Why GDPR Fines Aren’t Insured — and What Is Covered Instead
The short version
If your business suffers a GDPR breach, you might assume your insurance will “pay the fine.” In most cases, it won’t. That’s not insurer…
Software bugs are inevitable. What isn’t inevitable is the fallout: lost revenue, customer claims, regulatory scrutiny, and reputational damage. When something breaks, the big question quickly becomes: was it just an error… or was it negligence? That distinction matters because it can affect liability, contract disputes, and whether an insurer treats the incident as a covered “professional error” or a foreseeable failure that should have been prevented.
This guide explains how negligence is typically assessed in software-related claims, what evidence tends to matter, and how businesses can reduce risk through contracts, process, and the right mix of insurance.
This article is general information, not legal advice. Negligence is fact-specific and depends on jurisdiction, contracts, and the circumstances of the incident.
A bug can trigger multiple types of loss:
A customer suffers financial loss because your system miscalculates, fails, or corrupts data.
A third party is impacted (for example, a customer’s customer).
A security vulnerability is exploited, leading to a data breach.
A critical outage causes business interruption.
A defective update damages hardware or connected systems.
When a claim lands, the dispute often centres on whether you met the expected standard of care. If you did, it may be treated as an unfortunate professional error. If you didn’t, the claimant may argue negligence and seek damages, and your insurer will look closely at policy terms, exclusions, and how the incident arose.
Negligence is usually framed as a failure to take reasonable care, resulting in foreseeable harm. In software contexts, it’s less about “you shipped a bug” and more about whether your approach to design, testing, security, and change control was reasonable for the type of system and the risks involved.
A helpful way to think about it is:
Error: A defect slips through despite reasonable controls.
Negligence: A defect slips through because reasonable controls were missing, ignored, or clearly inadequate.
The “reasonable” standard is not one-size-fits-all. It tends to be judged against:
The nature of the product (consumer app vs safety-critical system)
The industry (fintech, healthcare, aviation, insurance, etc.)
The potential severity of harm
The promises made in your contract, marketing, and SLAs
Common industry practice (secure development, testing, monitoring)
Your own internal policies (if you have them, you’ll be judged against them)
A bug in a hobby app is not assessed the same way as a bug in payroll software, medical device firmware, or a trading platform.
If the issue was known (or strongly suspected) and shipped anyway, negligence arguments become stronger. Examples include:
A bug is logged as “high severity” but deferred without a documented risk decision.
A security scanner flags a critical vulnerability and it’s ignored.
A customer reports a reproducible issue and it’s not triaged.
Insurers and claimants will look for evidence of awareness: tickets, emails, Slack messages, incident reports, and release notes.
Testing doesn’t need to be perfect, but it should be proportionate.
Negligence is more likely where:
There is no test plan for a major release.
No regression testing is performed on core functions.
A hotfix is pushed straight to production with no peer review.
There is no staging environment or rollback plan.
For high-impact systems, claimants may expect unit tests, integration tests, UAT, and documented sign-off.
Many costly incidents are not “mysterious bugs” but process failures:
Deployments occur without approvals.
Production access is too broad.
Changes are not tracked.
Versioning is unclear.
If you can’t show what changed, when, and who approved it, it becomes harder to demonstrate reasonable care.
A software bug that becomes a breach can trigger both negligence and regulatory issues.
Negligence arguments often focus on:
Failure to patch known vulnerabilities
Insecure defaults
Weak authentication or access control
Lack of encryption for sensitive data
No monitoring or alerting for suspicious activity
Security expectations vary by sector, but the baseline has risen significantly in recent years.
Negligence claims sometimes piggyback on “you promised X”:
“Bank-grade security” claims without evidence
Uptime commitments without resilient architecture
“Guaranteed accuracy” for calculations that weren’t validated
Even if the underlying bug was accidental, exaggerated promises can make the failure look more blameworthy.
For bespoke development and integrations, lack of documentation can be framed as negligent delivery:
No user guidance for critical workflows
No admin/runbook for support
No clear limitations or assumptions
If the customer misuses the system because instructions were unclear, disputes can escalate quickly.
Not every incident is negligent. Factors that tend to help show reasonable care include:
A documented SDLC (software development lifecycle) and secure development practices
Peer review and change approvals
Testing evidence (even if not exhaustive)
Monitoring and incident response procedures
Clear communication and timely remediation
A sensible risk acceptance process for known issues
If you can show you acted like a competent professional team, a bug can be treated as an unfortunate defect rather than a reckless failure.
