Our Cyber Security for AI service protects your AI systems—from models and data pipelines to integrations and user-facing applications. We assess AI architectures for vulnerabilities, evaluate data quality and integrity, test models against adversarial attacks, and review access controls to prevent misuse. We help organisations implement AI governance frameworks, conduct bias and drift assessments, strengthen model hardening, secure APIs, and monitor AI-driven decision-making. You receive a full AI risk profile, actionable improvements, and continuous assurance to keep your AI systems reliable, secure, and ethically operated.
What the Customer Gets
- AI security risk assessment & model threat analysis
- Adversarial testing & model hardening strategies
- Data pipeline security & integrity validation
- Secure AI architecture & API reviews
- AI governance frameworks & responsible AI controls
- Bias, drift and misuse monitoring
- Continuous AI assurance and improvement recommendation
How We Help Customers
We enable organisations to innovate with AI safely—building trust, reducing risk, and ensuring AI remains an asset, not a liability. Tiered packages:
AI Risk Baseline
- Inventory
- Data flow mapping
- Initial risk assessment
- Model review
AI Security Assurance
- Adversarial tests
- Pipeline validation
- Access reviews
- Bias & drift assessment
- Governance setup
AI Trust & Safety Programme
- Full AI trust framework
- Continuous monitoring
- Secure AI SDLC
- Ethical controls
- Analytics
- Annual certification