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Align AI Innovation with Security, Governance, and Trust
We help organisations align with leading AI governance and security standards to ensure trustworthy, compliant, and resilient AI operations.
NIST AI RMF Manage AI Risks Proactively
NIST AI RMF Manage AI Risks Proactively
The NIST AI Risk Management Framework helps organisations identify, assess, and manage risks associated with AI systems throughout their lifecycle.
Value: Improved AI governance, reduced operational risk, and responsible AI adoption.
ISO/IEC 42001: Build a Trusted AIMS
ISO/IEC 42001: Build a Trusted AIMS
ISO/IEC 42001 provides a structured framework for establishing, implementing, and improving an Artificial Intelligence Management System (AIMS).
Value: Stronger AI oversight, operational consistency, and regulatory readiness.
EU AI Act: Prepare for Emerging AI Regulation
EU AI Act: Prepare for Emerging AI Regulation
The EU AI Act establishes legal requirements for the development, deployment, and use of AI systems based on risk classification.
Value: Reduced regulatory exposure and improved compliance readiness for AI-driven operations.
OWASP Top 10: Address Security Risks in Generative AI
OWASP Top 10: Address Security Risks in Generative AI
The OWASP Top 10 for Large Language Model Applications identifies the most critical security risks affecting AI and generative AI applications.
Value: Improved protection against prompt injection, data leakage, insecure outputs, and AI-specific threats.
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