Three scenarios dominate the claims data. First, a compromised vendor email chain leads your AP team to redirect a legitimate invoice payment to a new bank account controlled by a criminal. Second, a spoofed executive email instructs your controller to wire funds for a confidential acquisition or urgent tax payment. Third, a threat actor compromises your company's own email system and intercepts outbound payment instructions to your clients, redirecting incoming payments. Each scenario triggers a different coverage grant, and some policies cover only one or two of the three.
Common Wire Transfer Loss Scenarios
A Houston energy company deployed a large language model to draft compliance reports last year. Within three months, the system fabricated two regulatory citations that never existed, and the company faced an enforcement inquiry before anyone caught the errors. Their general liability policy did not respond. Their tech E&O policy had a blanket AI exclusion added at the last renewal. The gap between what they assumed was covered and what the policy form actually said cost them six figures in defense fees alone.
This scenario is no longer rare. Texas businesses across Houston, Dallas, and Austin are adopting AI tools at speed, from customer-facing chatbots to autonomous decision engines, and the liability exposure is outpacing the insurance products most companies carry. AI liability insurance designed for Texas operations is not a theoretical concept anymore: it is a line item that risk managers, CFOs, and founders need to evaluate right now. Understanding how coverage responds to hallucination errors, algorithmic bias claims, and agentic AI decisions is the difference between a manageable incident and a balance-sheet event.
The Evolving AI Risk Landscape for Texas Businesses
Texas is the third-largest state economy globally by GDP, and its technology sector is expanding faster than the regulatory frameworks meant to govern it. The Texas Data Privacy and Security Act, updated in 2025, introduced new obligations for automated decision-making disclosures, but it did not create a comprehensive AI-specific liability regime. That leaves businesses exposed to a patchwork of federal guidance, sector-specific rules, and common-law negligence theories that plaintiffs' attorneys are already testing.
The volume of AI-related claims filed in U.S. courts increased by roughly 40% between 2024 and 2025, according to Stanford's AI Index. Texas accounted for a disproportionate share of those filings, driven by the concentration of energy, healthcare, and fintech companies deploying AI systems at scale. For a 50-person SaaS company in Austin or a 200-employee logistics firm in Dallas, the question is not whether AI creates liability. It is whether your current policy forms acknowledge that liability exists.
Why Texas Tech Hubs Need Specialized AI Coverage
Houston, Dallas, and Austin each have distinct industry profiles, but they share a common problem: standard commercial insurance programs were not designed for AI risk. A traditional errors and omissions policy may cover professional services delivered through software, but it typically does not address the unique failure modes of machine learning systems: hallucinated outputs, training data contamination, emergent behavior in agentic architectures, or discriminatory outcomes from biased algorithms.
Specialized AI coverage addresses these gaps at the insuring-agreement level. Rather than relying on a broad professional liability grant and hoping the carrier does not invoke a technology exclusion, a purpose-built AI liability policy defines the covered perils explicitly. That precision matters when a claim hits.
General Liability vs. AI Professional Liability: Understanding the Gap
General liability policies respond to bodily injury and property damage arising from your operations. They are not designed for economic loss caused by faulty AI outputs. If your chatbot gives a customer incorrect medical guidance and they suffer financial harm, a CGL policy will almost certainly decline the claim.
| Feature | General Liability | AI Professional Liability |
|---|---|---|
| Bodily injury / property damage | Covered | Typically excluded |
| AI hallucination / output errors | Not covered | May be covered by form |
| Algorithmic bias claims | Not covered | May be covered by endorsement |
| Agentic AI autonomous decisions | Not covered | Coverage varies by policy |
| Regulatory defense costs | Rarely covered | Often included with sublimit |
| Third-party financial loss | Not covered | Primary coverage grant |
The gap between these two policy types is where most uninsured AI losses land. A company that only carries general liability and a basic tech E&O policy may find itself with no coverage for the specific claims AI systems generate.
By: Caden Braly
Founder of Bloc Cyber Insurance
INDEX
Bloc Cyber and Its Licensed Producers Are Authorized to Place Cyber Coverage in All 50 U.S. States and The District of Columbia.
Cyber liability insurance covers the financial losses your business faces after a cyberattack or data breach. This page explains what the coverage includes, who needs it, what it costs, and how Bloc Cyber helps you get protected fast.
We start with a twenty-minute call to walk through your contracts, your draw process, your tech stack, and the last twelve months of attempted fraud. From there we go to market with ten-plus carriers, benchmark terms side-by-side, and present the options in plain language with recommended limits and retentions. Most intakes get indicative terms within one business day.
