casemark/analyzing-cyber-insurance

Analyzing Cyber Insurance

When To Use

• Evaluating a new or renewal cyber insurance policy for coverage adequacy
• Comparing competing cyber policy quotes across carriers
• Assessing whether existing cyber limits align with the insured's risk profile
• Running claims scenarios to stress-test policy response under breach events
• Reviewing policy language for sublimit traps, retroactive date gaps, or exclusion pitfalls
• Advising on tower structure or excess placement for large cyber programs

Inputs To Gather

• Policy documents: Full policy form including declarations page, endorsements, and any manuscript amendments
• Insured profile: Industry vertical, annual revenue, record count (PII/PHI/PCI), geographic footprint, and IT infrastructure summary
• Loss history: Prior cyber claims, near-misses, and any regulatory actions or litigation
• Risk assessment data: Most recent penetration test results, SOC 2 or ISO 27001 status, incident response plan maturity
• Program structure: Primary and excess layers, attachment points, carrier line-up, and any shared/quota arrangements
• Benchmark data: Peer company limits, industry loss trends (e.g., Advisen, NetDiligence claims studies), and broker market intelligence
• Coverage requirements: Contractual insurance obligations, regulatory mandates, and board risk appetite statements

Workflow

1. Map coverage grants against risk exposures

   • Parse insuring agreements for first-party (business interruption, data restoration, extortion, forensic costs, notification/credit monitoring, crisis management/PR) and third-party (network security liability, privacy liability, regulatory defense and penalties, media liability, PCI-DSS fines) coverages
   • Flag any coverage grants that are absent given the insured's exposure profile
   • Note whether coverage triggers are occurrence-based, claims-made, or claims-made-and-reported, and confirm retroactive date adequacy

2. Analyze key policy terms and conditions

   • Identify sublimits that effectively cap high-frequency loss categories (e.g., ransomware/extortion sublimit, dependent business interruption sublimit, voluntary notification sublimit)
   • Review waiting period / hours clause for business interruption — compare against insured's actual RTO expectations
   • Examine consent requirements for breach counsel, forensic vendors, and ransom payments [VERIFY carrier panel requirements]
   • Assess war/terrorism and nation-state exclusions — note whether carve-backs for cyberterrorism exist
   • Review infrastructure/cloud exclusion wording — confirm coverage extends to hosted environments (AWS, Azure, SaaS dependencies)
   • Check prior acts, pending/prior litigation, and prior knowledge exclusions for gaps

3. Evaluate limit adequacy

   • Model loss scenarios across severity tiers:
     • Low: Single employee credential compromise, limited data exposure (~5K records)
     • Medium: Ransomware event with 72-hour operational downtime, partial data exfiltration (~500K records)
     • High: Systemic breach with regulatory investigation across multiple jurisdictions, class action exposure (~5M+ records)
   • For each scenario, stack estimated costs: forensic investigation, notification, credit monitoring, legal defense, regulatory fines, business interruption loss, and reputational/crisis management spend
   • Compare modeled losses against aggregate and per-occurrence limits, noting erosion risk from sublimited coverages
   • Benchmark limits against industry peers by revenue band and data volume [VERIFY current benchmark sources]

4. Assess program structure and pricing

   • If tower program: evaluate attachment points, follow-form consistency across excess layers, and any differences in conditions (DIC) or differences in limits (DIL) issues
   • Flag anti-stacking provisions, batch/related-claims clauses, and interrelated wrongful acts definitions that could consolidate multiple events into a single limit
   • Compare premium-per-million across layers and against market benchmarks
   • Identify retention (SIR/deductible) appropriateness relative to the insured's balance sheet and incident frequency

5. Review exclusions and conditions for coverage disputes risk

   • Catalog exclusions most likely to generate coverage disputes: failure to maintain minimum security standards, criminal/fraudulent acts, contractual liability, bodily injury/property damage, unencrypted device exclusions
   • Assess notice/reporting requirements — identify strict compliance conditions that could void coverage
   • Note any cooperation and subrogation obligations that impose operational burdens during active incidents

Output

Structure the analysis report with the following sections:

• Executive Summary: One-page overview of coverage adequacy rating (Strong / Adequate / Gaps Identified / Inadequate), top three findings, and priority recommendations
• Coverage Matrix: Table mapping each insuring agreement to the insured's risk exposures, noting sublimits, retentions, and waiting periods per coverage part
• Limit Adequacy Analysis: Scenario-based loss modeling results with comparison to purchased limits and benchmark data
• Terms and Conditions Review: Annotated list of policy provisions with risk ratings (Green / Yellow / Red) based on potential to restrict or deny coverage
• Exclusion Risk Assessment: Ranked list of exclusions by likelihood and severity of coverage dispute
• Program Structure Evaluation: Visual or tabular representation of tower structure with commentary on layering efficiency and pricing
• Recommendations: Prioritized action items — coverage enhancements to negotiate, limit increases to pursue, endorsements to request, and alternative market options

Quality Checks

• Every sublimit, retention, and waiting period from the declarations page is accounted for in the coverage matrix
• Loss scenarios use defensible cost assumptions with sources cited (NetDiligence, Ponemon/IBM, Verizon DBIR) [VERIFY latest study year and figures]
• Exclusion analysis references specific policy section numbers and endorsement form numbers
• Retroactive date, extended reporting period (tail), and policy period are confirmed and noted
• All jurisdictional regulatory exposure is identified — GDPR, CCPA/CPRA, HIPAA, state breach notification statutes as applicable [VERIFY relevant jurisdictions for insured's footprint]
• Recommendations distinguish between items achievable in current negotiation vs. next renewal cycle
• Report flags any areas where actuarial loss modeling or independent broker review is warranted beyond the scope of this analysis