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Super-Intelligence for Risk, Regulatory, Audit & Compliance

Updated: Feb 26

The Semantic Brain Platform offers Super-Intelligent solutions for Risk, Regulatory, Audit, and Compliance within the realms of

  1. Digital solutions(including applications and infrastructure) development and operations(i.e. DevSecOps, Cybersecurity & AI Security)

  2. Process management


Our platform integrates with top LLMs, such as OpenAI’s ChatGPT and Google’s Gemini, to

  1. Improve the dependability of LLMs

  2. Enable Higher-Order Tasks, where a single prompt results in the execution of multiple tasks. For example, compose a complete report after performing multiple analytical tasks.

  3. Facilitate Super-Intelligent Workflows where a single prompt executes multiple tasks and delegates responsibilities to other users.

Application areas include

  1. Information Security

  2. Privacy

  3. Financial Regulations and Compliance

  4. Government Regulations and Compliance

  5. Financial Risk Management

Present Mode of Operation

  1. The primary data collection and enforcement mechanism is spreadsheets. Online forms, word docs, PowerPoint, and PDFs are often used.

  2. The data gathering, troubleshooting, resolution and enforcement processes are often sequential(i.e. often involve a list of items).

  3. Audit and compliance activities are often performed in the middle or later stages of a project.

  4. Certain projects may require reading and comprehending a significant amount of documentation. For example, implementing Mobile Payments may require

    1. Payment: PCI-DSS compliance

    2. Card/Device: EMVCo, Apple Payments, Android Payments

    3. Payment Networks: Visa, MasterCard, Interac

    4. Accounts and Funds Management: OSFI and Basel

  5. Managing and monitoring security operations and processes often involves handling large amounts of data(mostly unstructured or semistructured data).

Current Problems

  1. Security resources and specialized expertise are frequently either expensive or not available.

  2. Audit and compliance are introduced during the middle and later stages of projects, often leading to rework, resulting in delays and additional costs.

  3. Operations and process management compliance is suboptimal due to the manual nature of work.

  4. Defenders are at a disadvantage because they need to protect all assets, and they think in lists. However, attackers need to find just a single vulnerability, and they think in graphs.

  5. Attackers are increasingly using AI to plan, initiate and scale attacks.

  6. Non-tech professionals(e.g. Security, Fiance) depend on technical professionals to implement controls. For example, adding a single financial rule to a pre-existing framework requires manual development, testing and deployment.

Semantic Brain Solution

The diagram below presents a streamlined logical view of the Semantic Precision element, which contributes to the provision of Super-Intelligence. For clarity, it intentionally omits the internal workflows within Semantic Precision and the interactions between external components. However, it does document the interfaces between Semantic Precision and those external components. To simplify the visual further, the Semantic Shield is not depicted.

LLMs(Large Language Models) and RAG(Retrieval Augmented Generation)

Semantic Brain incorporates state-of-the-art LLMs and RAG to deliver:

  • Semantic Search

  • Single-turn Question and Answer

  • Chat/Multi-turn Question and Answer

  • Task Execution and Content Generation. In addition to improving the reliability of typical LLM tasks, the platform also

    • Enables Higher-Order Task execution

    • Facilitates Super-Intelligent Workflows

  • Sample Code Generation(not a coding platform like GitHub Copilot))

We uniquely integrate generic LLMs (e.g. ChatGPT) with other specialized security and compliance LLMs in a manner that optimizes performance and costs. We also offer LLM fine-tuning services where it is beneficial.

The key benefits here include the following:

  1. Education and training for staff(e.g. developers)

  2. Addressing Security and Compliance during all stages(iterative process) of projects, minimizing rework, thus saving time and money.

Semantic Graph

Semantic Brain has developed the Semantic Graph component by adding functionality to Neo4j(an industry-leading graph vendor).

Enhance LLM and RAG Functionality

We can further improve LLM and RAG performance by integrating graph functionality. This essentially adds a symbolic layer to the neural network, delivering much better performance. Semantic Brain has significantly improved performance by adding graphs in finance and cybersecurity.

Digital Twin

We create a simplified yet more effective Digital Twin to help security professionals think in graphs, enabling them to defend systems better.

BizML for Quantitative AI

BizML enhances the capabilities of Semantic Graph's graph analytics through statistical analysis, boosting precision and enabling earlier predictions. As a tool for Feature Engineering and Selection in Machine Learning (ML), BizML enhances model accuracy by 5% to 20% or reduces error rates by 10% to 50%, while also minimizing the amount of training data needed. Its effectiveness is demonstrated across over 10 projects with 7 clients in sectors such as finance, marketing, and security.

Semantic Agents and Semantic Precision

Semantic Agents are Domain Agents(aka Constrained Agents) that support the functionality mentioned above(LLM, RAG, Semantic Graph, BizML) that are more reliable than their autonomous agents (aka unconstrained agents) counterparts.

Semantic precision is the container that manages Semantic Agents.

Semantic Shield

Semantic Shield is designed to protect Semantic Precision and any other AI. Its core capabilities include:

  1. Role-Based Access Control (RBAC) User Proxy

  2. Protects AI Against: a. Injection of Malicious Prompts b. Breaches of Personally Identifiable Information (PII) c. Exposure of Confidential Secrets

  3. Protects Users from AI

For further details on Semantic Shield, refer to the whitepaper -

Customer and Channel Partner Offerings

Customer Offerings

Semantic Brain retains ownership of the platform and tools it has developed, while customers maintain ownership of their data. Customers are expected to be able to introduce new features and continuously refine them swiftly.


The customer also owns any custom code built on top of the platform.

Channel Partner Offerings

Semantic Brain retains ownership of the platform and tools it has developed, while channel partners maintain ownership of their data. Channel partners are expected to roll out AI-augmented Security, Regulation, Audit & Compliance services to their customers.


The channel partner also owns any custom code built on top of the platform.

Additional References

This video is an overview and demo of Super-Intelligence for Enterprises. While the demo itself is financial services specific, the same set of capabilities can be used in Security, Regulatory, Audit & Compliance.

Interview by AI Partnership Corp. covering topics such as Security and Enterprise Risk Management.

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