This discovery framework is designed to help facilitate a collaborative conversation regarding Salesforce Shield. By exploring these operational scenarios, aviation insurance providers can accurately assess internal workflows and identify how specific Salesforce Shield capabilities can support their unique compliance and administrative needs, starting with areas of highest impact to practice revenue and client data security.
How are you ensuring that high-value policyholder data and proprietary underwriting formulas are secured against internal threats while maintaining compliance with international aviation regulations?
Scenario A: Critical Vulnerability
"If a breach occurs, we cannot definitively prove our proprietary rating tables and client financials were encrypted at rest. It is a massive liability risk for the entire firm."
Scenario B: Limited Perimeter Security
"We rely on standard perimeter security, but once a user is in the system, they can view sensitive high-value policyholder data without restriction."
In the event of a catastrophic aviation claim, how quickly can your organization prove a secure, immutable chain of custody for sensitive documentation requested by federal investigators?
Scenario A: Audit Failure Risk
"When federal aviation authorities audit our historical policies, we struggle to reconstruct exactly who changed coverage limits three years ago."
Scenario B: Manual Extractions
"We track recent changes, but keeping a detailed history of policy modifications for a decade is currently a highly manual IT extraction process."
How are you actively tracking and preventing unauthorized access or bulk downloads of sensitive fleet maintenance and pilot certification records by internal staff?
Scenario A: Unseen Data Exfiltration
"We have no way of knowing if a departing underwriter exports a massive list of private aircraft fleet operators until after they have left."
Scenario B: Retrospective Analysis Only
"Our reporting shows data volume changes, but we cannot trace specific API calls or bulk report exports back to individual users in real time."
What is the current process for securing proprietary actuarial tables and premium calculation variables within your CRM without breaking necessary quoting workflows?
Scenario A: Exposed Variables
"We cannot store sensitive pilot medical records in the database because our compliance team says the fields are exposed in plain text."
Scenario B: Siloed Quoting Engines
"We keep private flight logs in a separate, secure system, which forces underwriters to constantly toggle between screens to calculate risk."
How does the security team reconstruct user sessions or API calls when investigating anomalous behavior related to high-net-worth policyholder files?
Scenario A: Zero Forensic Visibility
"Investigating a suspected internal data leak is a nightmare because we lack the forensic log data to see exactly which screens a user viewed."
Scenario B: Basic Authentication Logs
"We log basic logins and logouts, but we do not have granular visibility into which specific aviation policies a user accessed during their session."
When an aviation claim spans multiple years of litigation, how do you guarantee that historical policy values and adjuster notes remain fully accessible and auditable?
Scenario A: Overwritten Evidence
"Aviation liability claims can take a decade to settle. We constantly lose the historical context of reserve adjustments because field history is overwritten."
Scenario B: Disconnected Cold Storage
"We dump old claim data into a cold storage server, making it difficult for active adjusters to reference past field values during ongoing litigation."
How do you currently enforce and verify data retention policies for passenger liability records across your global operations?
Scenario A: Audit Vulnerability
"We fail mock audits because we cannot prove our data retention policies for passenger liability records are strictly enforced."
Scenario B: Manual Archiving Process
"We manually archive old policy data to meet international aviation guidelines, but the process is prone to human error and difficult to verify."
When implementing strict encryption protocols for aircraft hull and liability data, how do you prevent search degradation or reporting limitations within your database?
Scenario A: Broken Workflows
"Every time we try to encrypt aircraft hull valuation data, it breaks our internal search functions and disrupts custom reporting."
Scenario B: High Maintenance Overhead
"We use a third-party encryption tool, but it creates significant latency and requires constant maintenance to keep our quoting engine running."
How are you managing visibility and access to confidential reinsurance agreements and syndicate capacity limits across different regional offices?
Scenario A: Competitive Exposure
"We have blind spots regarding who is accessing confidential reinsurance agreements. If a syndicate partner's capacity limits leak, it ruins our market position."
Scenario B: Assumed Trust Restrictions
"We restrict access via standard profiles, but we do not actively monitor if authorized users are viewing agreements outside of their assigned region."
What systems are in place to ensure that changes to critical compliance fields on a policy record are tracked with a timestamp and user ID over a ten-year span?
Scenario A: Lifecycle Blind Spots
"We cannot track the lifecycle of a high-risk policy application. Critical fields change without a proper audit trail, exposing us to massive regulatory fines."
Scenario B: Short-Term Visibility
"Our current system tracks eighteen months of history, but international aviation regulators frequently demand to see the original underwriting inputs from five years ago."