Forensic Investigations: Identifying the Source and Scope
Forensic investigators determine how the attacker got in, what data was accessed, whether exfiltration occurred, and whether the threat actor is still present in the network. Their report drives every downstream decision: which individuals must be notified, whether payment card brands must be alerted, and what remediation steps are necessary. Forensic engagements for mid-market companies commonly run between $30,000 and $150,000, depending on the complexity of the environment. The policy form may impose a separate sublimit on forensic costs or bundle them under a single breach response aggregate. Bloc Cyber reviews these sublimits at the insuring-agreement level before binding, so clients understand exactly how much forensic coverage they are purchasing and where the cap sits relative to their actual exposure.
SLA disputes represent a growing category of tech E&O claims, particularly for managed service providers and SaaS companies. When your contract guarantees 99.9% uptime and your platform experiences extended outages, the financial exposure extends beyond the service credits written into the SLA. Clients may claim consequential damages: lost sales, regulatory penalties, or reputational harm tied to the downtime.
Not every tech E&O policy covers SLA-related claims. Some forms treat SLA penalties as liquidated damages, which are typically excluded. Others classify SLA failures as a failure to perform professional services, which brings them within the coverage grant. You need to know which version your policy form uses before you sign a contract that includes uptime guarantees.
Missed Service Level Agreements (SLAs) and Uptime Requirements
Core Coverage Components for AI-Driven Operations
AI liability policies are not monolithic. They are built from discrete coverage grants, each responding to a different failure mode. Understanding these components helps you evaluate whether a given policy form actually protects your operations or just looks good in a summary.
Mitigating Financial Loss from LLM Hallucinations and Output Errors
Large language models generate plausible-sounding text that can be factually wrong. When a business relies on that output to advise customers, generate contracts, or produce reports, the downstream financial exposure is real. A well-structured AI E&O policy may respond to third-party claims arising from incorrect or misleading AI-generated content, but the trigger language matters.
Some forms require the insured to demonstrate that the error resulted from a "failure to perform professional services." Others use broader language covering "wrongful acts in the delivery of AI-enabled services." The distinction determines whether a hallucination, which is not a traditional professional error, falls within the coverage grant. Bloc Cyber reviews these trigger provisions at the form level before binding, because a policy that excludes AI-generated content from its definition of covered services is functionally useless for this risk.
Addressing Algorithmic Bias and Digital Discrimination Claims
The EEOC and CFPB have both issued enforcement guidance on algorithmic discrimination. Texas employers and lenders using AI for hiring, credit scoring, or pricing decisions face exposure under Title VII, the Equal Credit Opportunity Act, and state-level consumer protection statutes. A bias claim can arrive as a regulatory investigation, a class action, or both simultaneously.
AI liability endorsements for algorithmic bias typically cover defense costs and settlements arising from claims that your AI system produced discriminatory outcomes. The critical policy details include whether the form covers disparate impact claims (not just intentional discrimination), whether regulatory proceedings trigger the defense obligation, and whether the retention applies per claimant or per occurrence. A per-claimant retention on a class action can be financially devastating.
Liability for Agentic AI: When Autonomous Systems Make Decisions
Agentic AI systems operate with minimal human oversight. They execute multi-step tasks, interact with external systems, and make decisions that affect real-world outcomes. A supply chain AI that autonomously reroutes shipments, cancels orders, or adjusts pricing creates liability exposure that traditional E&O forms were never designed to address.
The core question for agentic AI coverage is whether the policy treats the AI's autonomous decision as an act of the insured. Some forms require a "human in the loop" for coverage to attach. Others extend coverage to autonomous outputs as long as the insured designed, deployed, or maintained the system. If your business uses agentic AI, this distinction is the single most important coverage question on your renewal.
The gap between a basic crime policy and a comprehensive fraud protection program is significant. The table below highlights key differences.
We start with a twenty-minute call to walk through your contracts, your draw process, your tech stack, and the last twelve months of attempted fraud. From there we go to market with ten-plus carriers, benchmark terms side-by-side, and present the options in plain language with recommended limits and retentions. Most intakes get indicative terms within one business day.
