4CRisk’s secure cloud-based AI Platform reduces your cost of compliance while lowering your risk of non-compliance.
Specialized Language Models (SLMs) offer secure and private interactions and analyses with significant advantages for governance, risk, and compliance program teams seeking AI-powered automation.
Safe and Secure Data Environment
Incorporate all principles
Intuitive with coherent Human
in the Loop step
Robust and Compliant
AI TECHNOLOGY Proven yet
Innovative
Seamless Upgrades
Agility and Domain Expertise
Integrations and Feeds
Principle | Explanation and Rationale | How 4CRisk Complies |
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Fairness and Bias Detection | Endeavour to ensure any models/systems are fair and free from harmful bias. Ensure training data and algorithms avoid discriminatory outcomes and comply with laws on accessibility and inclusiveness. | 4CRisk products are designed to ensure zero bias and provide proof of fairness. Our ensemble of language models is pre-trained on a carefully curated corpus of regulatory, risk, and compliance corpora from public domain sources, following a strict data governance and clearance process. Customer data is not used in training our models. Our solutions and AI models can be deployed in a dedicated environment to further enhance privacy and security of business data. |
Fairness and Bias Detection | Endeavour to ensure any models/systems are fair and free from harmful bias. Ensure training data and algorithms avoid discriminatory outcomes and comply with laws on accessibility and inclusiveness. | 4CRisk products are designed to ensure zero bias and provide proof of fairness. Our ensemble of language models is pre-trained on a carefully curated corpus of regulatory, risk, and compliance corpora from public domain sources, following a strict data governance and clearance process. Customer data is not used in training our models. Our solutions and AI models can be deployed in a dedicated environment to further enhance privacy and security of business data. |
Transparency | Strive for AI that can transparently explain its reasoning and decision-making processes. | Our products provide transparent analysis with confidence scores, links to authoritative sources and customer documents, and human-in-the-loop checkpoints. Users are informed through disclaimers that AI is used in the review process. |
Accountability | Establish clear ownership and responsibility for the development, deployment, and actions of your AI. | 4CRisk's product management, ML Ops, and engineering processes establish clear ownership and responsibility throughout the AI lifecycle. Human-in-the-loop reviews and continuous monitoring of AI performance ensure accountability for AI actions and outcomes. |
Security and Safety | Prioritize robust security measures to protect AI systems from misuse and manipulation, model poisoning, theft or reverse engineering. | 4CRisk AI systems are designed for resilience, security, and safety throughout their lifecycle, with metrics demonstrating the effectiveness of controls. Synthetic data is used to protect user privacy during training and analysis, while access controls based on defined roles and responsibilities ensure data security. |
Data Privacy | Privacy values such as anonymity, confidentiality, and control will guide choices for AI models and system design. Adhere to data privacy regulations and implement strong data security with role-based access and audit trails. | 4CRisk adheres to all relevant privacy regulations and standards when handling data for AI development. Robust security measures protect AI systems and business data, which is never used for model training and remains within the four walls of the customer's cloud environment. Access controls based on defined roles and responsibilities, along with comprehensive audit trails, ensure data security and accountability. |
Principle | Explanation and Rationale | How 4CRisk Complies |
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Accuracy, Validity and Data Quality | Acknowledge the importance of high-quality, accurate and continuously validated data to train effective and unbiased AI models. | 4CRisk models prioritize accuracy and are designed to minimize drift. They are pre-trained on regulatory corpora from authoritative sources and undergo continuous validation to maintain data accuracy and relevance over time. Rigorous quality assurance protocols, data cleaning and preprocessing, and performance monitoring ensure high accuracy, validity, and data quality. |
Explainability | Build and deploy AI systems that are understandable and explainable, fostering trust in their decisions. | 4CRisk provides meaningful explanations for AI decisions through confidence scores, visual mappings (Sankey diagrams), and references to source documents. Users can export, filter, and sort information, with the option for human-in-the-loop reviews to challenge any results. |
Robustness, and Reliability | AI systems should perform reliability and as expected, incorporating strong and resilient processes. | 4CRisk products perform in a highly resilient, trusted cloud environment that provides added business resilience, elasticity, and scalability of your infrastructure. Our cloud environments are certified for SOC2. |
