A Philadelphia healthcare startup deploys a diagnostic AI that misidentifies a condition in 200 patients. A Pittsburgh fintech firm's underwriting algorithm systematically denies credit to applicants in protected classes. An Allentown manufacturer's autonomous quality-control system greenlights a defective batch. Each of these scenarios generates a distinct liability exposure, and none of them fits neatly under a standard general liability or professional liability policy.
Pennsylvania AI liability insurance is still a young market, but the claims are not waiting for the market to mature. The state's guidance on insurers' use of artificial intelligence signals that regulators are paying close attention to how AI decisions affect consumers, and that scrutiny flows downstream to every company building or deploying these systems. If your business touches AI in any meaningful way, the question is no longer whether you need coverage for hallucination errors, bias claims, and agentic AI decisions. The question is how much coverage, structured how, and with what exclusions.
This guide walks through the specific coverage components, policy limits, and risk factors that matter for businesses in Philadelphia, Pittsburgh, Allentown, and across the Commonwealth.
The Evolving AI Liability Landscape in Pennsylvania
Pennsylvania has moved faster than many states in signaling regulatory expectations around AI. The state Insurance Department adopted the NAIC Model Bulletin, which establishes expectations for how insurers govern their own AI systems, including requirements around fairness testing and transparency. While that bulletin targets insurers specifically, it sets a tone: companies deploying AI in Pennsylvania should expect regulators and plaintiffs' attorneys to hold them to similar standards of accountability.
State legislators have also introduced bills that would impose oversight on artificial intelligence in health insurance decisions, a sector where AI errors carry life-or-death consequences. These legislative efforts create a compliance backdrop that directly affects your liability exposure and, by extension, the type of insurance you need.
Why Philadelphia and Pittsburgh Firms Need Specific AI Coverage
Philadelphia's concentration of healthcare systems, legal tech firms, and financial services companies creates a dense web of AI use cases, each with its own regulatory trigger. A patient-facing AI tool that hallucinates a drug interaction is a different animal from a contract-review AI that misreads an indemnification clause.
Pittsburgh's AI and robotics ecosystem has grown into a global hub valued at over $10 billion, supporting more than 100 companies and thousands of engineers. That concentration of AI development activity means Pittsburgh firms face both first-party risks (their own AI outputs causing harm) and third-party risks (clients suing over faulty AI deliverables). Allentown's growing manufacturing and logistics sectors increasingly rely on AI for quality assurance and supply chain decisions, adding physical-world liability to the equation.
General Liability vs. Professional Liability for AI Risks
Your commercial general liability policy responds to bodily injury and property damage. It does not respond to a flawed AI recommendation, a biased algorithm, or a hallucinated output that causes financial loss to a client. That gap is where technology errors and omissions coverage enters, but even a standard tech E&O form may not explicitly address AI-specific perils.
The distinction matters at the policy-form level. A CGL policy's "your product" exclusion can eliminate coverage for software outputs entirely. A tech E&O policy might cover negligent acts in delivering professional services but exclude autonomous decisions made by an AI agent without human oversight. You need to read the insuring agreements, not just the declarations page.
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.
Protecting Against LLM Hallucinations and Output Errors
Core Coverage Components for AI Developers and Users
AI liability coverage is not a single product. It is a set of insuring agreements and endorsements that respond to different categories of AI risk. Understanding these components helps you identify where your current program has gaps.
Protecting Against LLM Hallucinations and Output Errors
Large language models produce confident-sounding outputs that are factually wrong. This is not a bug that will be patched; it is a structural feature of probabilistic text generation. When your customer-facing chatbot provides incorrect medical guidance, inaccurate legal information, or fabricated data, the resulting claims look like professional negligence.
AI hallucination coverage addresses scenarios where generative AI produces misleading or false information that causes a third party to suffer financial loss. A policy form may respond to this depending on how it is written, but you should verify that the definition of "wrongful act" or "professional services" in your tech E&O form explicitly includes AI-generated outputs, not just human-delivered services.
Mitigating Algorithmic Bias and Discrimination Claims
Bias claims represent the fastest-growing category of AI-related litigation. If your hiring algorithm, lending model, or insurance pricing tool produces disparate outcomes along protected-class lines, you face regulatory enforcement actions, class-action lawsuits, and reputational damage simultaneously.
Pennsylvania's AG office has already taken enforcement action against insurers whose automated systems caused unfair outcomes for consumers. That precedent applies to any business using algorithmic decision-making that touches consumers. Coverage for algorithmic bias claims typically sits within a dedicated AI liability endorsement or a standalone policy, and it should include defense costs for regulatory proceedings, not just civil lawsuits.
Managing Autonomous Risks with Agentic AI Decisions Coverage
Agentic AI systems act without a human in the loop. They execute trades, approve transactions, adjust pricing, and make operational decisions autonomously. The liability question shifts from "who programmed it" to "who is responsible when it acts on its own."
This category of risk is driving demand for entirely new insurance structures because traditional E&O forms assume a human professional made the error. Agentic AI coverage addresses the gap by treating the AI system's autonomous decisions as insurable events. If your business deploys AI agents that interact with customers, execute transactions, or control physical systems, this is not optional coverage. It is essential.
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.