This comparison illustrates why a general liability policy, even one with a broad "personal and advertising injury" grant, will not respond to a regulatory proceeding. The coverage must be placed specifically under a cyber or technology E&O form that includes regulatory defense as a named insuring agreement.
| Coverage Feature | Basic Crime Policy | Comprehensive Cyber with Fraud Coverage |
|---|---|---|
| Computer Fraud | Typically included | Included |
| Social Engineering | Optional endorsement, low sublimit | Included, higher sublimits available |
| Push Payment Fraud | Often excluded | May be covered as separate grant |
| Account Takeover | May fall under computer fraud | Explicitly covered |
| Forensic Investigation | Not covered | First-party expense coverage |
| Legal and Regulatory Costs | Not covered | Included |
| Callback Verification Required | Yes, strict condition | Yes, but terms vary by form |
| Typical Sublimit Range | $100K - $250K | $250K - $1M+ |
R&W retentions function similarly to a deductible but are typically structured as a percentage of enterprise value. A common retention for mid-market deals sits between 1% and 3% of the transaction value. On a $50 million deal, that means the buyer absorbs the first $500,000 to $1.5 million of covered losses before the insurer pays anything. The retention exists because underwriters expect the buyer's own diligence to catch smaller issues. Retention levels are negotiable and vary by carrier, deal size, and the quality of the diligence package presented during underwriting.
How Retention Works as a Deductible
The Transition from Retention to Drop-Down Coverage
Most R&W policies include a drop-down feature that reduces the retention, often by half, after a specified period, typically 12 months post-closing. If the original retention is $1 million, it drops to $500,000 after the first year. This mechanism reflects the assumption that the most significant breaches surface early. The reduced retention in the later period provides the buyer with more accessible coverage for claims that emerge after the initial post-closing adjustment period. Some policies offer a full drop to zero retention after 18 or 24 months, though this depends on the specific terms negotiated with the underwriter.
| Area | SOC 2 Requirement | Typical Cyber Insurance Requirement |
|---|---|---|
| Multi-Factor Authentication | Required under Security criterion for logical access | Required on all remote access, email, and admin consoles |
| Endpoint Detection & Response | Recommended but not always mandated | Frequently required; some carriers mandate specific vendors |
| Encryption | Required for data in transit; recommended at rest | Required for both in transit and at rest on most applications |
| Incident Response Plan | Required under Security criterion | Required; some carriers want to see tabletop exercise records |
| Backup & Recovery | Covered under Availability criterion | Required with tested restoration procedures |
| Vendor Management | Covered under Confidentiality or Security | Asked about in applications; subcontractor liability coverage may depend on it |
| Employee Training | Required under Security criterion | Required; frequency and phishing simulation results often requested |
A breach-response insuring agreement typically covers the cost of retaining a forensic investigation firm to determine the scope of the intrusion, identify compromised data, and recommend remediation. It also covers breach counsel: attorneys who manage notification obligations, coordinate with regulators, and advise on litigation exposure.
The sequencing matters. Engaging breach counsel first, before the forensic firm, can place the forensic report under attorney-client privilege. This is a practical consideration that affects your litigation posture. Your policy form should not restrict you to a single panel firm if that firm has a conflict or lacks capacity during a widespread event. Bloc Cyber evaluates panel flexibility and pre-approval processes during the placement process so clients are not surprised after an incident.
The Role of Forensic Investigators and Legal Counsel
The difference between these two categories is not academic. A standard professional liability form written for consultants or accountants will contain exclusions that gut coverage for a software company. Technology-specific forms are underwritten with code delivery, SaaS operations, and IT services in mind. The endorsements and exclusion language reflect the actual risk profile of a tech firm.
| Coverage Feature | Standard Professional Liability | Specialized Tech E&O |
|---|---|---|
| Negligent acts/omissions | Covered | Covered |
| Breach of contract (standalone) | Often excluded | Typically included |
| SLA failure claims | Excluded or silent | May be covered depending on form |
| Intellectual property infringement | Rarely included | Usually included |
| Network security liability | Not included | Available as combined form |
| Rectification/mitigation costs | Not included | Available on select forms |
| Defense cost structure | Inside the limit | Inside or outside the limit (varies) |
| Technology-specific exclusions | Broad | Narrower, negotiable |
Comparing AI Coverage Levels and Policy Limits
Policy limits for AI liability vary significantly based on industry, revenue, and the nature of AI deployment. A typical small-to-midmarket Texas company can expect to see options structured in tiers.
| Coverage Tier | Aggregate Limit | Per-Claim Limit | Typical Retention | Regulatory Sublimit |
|---|---|---|---|---|
| Foundation | $1M | $1M | $10K-$25K | $250K |
| Growth | $2M | $1M | $25K-$50K | $500K |
| Enterprise | $5M+ | $2M+ | $50K-$100K | $1M+ |
These figures are illustrative. Actual terms depend on underwriting factors including your AI use case, data handling practices, and claims history. The retention, or self-insured amount you pay before coverage responds, is often more important than the aggregate limit for small and midmarket buyers. A $1M policy with a $100K retention may provide less practical protection than a $2M policy with a $25K retention, depending on your claim frequency expectations.