Whether you’re defending a claim or making a notification to insurers, evidence is crucial. Common items include:
Contracts, statements of work, SLAs, and scope documents
Requirements and acceptance criteria
Ticket history (Jira, Azure DevOps, etc.)
Code review records and approvals
Test plans and test results
Release notes and deployment logs
Security scan outputs and patch records
Incident timeline, root cause analysis, and remediation plan
Customer communications (what was promised and when)
A well-run incident response process can materially reduce the “negligence” narrative.
Different policies respond to different parts of the loss. The right combination depends on what you build, who you serve, and how contracts are structured.
This is often the core cover for software businesses. It can respond to allegations that your professional services or software caused a client financial loss.
PI/E&O claims may include:
Defective code or failure to meet specification
Negligent advice, design, or implementation
Missed deadlines causing client loss (depending on wording)
Breach of professional duty
Key watch-outs:
Contractual liability (agreeing to liabilities beyond negligence)
Fitness for purpose warranties
Exclusions for deliberate acts or known defects
Retroactive dates and “claims-made” conditions
Cyber policies typically focus on security incidents: breach response, forensics, notification, PR, and sometimes business interruption.
Cyber may respond where a bug is exploited (for example, a vulnerability leading to unauthorised access). It may also provide access to incident response vendors.
Key watch-outs:
Security minimum standards and warranties
Exclusions for unpatched known vulnerabilities
Waiting periods for business interruption
Sub-limits for certain events (e.g., ransomware)
If a software defect causes bodily injury or property damage (rare, but possible with IoT, industrial control, medical tech, or embedded systems), liability policies may be relevant.
However, pure financial loss is usually the PI/E&O domain.
If the incident leads to allegations about management decisions, investor claims, or regulatory action against directors, D&O may be relevant.
Traditional BI is usually tied to physical damage. Cyber BI is more relevant for software outages caused by cyber events. Some tech E&O wordings also include limited cover for certain interruption losses.
Even if you have insurance, contract terms can make claims harder to defend or settle.
If you accept unlimited liability, a single incident can become existential. Many software suppliers negotiate caps (often linked to fees paid).
These can turn a bug into a strict obligation rather than a negligence-based dispute.
Indemnities for third-party losses can create exposure that doesn’t map neatly to PI cover.
If you promise 99.99% uptime but run a single-region setup with no failover, a claimant may argue the risk was obvious.
You don’t need a perfect process. You need a defensible one.
Define how features move from requirement to release
Require peer review for production changes
Keep audit trails
Unit tests for core logic
Regression tests for critical workflows
UAT sign-off for major releases
Keep evidence (test reports, screenshots, logs)
Patch management and dependency scanning
Secure configuration baselines
MFA and least-privilege access
Monitoring and alerting
When you ship with known issues:
Record severity and impact
Document the business decision
Put mitigations in place
Communicate limitations where appropriate
Clear deliverables and acceptance criteria
Reasonable liability caps
Exclusions for consequential loss (where appropriate)
Clear responsibilities for client-side configuration and data
A fast, structured response can reduce damages and show professionalism:
Contain the issue
Communicate clearly (without admitting liability prematurely)
Provide workaround/rollback
Perform root cause analysis
Prevent recurrence
No. Bugs happen. Negligence is about whether you took reasonable care given the risks and what you promised.
It reduces risk significantly, but claims can still arise. Insurance and good contracts are still important.
It can complicate claims. Many policies require you not to admit liability or agree settlements without insurer consent. Always check policy conditions and notify early.
That’s common in integrations and bespoke deployments. Clear scope, responsibilities, and documentation help demonstrate where control sat.
It may, if the bug leads to a covered cyber event (like unauthorised access). For pure performance/functional defects causing financial loss, PI/E&O is usually the starting point.
The difference between a defensible mistake and a negligence allegation is often process, documentation, and communication. If you can show you acted reasonably—tested proportionately, managed changes, handled security responsibly, and responded quickly—you’re in a far stronger position with customers, regulators, and insurers.
If you build, deploy, or maintain software for clients, it’s worth reviewing your contracts and your insurance programme together. A well-structured PI/Technology E&O policy, supported by cyber cover where relevant, can be the difference between a painful incident and a business-ending one.
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