Inadequate communicationsCustomer churn, reputation damageHigh$100K-$500K in lost revenue
Missing AI incident playbooksCost overruns, safety failuresHigh$80K-$400K in operational risk
No tabletop exercisesUnprepared teams, slow responseMedium$40K-$150K in productivity loss
Poor post-incident learningRepeated incidents, technical debtMedium$60K-$250K in recurring costs

Core Roles and Responsibilities

Keep the team small, roles clear, and escalation reversible
RoleTime CommitmentKey ResponsibilitiesCritical Decisions
Incident Commander (IC)100% during incidentOwns decisions and timeline; sets severity; assigns tasks; watches the clockSeverity classification, external comms approval, resource allocation
Technical Lead (TL)100% during incidentLeads diagnosis, isolation, and remediation; coordinates with service ownersTechnical approach, rollback decisions, containment strategy
Scribe100% during incidentCaptures timeline, decisions, commands run; preserves evidence pointersEvidence collection scope, documentation standards
Communications Lead50-70% during incidentPrepares stakeholder updates; coordinates status page and customer commsMessage timing, content approval, audience targeting
Legal/Privacy Contact20-40% during incidentAdvises on regulatory notices, data handling, contractual obligationsLegal notification requirements, external messaging approval
Security Analyst60-80% during incidentGuides containment vs eradication, forensics, log/evidence integrityForensic approach, containment strategy, follow-up controls

Metrics That Matter

Favor leading indicators and closure quality over vanity numbers
Metric CategoryKey MetricsTarget GoalsMeasurement Frequency
Response SpeedTime to IC/TL assignment, Containment timeSEV-1: <10min, SEV-2: <30min, Containment <60minPer incident
Evidence QualityEvidence completeness, Chain of custody integrity≥90% checklist completion, 100% custody trackingPer incident
Communication EffectivenessCustomer update timeliness, Internal notification speedWithin promised windows, SEV-1 <15minPer incident
Learning & ImprovementPostmortem action closure, Tabletop exercise frequency≥80% closed in 30 days, Quarterly drillsMonthly
AI Incident ReadinessToken cost variance, Guardrail effectiveness<10% variance, 100% eval coverageMonthly
Program MaturityRunbook coverage, Team training completion100% critical scenarios, Annual certificationQuarterly

90-Day Implementation Plan

Build incident response capability in phases

  1. Month 1: Foundation Setup

    Define roles and responsibilities, establish severity matrix, set up basic logging and alerting, create initial runbooks

    • Role definitions complete
    • Severity matrix documented
    • Basic alerting operational
  2. Month 2: Process Implementation

    Implement triage flow, establish evidence handling, create communications templates, conduct first tabletop

    • Triage process tested
    • Comms templates ready
    • First tabletop completed
  3. Month 3: Refinement & Scaling

    Refine based on learnings, add AI-specific playbooks, establish metrics, integrate with compliance

    • AI playbooks added
    • Metrics dashboard live
    • Compliance integration complete

Severity Levels and SLAs

Right-size your response; avoid all-hands for minor events
SeverityDefinitionInitial Response TargetComms CadenceEscalation Requirements
SEV-1Customer-visible security incident or confirmed data exposure; ongoing exploitationIC within 10 minutes; full team engagedInternal every 30–60 min; external every 60–120 minExecutive team, Legal, Board if material
SEV-2High-risk vulnerability actively exploited in limited scope; potential data exposureIC within 30 minutes; core team within 60 minutesInternal hourly; external if customer impactDepartment heads, Legal if data exposure
SEV-3Suspicious activity, control degradation, or third-party advisory with potential exposureIC within 4 hours; investigation owner assignedDaily internal updates until closureTeam leads, Security owner

Triage Flow: 30/60/90 Minutes

Stabilize fast, decide deliberately, document everything

  1. 0–30 Minutes: Stabilize and Scope

    Assign IC/TL/Scribe; set provisional severity; snapshot critical logs/metrics; isolate blast radius

    • Severity set; owners assigned
    • Initial containment actions executed
    • Evidence collection started
  2. 30–60 Minutes: Contain and Verify

    Block indicators of compromise; rotate exposed credentials; validate with logs; decide on external comms

    • Indicators enumerated and blocked
    • Evidence pointers recorded
    • Comms plan finalized
  3. 60–90 Minutes: Eradicate and Communicate

    Patch/rollback/fix configuration; increase monitoring; confirm path to recovery; publish updates

    • Remediation actions applied
    • Stakeholder updates sent
    • Recovery timeline established