One common mistake: assuming that a cyber liability policy's technology services coverage automatically extends to AI operations. Many cyber forms now include AI exclusions or sublimit AI-related claims to a fraction of the aggregate. Bloc Cyber's approach is to read the actual policy language, identify where the coverage grant stops, and tell you what that gap will cost before a claim reveals it.
We start with a twenty-minute call to walk through your contracts, your draw process, your tech stack, and the last twelve months of attempted fraud. From there we go to market with ten-plus carriers, benchmark terms side-by-side, and present the options in plain language with recommended limits and retentions. Most intakes get indicative terms within one business day.
| Coverage Element | Commercial General Liability | Cyber Insurance |
|---|---|---|
| Data breach notification costs | Not covered | Covered under first-party |
| Ransomware payment | Not covered | Covered (subject to sublimit) |
| Regulatory defense | Not covered | Covered under third-party |
| Business interruption from cyberattack | Not covered | Covered with waiting period |
| Funds transfer fraud | Not covered | Covered via cyber crime endorsement |
| Third-party lawsuit over data loss | Excluded or severely limited | Covered under third-party liability |
| Technology product failure | Not covered | Covered under Tech E&O |
Most states have not passed explicit statutes declaring regulatory fines insurable or uninsurable. Instead, the question turns on public policy: courts in some jurisdictions hold that allowing insurance to pay a punitive or regulatory fine would undermine the fine's deterrent purpose. New York, for example, has case law suggesting that certain regulatory penalties are uninsurable on public policy grounds. Texas and California courts have taken different positions depending on the type of fine and the regulatory scheme involved.
Your policy form will typically include language stating that fines and penalties are covered "to the extent insurable under applicable law." This shifts the jurisdictional analysis to the time of claim. Bloc Cyber maintains state-by-state fluency in breach-notification triggers and regulatory defense exposure, which matters when your operations span multiple states with different public policy positions on fine insurability.
State-by-State Variations in Public Policy and Uninsurable Fines
Companies with operations in the EU, UK, or Asia-Pacific face additional complexity. GDPR fines imposed by European data protection authorities can reach four percent of global annual revenue. Whether a US-placed policy can respond to a GDPR fine depends on the policy's territorial scope, the choice-of-law provisions, and whether the jurisdiction where the fine is imposed permits its insurance.
Many standard cyber forms limit territorial coverage to the United States and its territories. If your company has employees, customers, or data processing activities in Europe, you need a form with international regulatory coverage or a locally admitted policy in the relevant jurisdiction. The cost of getting this wrong is not theoretical: monitor and compliance fees in cross-border enforcement actions can compound rapidly when multiple regulators coordinate investigations.
International Considerations for Multinational Regulatory Risks
Addressing Known Issues and Exclusions
Any issue identified during diligence that is disclosed to the underwriter becomes a known issue and is excluded from coverage. This is a fundamental principle of R&W insurance: it covers unknown breaches, not problems you already know about. Buyers sometimes assume they can disclose a problem and still obtain coverage for it. They cannot. The underwriter will carve out any known matter, and the buyer must negotiate a specific indemnity from the seller or accept the risk. This is where the interplay between your diligence process and your insurance placement becomes critical: thoroughness in diligence improves your coverage, but every issue you find narrows it.
For companies that carry cyber liability or technology E&O policies, this dynamic should feel familiar. At Bloc Cyber, we see a parallel in how cyber insurers evaluate a company's security posture before binding coverage: known vulnerabilities get excluded or trigger higher retentions, just as known issues do in R&W underwriting.
How much does cyber insurance cost for a small firm?
A firm of 10 to 25 attorneys can typically expect premiums in the range of $3,000 to $12,000 annually for $1 million in coverage, depending on practice areas, security controls in place, and claims history. Firms handling real estate closings or M&A work will pay more because of the wire-fraud exposure.
Navigating Regional Compliance in Houston, Dallas, and Austin
Texas does not have a single AI regulatory framework, but the industries concentrated in each metro area create distinct compliance and liability profiles.
Houston: Energy and Healthcare AI Risk Profiles
Houston's energy sector uses AI for predictive maintenance, reservoir modeling, and pipeline monitoring. Errors in these systems can cause physical damage, environmental liability, and regulatory penalties from the Texas Railroad Commission and EPA. Healthcare organizations in the Texas Medical Center deploy AI for diagnostics, treatment recommendations, and billing. HIPAA intersects with AI liability when a model's output leads to a privacy violation or a misdiagnosis claim.
