360 AI : Leverage AI securely

Artificial Intelligence (AI) represents an opportunity to drive business growth, improve operational efficiency, and open up new possibilities. However, careless implementation can turn this opportunity into a minefield. Unsecured vulnerabilities can become entry points for pirates, and compliance errors with regulations such as the AI Act, the Data Act, GDPR, NIS1 and 2, DORA, or the Cyber Act can expose your company to financial sanctions and damage to its reputation.

The Framework 360 AI guides you to fully harness the potential of AI while avoiding these pitfalls. It is more than just a tool: it is a strategic plan to ensure that AI becomes a sustainable and secure growth driver for your business, while maintaining full compliance with the highest standards.

 

AI Risks in Cybersecurity

1. Technical Risks and Vulnerabilities: AI models, while powerful, are exposed to flaws. Adversarial attacks can exploit weaknesses in algorithms to cause errors or access sensitive information, compromising infrastructure security. Example: In a European bank using AI for credit scoring, an attacker can manipulate input data to distort results or conceal fraudulent transactions.
2. Regulatory and Compliance Risks: Companies must navigate a complex regulatory landscape. Laws like GDPR and the AI Act impose strict rules on data use and algorithm transparency. Any deviation can result in financial penalties and damage to the company’s reputation.
3. Reputation Risks: Biases integrated into AI models or unfair decisions can tarnish the brand image. A poorly calibrated model that discriminates or produces erroneous results exposes the company to public criticism and a loss of trust.
4. Data Management: Protecting data is a major challenge. Whether it is training models or analyzing results, sensitive data must be protected against leaks or unauthorized exploitation. Example: A financial institution uses an AI model to analyze millions of banking transactions to detect anomalies and potential fraud. These transactions contain sensitive personal information that must be handled confidentially to comply with regulations.

 

The Framework 360 AI: Your Comprehensive Solution for AI Management

To overcome these challenges, the Framework 360 AI offers a structured and complete approach to managing AI projects. This framework covers all aspects, from governance to risk management, through deployment and legal compliance, thus ensuring the security, compliance, and performance of AI systems.

 

What Sets the Framework 360 AI Apart

• 12 Distinct Modules: Each module addresses a critical aspect of AI project management, covering areas such as governance, technical risk management, compliance, and system end-of-life.
• 67 Tasks: The framework includes a comprehensive set of tasks spread across multiple cycles, ensuring meticulous management of risks, technical performance, and ethical issues.
• Modular and Cyclical Structure: The framework is designed to be flexible and adaptable, enabling systematic management of each phase of the AI project.

 

The Benefits of the Framework 360 AI

• Enhanced Security: Protects AI systems from technical risks and vulnerabilities, ensuring the security of infrastructures.
• Regulatory Compliance: Ensures compliance with complex legal frameworks such as GDPR and the AI Act, avoiding financial penalties and reputational damage.
• Reputation Protection: Ensures transparency and ethics in AI models, preventing reputation risks.
• Improved Efficiency: Optimizes AI project management, reducing costs and improving overall performance.

 

The Modules of the Framework 360 AI

1. Governance, Risk, and Compliance (GRC): Defines clear roles and data management policies, ensuring AI models comply with ethical standards.
2. Technical Risks: Identifies technical vulnerabilities, such as adversarial attacks and system failures.
3. Reputation Risks: Prevents reputational risks through transparency and ethics in AI models.
4. Machine Learning Development: Establishes best practices for developing machine learning models, ensuring data security and quality.
5. Technical Stack: Manages the technical infrastructure necessary for developing and deploying AI projects.
6. System Monitoring and Control: Ensures continuous monitoring to prevent anomalies and guarantee optimal performance.
7. Model Deployment: Ensures that models are securely deployed in environments that follow best security practices.
8. End-of-Life (EOL): Manages the end-of-life of AI systems, ensuring a secure transition.
9. Risk Assessment: Covers risk evaluation throughout the AI system lifecycle.
10. European Legal Risks: Focuses on legal risks specific to Europe, ensuring compliance with laws such as GDPR.
11. Interdependencies: Ensures cohesion between all components of the AI project.
12. AI-Specific Compliance: Ensures that AI systems adhere to ethical guidelines.

 

The Cycles and Tasks of the Framework

The Framework 360 AI is based on a modular and cyclical structure, covering each phase of AI projects. Some of these cycles include:

• Design, Data, and Models: Ensures ethical compliance of models from the initial design phase.
• Algorithm Development: Ensures the robustness and security of developed algorithms.
• Data Management: Manages the collection, protection, and archiving of data.
• AI System Impact Assessment: Assesses the impact of AI systems on users and society.
• TEC (Transparency, Explainability, Contestability): Ensures transparency and explainability of AI systems.
• Organizational Roles and Responsibilities: Defines roles for coordinated management of AI projects.
• AI System Development and Governance: Ensures rigorous governance throughout the lifecycle.
• Regulatory Compliance and Monitoring: Ensures continuous compliance with regulations.

 

Conclusion

The Framework 360 AI revolutionizes the management of AI projects, offering a comprehensive approach to navigating AI-related risks and challenges. By covering every critical phase of development and deployment, this framework ensures the security, compliance, and performance of AI systems from design to end-of-life.

Join the forward-thinking organizations that have adopted the Framework 360 AI and transform your strategy today.