Behavox AI Tokyo Summit—The Role of Large Language Models in Compliance and Security

On July 4th, Behavox organized an AI Summit in Tokyo, focusing on the impact of Artificial Intelligence (AI) and Large Language Models (LLMs) in Compliance and Security. 

The summit featured a presentation by Behavox CEO, Erkin Adylov, who explored the intricacies of ChatGPT and various large-scale language models (LLMs), with a specific focus on the distinguishing features of Behavox LLM. The event provided participants with a firsthand experience of Behavox AI’s performance and the capabilities of Behavox LLM in the Japanese language environment.

Key Takeaways from the Summit:

• Large Language Models (LLMs) like GPT and ChatGPT play a crucial role in driving the transformation and revolution in various industries.
• Compliance and Security functions are undergoing significant changes through the adoption of AI-driven technologies.
• The regulatory landscape has shifted away from lexicon-based approaches, and the pace of this shift has accelerated since 2022.
• Behavox LLM offers unique features and capabilities that distinguish it from other LLMs in the market.
• Compliance teams must adhere to the three pillars of model risk management outlined by the Federal Reserve Bank (FRB) and similar approaches adopted by the Financial Services Agency in Japan.
• In an environment where companies are increasingly interested in incorporating AI into their operations, the financial services industry has set stringent acceptance criteria for AI, leading to restrictions on the use of general-purpose AI tools like ChatGPT. Behavox LLM, with its specialized knowledge and domain-specific focus, outperforms general-purpose AI systems in finance and compliance domains, achieving an impressive 84% True Positives detection rate compared to 18%.

One of the primary concerns raised during the event was how to effectively communicate AI-based risk policies to global regulatory bodies. Behavox highlighted that compliance teams should align their AI models, or Lexicon Scenarios, with the three pillars of model risk management: 

1. Conceptual Soundness
2. Outcome Analysis
3. Ongoing Monitoring and Change Management

Moreover, Behavox emphasized the transparency of its approach, assuring attendees that Behavox LLM is not a black box. In fact, Behavox is open to making its models available for auditing purposes by clients and regulatory bodies, promoting trust and accountability in the AI-driven compliance landscape.

Behavox remains committed to empowering businesses with AI-based risk policies, regularly conducting AI 101 Briefings for customers and partners in Japan and other countries. As AI continues to revolutionize industries, Behavox LLM stands at the forefront, offering specialized knowledge, exceptional performance, and a commitment to transparency in the domain-specific application of AI-based risk policies. If you are interested in learning more or participating in upcoming summits, seminars, or roundtable discussions, please visit Behavox’s event page or reach out to [email protected].