Energy and healthcare AI deployments typically require higher limits and broader regulatory defense coverage. The retention structure should account for the possibility of multi-agency investigations, where a single AI failure triggers both state and federal inquiries.
Dallas and Austin: Fintech and SaaS Liability Trends
Dallas's financial services corridor and Austin's SaaS ecosystem face AI liability driven by consumer-facing applications. Fintech companies using AI for underwriting, fraud detection, or customer service are exposed to CFPB enforcement actions and state attorney general investigations. Austin SaaS companies embedding AI features into their platforms face contractual liability when those features produce errors that harm their customers' end users.
The contractual dimension is often overlooked. If your SaaS agreement includes an indemnification clause for AI-generated outputs, your AI liability policy needs to respond to contractual liability, not just tort claims. Many standard forms exclude contractual liability unless specifically endorsed.
We start with a twenty-minute call to walk through your contracts, your draw process, your tech stack, and the last twelve months of attempted fraud. From there we go to market with ten-plus carriers, benchmark terms side-by-side, and present the options in plain language with recommended limits and retentions. Most intakes get indicative terms within one business day.
FAQ: Does my general business insurance cover hacking?
Almost certainly not. Standard CGL and BOP policies contain electronic data exclusions. Even if your policy has a small "data breach" endorsement, it is typically capped at $50,000 to $100,000, which will not cover a meaningful incident. A standalone cyber liability form provides the breadth and limits required for a real claim.
FAQ: How does a consent order affect my future premiums?
A consent order signals increased risk to underwriters. Expect premium increases at renewal, potentially 25 to 100 percent or more depending on the severity of the order and your compliance track record. Some carriers may decline to renew entirely if the consent order reveals systemic compliance failures.
Law firm cyber coverage is not a commodity product you can purchase by checking a box on a general liability application. The risks are specific: trust account fraud, privileged document exposure, deal data theft, multi-state notification obligations, and business interruption measured in lost billable hours. Your policy needs to reflect those risks at the insuring-agreement level, with sub-limits and retentions that match your actual exposure.
Do not wait for a breach to discover that your social engineering sub-limit is $100,000 on a $1.2 million wire or that your business-interruption waiting period is 24 hours when your systems were down for a week. If you are purchasing your first cyber policy or renewing an existing one, have a specialist review the actual policy form with you. Bloc Cyber's practice is built entirely around cyber, technology E&O, and AI liability placement. You can
request a coverage review to have a specialist walk through the insuring agreements, sub-limits, and exclusions specific to your firm's risk profile before you bind.
Matching Limits to Client Contract Requirements
Most enterprise contracts specify minimum E&O limits, commonly $1 million per claim and $2 million aggregate. Government contracts and healthcare clients often require $5 million or higher. Your policy limits should match or exceed the highest contractual requirement you carry, because a limit that falls short leaves you personally exposed for the difference.
If you are bidding on contracts with $5 million indemnification clauses, carrying $1 million in coverage creates a gap that no amount of contract negotiation will fully close. Review your largest three to five client contracts annually and adjust your limits accordingly.
Frequently Asked Questions About AI Liability
Does my existing tech E&O policy cover AI hallucination claims? It depends entirely on the policy form. Many tech E&O policies now include AI exclusions or limit coverage to human-directed professional services. You need to read the definitions section of your current form to know.
How much does AI liability insurance cost for a small Texas company? Premiums vary based on revenue, AI use case, and claims history. A 50-employee company deploying customer-facing AI might see annual premiums ranging from $3,000 to $15,000 depending on limits and retention.
Is AI liability insurance required by Texas law? No state mandate exists as of 2026. However, contractual requirements from enterprise customers, investors, and regulatory expectations are making it a practical necessity for many companies.
What is the difference between AI E&O and algorithmic bias coverage? AI E&O responds to errors in AI-generated outputs. Algorithmic bias coverage specifically addresses claims of discriminatory outcomes from automated decision-making. Some policies bundle both; others offer bias coverage as a separate endorsement.
Can one policy cover both cyber liability and AI liability? Some carriers offer combined forms, but the AI coverage in bundled cyber policies is often sublimited or narrowly defined. A standalone AI liability policy or a specifically endorsed tech E&O form typically provides broader protection.
