Glia's AI Guarantee: A New Standard for Trust in Banking Tech?

NEW YORK, NY – March 12, 2026 – In a move that could set a new precedent for accountability in financial technology, Glia today announced an industry-first contractual guarantee against AI errors for its more than 700 bank and credit union clients. The company is now legally promising that its Banking AI platform will produce zero customer-facing AI “hallucinations” and suffer no impact from malicious “prompt injection” attacks.

This guarantee is not a mere marketing promise but a binding addition to client contracts, a bold step in an industry grappling with the immense potential and inherent risks of artificial intelligence. While many AI vendors offer “guardrails” to mitigate errors, Glia claims its architecture makes such failures a technical impossibility, shifting the landscape of risk management for financial institutions.

“Our platform makes negative impacts from AI hallucinations and prompt injection attacks not just improbable, but actually impossible,” said Justin DiPietro, chief strategy officer and co-founder of Glia, in the announcement. “We’re adding this guarantee to our contracts because that’s how serious we are about this claim. We want them to know they don’t have to jeopardize their organizations to see the benefits of AI.”

The High-Stakes Dilemma of AI in Banking

The adoption of AI in financial services has been a tightrope walk between innovation and caution. The risks, particularly from generative AI, are not theoretical. AI hallucinations—where a model generates false or misleading information with complete confidence—pose a direct threat to a bank's integrity. An AI chatbot could invent a non-existent interest rate, provide faulty financial guidance, or misstate account policies, leading to immediate financial loss, regulatory penalties, and a catastrophic erosion of customer trust.

Equally concerning are prompt injection attacks, a top vulnerability in AI systems. Malicious actors can use carefully crafted inputs to trick an AI into bypassing its safety protocols, potentially exposing sensitive customer data or executing unauthorized actions. For an industry built on security and compliance, these vulnerabilities represent an unacceptable level of risk. Regulatory bodies like the OCC, NCUA, and CFPB are already scrutinizing AI usage, and a single high-profile failure could trigger severe crackdowns and reputational ruin.

“If you use fully generative AI in your customer- or member-facing AI interactions, it’s like putting an open door to your banking core on the front steps of your branch,” DiPietro warned.

Engineering Certainty Beyond 'Guardrails'

Glia's confidence stems from its architectural design, which it starkly contrasts with the prevailing industry approach. Many AI vendors rely on “guardrails”—secondary systems that try to catch and filter inaccurate AI responses after they have been generated. Glia argues this method is fundamentally flawed because it depends on one AI system to police another, effectively transferring the ultimate risk to the financial institution.

Instead, Glia’s platform employs a proprietary approvals framework. It leverages powerful Large Language Models (LLMs) for what they do best: understanding the complex, messy, and varied language of human inquiries, reportedly achieving a 92%+ comprehension rate. However, it critically decouples this input analysis from the output generation. The platform never uses generative AI to “improvise” an answer in real-time.

This means that while the AI can understand a customer's question with nuanced accuracy, the answer it provides is drawn from a pre-approved, institution-vetted knowledge base. This distinction between input and output is what Glia claims makes harmful errors “mathematically impossible.” The structure is designed to prevent bad behavior from occurring in the first place, rather than simply trying to detect it.

“Guardrails are designed to make you feel safe, but it’s like driving a car without a seat belt," said Dan Michaeli, CEO and co-founder of Glia. “Generative AI has infinite potential — that’s what makes it so powerful, but also dangerous. One percent risk in an environment of infinite possibilities still equals infinite risk.”

A New Bar for Vendor Accountability

By embedding its promise in a legal contract, Glia is challenging the status quo of vendor accountability. The guarantee effectively shifts liability for specific AI failures from the financial institution back onto the technology provider. For risk-averse banks and credit unions, this could be a game-changer, dramatically simplifying the due diligence and risk assessment process for AI adoption.

The move appears to be resonating with clients. Adam Goetzke, director of banking services at Heritage Federal Credit Union, praised the platform's reliability. “I anticipated substantial maintenance for the first six months because you have thousands of inquiries coming in with various types of people expressing it in a wide variety of ways,” he noted. “But that really hasn’t been the case at all.”

This contractual assurance could force competitors to re-evaluate their own offerings. As financial institutions increasingly demand stronger guarantees and clearer lines of liability, vendors relying solely on the promise of guardrails may find themselves at a competitive disadvantage. Glia is betting that in a high-stakes industry, demonstrable safety and legal assurance will become the new standard for entry.

A Foundation of Comprehensive Security

Glia emphasizes that its new guarantee is the capstone on a multi-layered security foundation built specifically for the rigorous compliance standards of the financial world. This broader security stack is designed to address the full spectrum of data protection and privacy concerns.

Key features include the automated redaction of Personally Identifiable Information (PII) at the source to prevent it from ever being stored or exposed, true end-to-end encryption for data in transit, and strict policies against sharing PII with third parties for testing or development. The platform also incorporates automatic virus and malware scanning for all attachments and undergoes continuous third-party auditing, including for PCI DSS and ADA WCAG compliance, to ensure its security measures remain ahead of evolving threats and regulations.

“We built our AI platform for banking — so it matches the high stakes, highly regulated and relationship-driven nature of the industry,” Michaeli stated. As the financial sector moves from tentative AI pilots to full-scale implementation, Glia’s bold guarantee may prove to be the catalyst that turns deep-seated caution into confident adoption.