Safe AI

Safe AI Framework

At CPX, we’ve developed a Safe AI Framework, a practical guide to help organizations deploy AI securely while keeping ethics, transparency and accountability front and center. 

Our framework is built on three key pillars. Click on the wheel to explore each pillar and learn more.

Security & Privacy Considerations

This pillar focuses on enhancing AI model security with robust controls, vulnerability testing, and AI red teaming, while ensuring privacy and regulatory compliance.

Organizational Drivers

This pillar covers developing a clear AI strategy aligned with the overall goals, mission, and vision of your organization, while emphasizing safety, trustworthiness, security and privacy. 

Model Development & Deployment

This pillar focuses on a comprehensive approach towards developing & deploying AI systems through a structured lifecycle approach emphasizing on trust & compliance.

Security & Privacy Considerations

Risk Management

We conduct comprehensive risk assessments to understand your organization's risk landscape brought in by adopting AI and implement mitigation strategies to effectively manage AI-related risks.

Security & Privacy Considerations

AI Infrastructure Security

We secure your cloud AI infrastructure by implementing through the principles of zero-trust, thereby protecting it from potential security breaches, while whilst ensuring resilient performance.

Security & Privacy Considerations

Privacy in AI

We support you with ensuring that privacy principles are applied to PII throughout your AI Data Lifecycle enabling explainability and transparency to your AI consumers.

Security & Privacy Considerations

Model & AI System Security

We help you proactively strengthen your model defenses, focusing on adversarial attack prevention, to protect against sophisticated manipulation techniques and ensure the integrity of your AI systems.

Organizational Drivers

Strategy/Framework

We help develop a clear AI strategy incorporating security and privacy goals, aligned with your organizational objectives, to establish robust governance, drive innovation through R&D, and guide the responsible use of AI within your organization.

Organizational Drivers

Safe AI Commitments

We engage your stakeholders and champion continuous improvement, empowering users and fostering collaboration—ensuring your journey in adopting AI is safe, secure, impactful and sustainable.

Organizational Drivers

Regulatory Compliance Landscape

We conduct comprehensive risk assessments and provide continuous monitoring to ensure your business stays fully compliant with global and regional regulations—so you can focus on growth while we handle the rest.

Organizational Drivers

Structure & Accountability

We help convey the importance of adopting safe, responsible, and ethical AI to secure leadership support and help establish dedicated governance structures, thereby ensuring effective management and oversight of your AI ecosystem.

Model Development & Deployment

AI System Lifecycle

We provide comprehensive management of your AI systems, ensuring security and compliance throughout their entire lifecycle—from development to deployment and beyond.

Model Development & Deployment

Trustworthy AI Principles

We streamline the handling, processing, and management of data such that it remains safe and secure at the core of your AI systems.

Model Development & Deployment

Data Operations

We establish guiding principles to ensure your AI systems are secure, ethical, transparent, explainable, and reliable—building trust and accountability into every layer of your AI strategy.

Model Development & Deployment

Operational Monitoring

We help you architect and integrate robust solutions for continuous oversight of your AI systems to ensure they perform at their best while staying fully compliant with security, privacy, and ethical standards—keeping your AI both effective and responsible.