Compliance is our engine.
Trust is our product.

The international standard for AI Management Systems.

• AI policy and governance structure
• Risk assessment and impact evaluation
• AI system lifecycle management
• Transparency and explainability

Who: Any organisation deploying AI — globally recognised

Guidance on AI Impact Assessment — a structured methodology to evaluate risks and societal impacts of AI systems before and during deployment.

• AI system impact scoping
• Stakeholder consultation framework
• Societal risk identification
• Mitigation measure documentation

Who: Organisations deploying AI with societal impact

The European Union's comprehensive AI regulation.

• Risk tier classification (minimal to unacceptable)
• High-risk system requirements (Annex III)
• Conformity assessment documentation
• GPAI model obligations

Who: Any AI company operating in or selling to EU customers

NIST AI Risk Management Framework — a voluntary framework for managing AI risks across four core functions: Govern, Map, Measure, and Manage.

• AI Govern: accountability and culture
• AI Map: context and risk identification
• AI Measure: analysis and evaluation
• AI Manage: prioritise and act

Who: US enterprises, global companies targeting US market

AICPA's Trust Service Criteria covering Security, Availability, Processing Integrity, Confidentiality, and Privacy for AI systems and their underlying infrastructure.

• Security: access controls and monitoring
• Availability: uptime and incident response
• Confidentiality: data protection
• Privacy: personal data handling

Who: AI SaaS vendors, enterprise IT, financial services

India's Digital Personal Data Protection Act 2023.

• Data Fiduciary obligations and consent requirements
• Data Principal rights (access, correction, erasure)
• 30-day DSR response deadline management
• 72-hour breach notification timeline

Who: Any organisation collecting or processing Indian citizen data

Reserve Bank of India's Framework for Responsible and Ethical Enablement of AI — guidance for banks, NBFCs, payment systems, and financial service providers deploying AI.

• AI governance and accountability in BFSI
• Model risk management for credit AI
• Customer fairness and explainability
• Regulatory reporting for AI systems

Who: Banks, NBFCs, payment companies, fintechs regulated by RBI

Ministry of Electronics & Information Technology AI guidelines and the National Data Governance Framework.

• Responsible and trusted AI principles
• Data localisation and sovereignty
• AI transparency for public sector
• National AI strategy alignment

Who: Government agencies, public sector, enterprises with G2B mandates

Information Security Management System standard — foundational security controls that underpin AI compliance.

• Access control and identity management
• Cryptography and key management
• Incident response and business continuity
• Supplier security for AI API providers

Who: All organisations — foundation for enterprise security reviews