Do I need AI coverage if I only use third-party AI tools, not my own models? Yes. If you deploy a third-party AI system in your operations and its output harms a customer or triggers a regulatory action, you are the party facing the claim. The AI vendor's liability to you is a separate contractual question.
We start with a twenty-minute call to walk through your contracts, your draw process, your tech stack, and the last twelve months of attempted fraud. From there we go to market with ten-plus carriers, benchmark terms side-by-side, and present the options in plain language with recommended limits and retentions. Most intakes get indicative terms within one business day.
| Coverage Element | Commercial General Liability | Cyber Insurance |
|---|---|---|
| Data breach notification costs | Not covered | Covered under first-party |
| Ransomware payment | Not covered | Covered (subject to sublimit) |
| Regulatory defense | Not covered | Covered under third-party |
| Business interruption from cyberattack | Not covered | Covered with waiting period |
| Funds transfer fraud | Not covered | Covered via cyber crime endorsement |
| Third-party lawsuit over data loss | Excluded or severely limited | Covered under third-party liability |
| Technology product failure | Not covered | Covered under Tech E&O |
Most states have not passed explicit statutes declaring regulatory fines insurable or uninsurable. Instead, the question turns on public policy: courts in some jurisdictions hold that allowing insurance to pay a punitive or regulatory fine would undermine the fine's deterrent purpose. New York, for example, has case law suggesting that certain regulatory penalties are uninsurable on public policy grounds. Texas and California courts have taken different positions depending on the type of fine and the regulatory scheme involved.
Your policy form will typically include language stating that fines and penalties are covered "to the extent insurable under applicable law." This shifts the jurisdictional analysis to the time of claim. Bloc Cyber maintains state-by-state fluency in breach-notification triggers and regulatory defense exposure, which matters when your operations span multiple states with different public policy positions on fine insurability.
State-by-State Variations in Public Policy and Uninsurable Fines
Companies with operations in the EU, UK, or Asia-Pacific face additional complexity. GDPR fines imposed by European data protection authorities can reach four percent of global annual revenue. Whether a US-placed policy can respond to a GDPR fine depends on the policy's territorial scope, the choice-of-law provisions, and whether the jurisdiction where the fine is imposed permits its insurance.
Many standard cyber forms limit territorial coverage to the United States and its territories. If your company has employees, customers, or data processing activities in Europe, you need a form with international regulatory coverage or a locally admitted policy in the relevant jurisdiction. The cost of getting this wrong is not theoretical: monitor and compliance fees in cross-border enforcement actions can compound rapidly when multiple regulators coordinate investigations.
International Considerations for Multinational Regulatory Risks
Addressing Known Issues and Exclusions
Any issue identified during diligence that is disclosed to the underwriter becomes a known issue and is excluded from coverage. This is a fundamental principle of R&W insurance: it covers unknown breaches, not problems you already know about. Buyers sometimes assume they can disclose a problem and still obtain coverage for it. They cannot. The underwriter will carve out any known matter, and the buyer must negotiate a specific indemnity from the seller or accept the risk. This is where the interplay between your diligence process and your insurance placement becomes critical: thoroughness in diligence improves your coverage, but every issue you find narrows it.
For companies that carry cyber liability or technology E&O policies, this dynamic should feel familiar. At Bloc Cyber, we see a parallel in how cyber insurers evaluate a company's security posture before binding coverage: known vulnerabilities get excluded or trigger higher retentions, just as known issues do in R&W underwriting.
Post-Incident Forensic and Legal Obligations
After a SCADA or OT intrusion, you will likely face parallel investigations: your own internal forensic team, your insurer's panel forensics firm, CISA, and potentially your state public utility commission. A coordinated attack on Minnesota water utilities demonstrated how quickly a regional incident can trigger multi-agency scrutiny.
Your policy should not restrict your choice of forensic investigators to a panel that lacks OT expertise. If the form requires you to use a pre-approved vendor, confirm that vendor has ICS forensic capability. The wrong forensic team can miss artifacts specific to industrial protocols like Modbus or DNP3, leaving you with an incomplete investigation and a disputed claim.
How much does cyber insurance cost for a small firm?
A firm of 10 to 25 attorneys can typically expect premiums in the range of $3,000 to $12,000 annually for $1 million in coverage, depending on practice areas, security controls in place, and claims history. Firms handling real estate closings or M&A work will pay more because of the wire-fraud exposure.
Your Next Steps for Securing AI Insurance
Texas businesses building or deploying AI systems face liability exposure that most standard insurance programs do not address. The risks are specific: hallucinated outputs that cause financial harm, biased algorithms that trigger discrimination claims, and autonomous AI decisions that create liability without human intervention. Each of these failure modes requires a distinct coverage grant, and the policy form language determines whether a claim is paid or denied.