Evidence Handling and Forensics

Preserve Before Fix

Snapshot key logs/metrics, relevant database metadata, and configuration states before mutation

  • Forensic integrity
  • Audit defensibility
  • Accurate root cause

Chain of Custody

Designate a single evidence owner. Use append-only storage or write-once buckets with timestamps

  • Tamper resistance
  • Clear accountability
  • Legal readiness

Scoped Collection

Collect only what's necessary: auth logs, admin actions, data export logs, infra events

  • Privacy respect
  • Faster analysis
  • Lower legal risk

Retain and Label

Retain evidence per policy (e.g., 12–24 months). Label with incident ID, severity, and classification

  • Searchability
  • Policy alignment
  • Future reviews

AI-Specific Evidence

Capture prompt/response logs, model outputs, guardrail triggers, token usage patterns

  • AI incident analysis
  • Model behavior tracking
  • Cost attribution

Automated Collection

Automate evidence collection for common incident types to ensure consistency and speed

  • Faster response
  • Consistent process
  • Reduced human error

AI/LLM Incident Playbooks

Specialized response procedures for AI/LLM-specific incidents
Incident TypeDetection SignalsContainment ActionsRecovery Steps
Prompt Injection/Data LeakageGuardrail triggers, abnormal output, data pattern alertsDisable risky tools, scrub prompts, redact logs, rotate tokensReview prompts, enhance filters, update training data
Model/Provider OutageAPI errors, timeout spikes, provider status alertsFailover to backup provider, switch models, degrade gracefullyPost-event vendor review, improve abstraction layer
Hallucination/Safety RegressionEval failures, user reports, quality metrics degradationBlock release, rollback model version, increase safety filtersAdd targeted tests, update evaluation criteria
Runaway Token SpendBudget alerts, cost spikes, usage pattern anomaliesEnforce budgets, cut off abusive patterns, implement cachingOptimize prompts, review caching strategy, set tighter limits

Cost Analysis and Budget Planning

Budget considerations for incident response program implementation
Cost CategorySmall Team ($)Medium Team ($$)Large Team ($$$)
Team Training & Certification$15K-$35K$35K-$85K$85K-$200K
Tools & Infrastructure$20K-$50K$50K-$120K$120K-$280K
Consulting & External Support$25K-$60K$60K-$150K$150K-$350K
Tabletop Exercises & Drills$10K-$25K$25K-$60K$60K-$140K
Incident Response Retainer$30K-$70K$70K-$170K$170K-$400K
Total Budget Range$100K-$240K$240K-$585K$585K-$1.37M

Risk Management Framework

Proactive risk identification and mitigation for incident response
Risk CategoryLikelihoodImpactMitigation StrategyOwner
Role Confusion During IncidentHighHighClear role definitions, regular training, backup assignmentsIncident Commander
Evidence Handling ErrorsMediumHighStandardized procedures, automated collection, trainingSecurity Analyst
Communication BreakdownHighMediumTemplate library, escalation matrix, regular drillsCommunications Lead
AI Incident MisclassificationMediumHighSpecialized playbooks, AI-trained responders, vendor coordinationTechnical Lead
Regulatory Notification FailuresLowHighLegal playbook integration, notification checklists, expert reviewLegal/Privacy Contact
Team BurnoutMediumMediumRotation schedules, psychological safety, post-incident supportEngineering Manager

Anti-Patterns to Avoid

All-Hands for Every Alert

Using full team mobilization for minor incidents causes fatigue and reduces effectiveness

  • Targeted response
  • Reduced burnout
  • Better resource allocation

Fixing Before Preserving Evidence

Rushing to fix problems without proper evidence collection compromises forensic integrity

  • Better root cause analysis
  • Legal defensibility
  • Audit compliance

Oral History and Heroics

Relying on individual knowledge rather than documented runbooks and procedures

  • Consistent response
  • Knowledge retention
  • Scalable operations

Vague Customer Communications

Providing unclear or delayed updates to customers during incidents damages trust

  • Transparency
  • Customer retention
  • Brand protection

Skipping Postmortems

Failing to capture and act on lessons learned leads to repeated incidents

  • Continuous improvement
  • Risk reduction
  • Team learning

AI Features Without Guardrails

Deploying AI capabilities without proper safety controls and incident procedures

  • Risk management
  • Cost control
  • User safety

Prerequisites

References & Sources

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Be Incident-Ready in 30 Days

Stand up roles, runbooks, and drills that reduce risk and downtime—AI safety, evidence handling, and buyer/audit expectations included.

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