Pervasive AI: Immense Opportunity, Proportional Challenges

Generative AI has enabled magical new capabilities and captured the imagination of the technology world and beyond.  Since late 2022, companies have spent billions of dollars exploring how these capabilities can transform their businesses.  Tens of thousands of enterprise apps have been built, many of which are quite amazing and inspiring

With this potential opportunity, a core problem has emerged – how does an organization or individual ensure that the AI app they have built is compliant with existing laws and regulations?  For example, if an enterprise software company has built an AI-based productivity app, how can the company ensure that the app does not violate GDPR in various locations – a requirement for world-wide deployment? Unlike “traditional” IT applications (bugs notwithstanding), it is not yet possible to assert that the AI app’s behavior is compliant. This is a direct result of the app being built on a non-deterministic infrastructure. The “QA” process of the AI app cannot be the same as the QA process for a traditionally coded app. The current testing process for AI apps depends primarily on human interaction, which makes it expensive, slow, non-repeatable, and subjective. 

Traditional tools and solutions do not work: Deterministic testing solutions and people-power do not scale to cover the capabilities of AI-based applications.

Relying on Foundation LLMs trained on ALL law and policy is reckless
-A matter of priority and importance: A general model doesn’t know which regulations are “important” vs. billions of data facts it already has.
-Rapid changes in policy, law, standards, etc. are challenging: Rules are changing at an accelerated rate. Retraining LLMs on new rules remains expensive and requires time and expertise.
-Safeguarding proprietary company data is paramount: Companies have private, proprietary rules, policies, and data. Public LLM don't allow for their safe incorporation.
-Relevant business expertise needed: LLMs are generalists. Businesses need AI-based solutions that are trained on the law AND their business.

Verific.ai has two solutions based on their core technologies:

The Breach Reporter: TrustConnector+Analyzer+ExpertBot: For companies in highly regulated industries with strict and costly reporting requirements for cybersecurity breach reporting, we analyze the situation, provide interpretation of next steps, auto-generate documentations and filings.

The Test Framework: TrustConnector+Analyzer+Generator+Adjudicator+ExpertBot: Development-time tool for companies who want to deploy an AI-based solution that has been independently audited against proprietary and required regulations.