The practical step is straightforward. Request a review of your current policy forms to identify where AI-related claims fall outside your existing coverage. Bloc Cyber's specialists read the insuring agreements, exclusions, and sublimits line by line, so you understand exactly what is covered and what is not before a claim forces the question. If you are ready to close those gaps, reach out to discuss your AI risk profile with someone who works in this space every day, not as a side project, but as the entire practice.
ABOUT THE AUTHOR
Caden Braly
— Founder, Bloc Cyber
I'm Caden Braly, founder of Bloc Cyber, the specialty cyber insurance arm of Braly Insurance. I built Bloc Cyber around one idea: businesses deserve coverage that actually responds when a cyberattack happens. I work closely with clients to understand their exposure, place the right policy through specialty carriers, and stand with them through the claim. My goal is simple — give every business straight answers and protection they can trust.
Full profile → caden@bloccyber.com LinkedIn
Industries We Protect
Cyber Coverage Built for Your Industry
Every industry faces a different cyber threat, from patient records in healthcare to wire fraud in construction. Bloc Cyber matches coverage to the risks your sector actually faces, drawing on specialty carriers that understand your business. Find your industry below to see how we protect it.
Healthcare
Banking
Retail / E-Commerce
Legal
Technology / SaaS
Education
Energy / Utilities
Manufacturing
Construction
Defense
Healthcare
HIPAA-grade protection for patient data
725
healthcare breaches disclosed in 2024
HIPAA-grade protection for patient data
▣ Ransomware on EHR systems
▣ PHI exfiltration
▣ Medical device exploits
▣ Business email compromise
Sub-sectors we place
Hospitals and health systems
Physician practices and specialty clinics
Dental practices and DSOs
Behavioral health and addiction treatment centers
Medical billing and revenue cycle management firms
Typical turnaround for indication of terms: 1 business day.
Banking
Coverage that meets FFIEC and NYDFS expectations
$5.9M
average cost of a financial sector breach
Common threats we underwrite against
▣ Wire fraud and BEC
▣ Credential stuffing
▣ Third-party vendor risk
▣ Ransomware
Sub-sectors we place
Community banks
Credit unions
Mortgage lenders and loan originators
Wealth management and RIAs
Payment processors and merchant acquirers
Typical turnaround for indication of terms: 1 business day.
Retail / E-Commerce
PCI-DSS aligned coverage for every checkout
42%
of retailers hit by ransomware in the last year
Common threats we underwrite against
▣ Magecart / card skimming
▣ POS malware
▣ Account takeover
▣ Supply-chain intrusion
Sub-sectors we place
Direct-to-consumer (DTC) brands
Shopify and marketplace sellers
Brick-and-mortar multi-location retailers
Restaurants and QSR franchises
Grocery and specialty food retail
Typical turnaround for indication of terms: 1 business day.
Legal
Privilege, client files, and trust-account safeguards
1 in 4
law firms reported a breach in 2024
Common threats we underwrite against
▣ Wire-transfer fraud
▣ Privileged data theft
▣ Email account compromise
▣ Ransomware
Sub-sectors we place
AmLaw / large firms
Boutique litigation firms
Personal injury and plaintiffs’ firms
Estate planning and trust attorneys
Title and real estate closing firms
Typical turnaround for indication of terms: 1 business day.
Technology / SaaS
SOC 2 and ISO-aligned risk transfer
$4.88M
avg. cost of a SaaS breach in 2024
Common threats we underwrite against
▣ Supply-chain attacks
▣ Cloud misconfiguration
▣ Token and key theft
▣ Zero-day exploits
Sub-sectors we place
B2B SaaS platforms
Managed service providers (MSPs) and MSSPs
Fintech startups
AI and machine learning companies
Cloud hosting and infrastructure providers
Typical turnaround for indication of terms: 1 business day.
Education
FERPA-aligned coverage for student and research data
80%
of K–12 districts hit by ransomware since 2022
Common threats we underwrite against
▣ Ransomware on district networks
▣ Student PII theft
▣ Fake invoice fraud
▣ DDoS on exam platforms
Sub-sectors we place
K-12 public school districts
Private and charter schools
Colleges and universities
EdTech platforms
Tutoring, test prep, and online learning providers
Typical turnaround for indication of terms: 1 business day.
