AI Security
Adopt AI with your eyes open.
AI adoption is moving faster than most security programs. TRYGG helps organisations deploy AI deliberately: understanding where models, data and agents create new attack surface, putting proportionate governance around them, and building controls that enable adoption rather than blocking it.
What we deliver
- AI Security Architecture
- Reference architectures for AI platforms, agents and integrations, including identity and data boundaries.
- AI Governance
- Policies, review gates and accountability models for AI use, aligned to ISO/IEC 42001 and emerging regulation.
- Generative AI Risk Assessments
- Structured assessment of GenAI use cases, from copilots to customer-facing agents.
- LLM Security
- Controls for prompt injection, data leakage, model access and unsafe output handling.
- Secure AI Adoption
- Adoption roadmaps that sequence controls with capability, so security lands with the rollout.
- AI Data Protection
- Data classification, retention and boundary controls for training, grounding and inference data.
- Model Access Governance
- Who and what can call which models, with which data, under whose authority.
- AI Threat Modelling
- Threat modelling for AI systems and agentic workflows, mapped to practical mitigations.
- AI Supply Chain Risk
- Assessment of model providers, plugins, MCP integrations and third-party AI services.
- Shadow AI Discovery
- Finding and triaging unsanctioned AI use before it becomes an incident.
Start with a conversation, not a proposal.
Tell us what you are trying to secure. A senior TRYGG practitioner will come back to you — no handoffs, no sales layer.