Human-centered Design | Focus on designing AI that complements, empowers and augments human capabilities, rather than replacing them. | 4CRisk products are designed by experts in risk, compliance, audit, and governance, leveraging AI to augment human capabilities. Subject matter experts can review and override model predictions, ensuring informed decision-making. |
Human in The Loop | Ensure Humans in the Loop verifies at the appropriate stages of the business process, providing sufficient training as systems evolve. | 4CRisk products incorporate process steps where professionals can verify, collaborate on, and revise AI-generated results to ensure reliability, accuracy, and build trust. |
Safety and Reliability | Prioritize safety measures and build robust AI systems that can handle unexpected situations. | 4CRisk products are built with safety in mind, mitigating risks and preventing unintended consequences. |
Social Benefit and Justice | Ensure your AI applications are designed to address social challenges and improve human well-being and equity. | 4CRisk prioritizes transparency in AI usage, starting with a clear articulation of user needs and public benefits. We offer evaluation tools, ROI models, and thought leadership resources like blogs, e-books, and webinars to educate customers and the broader community about AI. |
Sustainability | Consider the environmental impact of AI development and operation, promoting sustainable practices. | 4CRisk products utilize optimized small language models to minimize energy consumption and maintain a responsible environmental footprint. |
Governance and Regulations | Stay informed about evolving AI governance frameworks and regulations, adapting your strategy, governance, principles, policies, risks and controls accordingly. | 4CRisk teams stay informed about and adhere to evolving AI regulations, adapting our strategies and programs to meet and exceed regulatory requirements as technology and societal expectations change. |
Continuous Improvement | Commit to ongoing monitoring, evaluation, and improvement of your AI strategy, principles, model and use. | 4CRisk prioritizes openness by sharing AI design concepts, training data, and relevant information, while safeguarding personal information, system integrations, and national security interests. |
4CRisk products ensure that AI models adhere to organizational goals and risk tolerances throughout their lifecycle, from selection and development to deployment and maintenance. Our model governance framework defines access controls, versioning, training, data controls, and activity tracking requirements.
4CRisk's Model Governance is a core component of our AI Strategy and Governance framework, which we adhere to internally and share as best practice with our customers. Our model training process involves a meticulous curation of regulatory data, utilizing a robust data governance framework. This framework encompasses various steps, such as evaluating datasets against governance criteria, conducting data clearance, and performing document quality checks, ensuring the highest quality data is used for model training. The data governance process is structured around the following phases of the data lifecycle before model training:
1. Data Clearance and Acquisition: Ensuring data is collected and approved according to established criteria.
2. Pre-processing: Cleaning and preparing data for analysis by addressing missing values, inconsistencies, and formatting issues.
3. Tokenization: Breaking down text data into manageable pieces or tokens for processing by the model. .
In this infographic, we review a framework to show how to extend your organization’s existing Strategy and Governance structures and frameworks to address the specific requirements of Artificial Intelligence regulations, rules, laws and standards as well as AI Products
We have a high degree of confidence in the 4CRisk’s cloud based platform. The technology is based on AWS and Microsoft products. Importantly the stability is very high, and our users are extremely pleased with the ease of use.
- Project Manager, Software Product company
"I’m Aria, the brains behind our AI powered compliance in 4CRisk products. My platform is state of the art, and, unlike other AI products, provides a private large language model curated to each customers needs, in a robust and secure Cloud environment"
We are amazed with the ease and speed of deployment as we worked
with 4CRisk s team and products. We were able to get our environment running in a matter of
hours. Our users found the apps intuitive and easy to start using right away. It's taken 1/4 of the time
- 2 weeks vs 2 months - to go live compared to our traditional deployments.
- Project Manager, Financial Firm
Best practices and ROl for our Platform
Case studies of innovative peer organizations
Demo to dig deep into our AI-powered compliance products
4CRisk is an award winning AI-powered platform for Risk and Compliance professionals