Energy / Utilities
OT and IT coverage for critical infrastructure
24/7
operational-tech monitoring requirements
Common threats we underwrite against
▣ ICS/SCADA intrusion
▣ Nation-state actors
▣ Ransomware on OT
▣ Insider threat
Sub-sectors we place
Municipal utilities (water, electric, gas)
Oil and gas operators
Pipeline and midstream companies
Renewable energy (solar, wind) developers
Electric cooperatives and rural utilities
Typical turnaround for indication of terms: 1 business day.
Manufacturing
Business interruption protection for connected plants
25%
of all ransomware attacks target manufacturing
Common threats we underwrite against
▣ Ransomware halting production
▣ IP theft
▣ ICS exploits
▣ Vendor compromise
Sub-sectors we place
Industrial and heavy equipment manufacturers
Food and beverage processing
Pharmaceutical and medical device manufacturers
Automotive and parts suppliers
Aerospace component manufacturers
Typical turnaround for indication of terms: 1 business day.
Construction
Protection for project files, wires, and jobsite tech
$200K+
average wire-fraud loss in construction
Common threats we underwrite against
▣ Wire-transfer diversion
▣ BEC on project payments
▣ Stolen bid data
▣ Ransomware
Sub-sectors we place
General contractors
Commercial HVAC, electrical, and plumbing subs
Civil and infrastructure contractors
Homebuilders and residential developers
Architecture and engineering (A&E) firms
Typical turnaround for indication of terms: 1 business day.
Defense
CMMC, DFARS, and CUI-compliant risk transfer
CMMC
2.0 compliance required by 2026
Common threats we underwrite against
▣ CUI exfiltration
▣ Nation-state APTs
▣ Supply-chain compromise
▣ Cleared-personnel targeting
Sub-sectors we place
DoD prime contractors
CMMC-regulated subcontractors
Defense software and systems integrators
Aerospace and satellite contractors
Federal IT and cleared staffing firms
Typical turnaround for indication of terms: 1 business day.
The Bloc system
One foundation.
Ten industry-specific builds.
The Bloc mark is built from stackable planes — each one a different angle on the same core structure. That’s how we place coverage: one underwriting discipline, tuned and re-tuned for every industry we serve.
Coverage
A policy you can actually read.
Structured in three clean blocs.
01
First-Party
Your direct losses when an incident hits your business.
✓
Incident response & forensics
✓
Business interruption
✓ Data restoration
✓ Cyber extortion / ransomware
✓ Funds transfer fraud
✓ Reputational harm
02
Third-Party
Your liability to clients, partners, and regulators.
✓
Network security liability
✓
Privacy liability (HIPAA, GDPR, state laws)
✓ Regulatory defense & fines
✓ PCI-DSS fines and assessments
✓ Media liability
✓ Breach notification costs
03
Specialty
Advanced coverages for complex risks and contracts.
✓
Technology E&O
✓
Social engineering fraud
✓ Contingent business interruption
✓ Systems failure
✓ Bricking & hardware replacement
✓ CMMC / regulatory-specific endorsements
Typical limits placed
$1M / $1M starter
$5M / $10M mid-market
$25M+ layered towers
Custom retentions
Common Questions
Cyber Liability Insurance, Explained
What does cyber insurance cover?
Cyber insurance covers the financial losses from a data breach or cyberattack. This includes breach response, legal fees, customer notification, ransomware, business interruption, and regulatory fines, depending on your policy.
Does my business really need cyber insurance?
Yes. Any business that stores customer data, processes payments, or relies on connected systems faces cyber risk. Small and mid-sized companies are frequent targets because they often have fewer defenses.
How much does cyber insurance cost?
Cost depends on your industry, revenue, data volume, and security practices. We market your risk to multiple carriers to find strong coverage at a competitive price. Request a quote for an exact figure.
What is the difference between first-party and third-party cyber coverage?
First-party coverage pays for your own losses, like data recovery and lost income. Third-party coverage pays for claims from others harmed by a breach on your systems.
How fast can I get a quote?
Most clients receive a quote in under 24 hours after we review the details of their business and exposure.
What should I do first after a cyberattack?
Contact us right away. We help you start breach response, connect you with forensic and legal support, and guide your claim so you contain the damage quickly.
Insights
Field notes from the placement desk.
What carriers are asking right now.
Start a quote
Tell us about your business.
We’ll come back with terms.
We’ll review your stack, your contracts, and your exposure — then place the program against the right markets. Most intakes get indicative terms back within one business day.
01
Quick intake
We only ask what the carriers actually need.
02
Benchmark
Side-by-side terms from 10+ specialty cyber carriers.
03
Bind
Plain-language policy review, e-signed and in force.
