Protect Your Data with Comprehensive AI Guardrails
Our AI Factory implements 10 essential guardrails that ensure your data is protected, your AI systems are compliant, and your organization follows best practices for responsible AI deployment. These guardrails are built into every aspect of our managed AI backbone, giving you confidence that your AI initiatives are secure and compliant from day one.
Compliance First
Built-in compliance with ISO 27001, CPS 230, and upcoming AI regulations. Every guardrail is version-controlled and maintained by our R&D team.
Data Protected at Source
Sensitive data is anonymised before reaching non-production environments. Private agents and models run under your engineers' identities—no shared service accounts.
Complete Audit Trail
Every AI interaction is logged and auditable. Evidence packs export directly to auditors for immediate compliance coverage.
The 10 Essential AI Guardrails
Governance & Accountability
1. Accountability Process
Establish governance, internal capability, and regulatory compliance strategy with clear ownership and training programs.
2. Risk Management
Identify and mitigate AI risks through ongoing assessments based on stakeholder impact and system usage patterns.
3. Data Governance & Security
Protect AI systems with appropriate data governance, privacy measures, and cybersecurity controls for data quality and provenance.
4. Testing & Monitoring
Thoroughly test AI systems before deployment and continuously monitor for behavior changes or unintended consequences.
5. Human Control & Oversight
Enable meaningful human control and intervention mechanisms across the AI system lifecycle to reduce unintended consequences.
Transparency & User Rights
6. User Disclosure
Inform end-users about AI-enabled decisions, interactions, and AI-generated content to build trust and transparency.
7. Challenge Processes
Provide processes for users and stakeholders to challenge AI use, decisions, outcomes, or interactions.
8. Supply Chain Transparency
Be transparent with organizations across the AI supply chain about data, models, and systems to help manage risks effectively.
9. Record Keeping
Maintain comprehensive records and AI inventory to allow third parties to assess compliance with all guardrails.
10. Stakeholder Engagement
Engage stakeholders to evaluate needs and circumstances, focusing on safety, diversity, inclusion, and fairness.
How We Implement These Guardrails
Our AI Factory actively implements them through our managed platform. Every guardrail is enforced through automated systems, continuous monitoring, and comprehensive audit trails.
You get the benefits of enterprise-grade AI governance without the complexity of building and maintaining it yourself.
Automated Implementation
Built-in Enforcement
Guardrails are automatically enforced through our platform—no manual processes or policy documents to maintain.
Continuous Monitoring
Real-time monitoring ensures guardrails are always active and alerts you to any compliance issues immediately.
Version-Controlled Policies
All guardrail policies are version-controlled and promoted through CI/CD, ensuring consistency and traceability.
Compliance & Audit
Evidence Ready
Automated evidence collection for ISO 27001 and other compliance frameworks.
Regulatory Compliance
As requirements evolve, we update the guardrails.
Stakeholder Engagement
Built-in processes for stakeholder feedback, challenge mechanisms, and continuous improvement based on user needs.