Applications evolve independently, support multiple AI models and adapt UX and workflows quickly.
Users and organisations determine where applications run and which AI providers they use.
User behaviour, AI responses, latency, errors and business KPIs are measurable and traceable.
Role-based access, workflow controls, policy enforcement and human-approval processes.
Protection of prompts, conversations, personal data and consent handling in applications.
APIs, MCP servers and connectors are modular and interchangeable without breaking the ecosystem.
Control over which systems, APIs and external AI services may integrate.
Monitoring of API calls, tool use, orchestration flows, failures and dependency health.
API authentication, authorisation, rate limiting, governance policies and audit trails.
Minimisation and protection of sensitive data flowing through integrations and tool calls.
Models, vector databases, orchestration frameworks and AI pipelines are interchangeable.
Ownership and control over datasets, models, embeddings and the locations of training and inference.
Monitoring of model quality, hallucinations, drift, token usage, costs and AI performance.
Model governance, dataset controls, compliance policies, lineage and AI risk management.
Protection of PII, sensitive embeddings, training data leakage and inference confidentiality.
Containerised, modular runtime platforms that support hybrid and multi-cloud deployments.
Control over runtime environments, Kubernetes clusters, operating systems and cloud dependencies.
Monitoring of infrastructure health, workloads, containers, logs, traces and runtime metrics.
Identity management, secrets handling, patching, workload isolation and platform compliance.
Isolation of workloads and safe handling of sensitive runtime data and memory.
Hardware scales and evolves across GPU generations, cloud, edge and on-prem environments.
Physical ownership or control over compute, storage, network and geographic infrastructure location.
Monitoring of power, thermals, GPU utilisation, storage, network throughput and hardware failures.
Physical security, hardware trust, secure boot, network segmentation and infrastructure policies.
Protection of physical data storage, secure deletion and prevention of unauthorised access.