Comparison of Coverage Tiers for PA Businesses
The following table outlines three common coverage structures. Your actual policy terms will vary based on the form and carrier, but this gives you a framework for evaluating proposals.
| Coverage Feature | Basic Tech E&O | Tech E&O + AI Endorsement | Standalone AI Liability |
|---|---|---|---|
| Human-delivered service errors | Included | Included | Not typically included |
| AI output/hallucination errors | Often excluded | Included via endorsement | Included |
| Algorithmic bias claims | Excluded | May be sublimited | Full limits available |
| Agentic AI autonomous decisions | Excluded | Excluded or heavily sublimited | Included |
| Regulatory defense costs | Varies | Typically included | Included |
| Typical aggregate limits | $1M - $2M | $2M - $5M | $5M - $10M+ |
| Retention range | $2,500 - $10,000 | $10,000 - $50,000 | $25,000 - $100,000+ |
Most small and mid-market PA businesses fall into the middle column. They need their tech E&O form enhanced with an AI-specific endorsement that covers hallucination errors and bias claims. Companies building or deploying agentic AI systems should evaluate standalone AI liability policies, where the full limit responds to autonomous decision risks without competing against traditional E&O claims.
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 |
Determining Appropriate Policy Limits and Deductibles
Policy limits are not a one-size-fits-all decision. They depend on your revenue, the volume of AI interactions your systems handle, the industries you serve, and the regulatory environment you operate in.
Evaluating Industry-Specific Risk Profiles
A healthcare AI company in Philadelphia faces different exposure than a logistics optimization firm in Allentown. Healthcare AI errors can trigger HIPAA enforcement, state AG investigations, and malpractice-adjacent claims, all of which drive up defense costs quickly. Financial services firms face SEC and CFPB scrutiny on top of private litigation.
Your risk profile should drive your limit selection. A $1 million aggregate may suffice for an internal-use AI tool with limited customer exposure. A patient-facing or consumer-facing AI system that processes thousands of interactions daily may need $5 million or more, particularly if a single algorithmic bias claim could become a class action. Bloc Cyber's approach of reviewing policy forms at the insuring-agreement level helps identify where sublimits or exclusions might leave you underinsured for your specific risk profile.
The Impact of Data Volume on Premium Costs
Underwriters price AI liability based partly on the volume of data your systems process and the number of decisions your AI makes autonomously. A model that processes 10,000 transactions per month presents a different risk than one processing 10 million.
Expect underwriters to ask about your training data sources, your model validation procedures, your human-oversight protocols, and your bias-testing cadence. Companies that can demonstrate formal AI governance frameworks, including documentation of model testing and monitoring, typically secure more favorable terms. Agentic AI systems that operate with minimal human oversight face higher premiums and retentions because the frequency and severity of potential claims increase with autonomy.
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.
Common Questions About AI Insurance in Pennsylvania
Does my existing tech E&O policy cover AI hallucination errors? Probably not without a specific endorsement. Most standard tech E&O forms were written before generative AI became widespread, and the definition of "professional services" may not include AI-generated outputs. Check your policy language.
Is AI liability insurance required by Pennsylvania law? No state law currently mandates AI-specific liability insurance. That said, contractual requirements from clients, investors, and partners increasingly require it, and regulatory enforcement trends make it a practical necessity.
How are premiums calculated for AI liability coverage? Underwriters consider your revenue, the type of AI you deploy, data volume, the industries you serve, your AI governance practices, and your claims history. Companies with documented bias-testing and model-monitoring protocols generally receive more favorable pricing.
Can one policy cover both my AI development work and my clients' use of the AI? A policy form may respond to both first-party and third-party AI risks depending on how it is written. The key is whether the insuring agreements cover "AI services" broadly or only specific activities. This is exactly the kind of form-level detail that matters before binding.
What is the typical claims process for an AI bias lawsuit? The insured reports the claim to the carrier, which assigns defense counsel. Coverage typically includes defense costs, settlements, and judgments, subject to the policy's retention and limits. Regulatory defense costs may be included or sublimited depending on the form.
Do I need separate coverage for each AI model I deploy? Not usually. Most AI liability policies cover the insured's AI operations broadly, but you should disclose all models and use cases during the application process. An undisclosed AI system could give the carrier grounds to deny a claim.
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 |
Your Next Steps for Securing Coverage
Pennsylvania businesses deploying AI face a liability environment that is evolving faster than most insurance programs can keep up with. The gap between what your current tech E&O policy covers and what your AI systems actually do is where claims live.
Three priorities should guide your next steps. First, pull your current tech E&O policy and read the definition of "professional services" and "wrongful act." If those definitions do not explicitly reference AI outputs, autonomous decisions, or algorithmic processes, you have a coverage gap. Second, document your AI governance practices, including bias testing, model monitoring, and human-oversight protocols, because these directly affect your insurability and premium. Third, get a form-level review of any AI liability policy before you bind it. Sublimits, retroactive dates, and exclusions for specific AI architectures can hollow out a policy that looks adequate on the declarations page.
If you are ready to close the gap between your AI operations and your insurance program, request a coverage review with a specialist who will walk through the actual policy form with you, not just hand you a quote. The right time to find out your policy does not respond is before the claim, not after.
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.
