Build responsible AI systems aligned with CSOAI standards and global regulations
The CSOAI (Cyber Security for Organizational AI) framework provides comprehensive standards for implementing ethical AI governance across your organization. Our approach ensures that AI systems remain transparent, accountable, fair, and safe while delivering business value.
We help organizations navigate the complex landscape of AI regulation while building AI systems that stakeholders trust and society benefits from.
Make AI decision-making processes understandable to stakeholders through explainable AI (XAI) and clear documentation of model behavior.
Establish clear responsibility structures and audit trails for AI decisions with human oversight and escalation protocols.
Identify and mitigate bias in AI systems, ensuring equitable outcomes across different demographic groups and use cases.
Implement robust safeguards against AI system failures, adversarial attacks, and misuse of AI capabilities.
Our AI Risk Assessment methodology evaluates AI systems across multiple dimensions: model performance, bias and fairness, security vulnerabilities, regulatory compliance, and operational risks. We provide actionable recommendations to strengthen governance.
System Inventory & Audit
Risk Classification
Impact Assessment
Control Design
Monitoring Plan
Continuous Review
Compliance framework for high-risk AI systems with requirements for transparency, documentation, and human oversight aligned with European regulations.
Flexible, principles-based approach to AI governance built around transparency, accountability, and fairness across sectors.
Alignment with US government AI governance requirements for federal agencies and contractors handling sensitive data.
Build responsible AI systems that deliver value and earn stakeholder trust