Discover
Inventory models, applications, agents, datasets, knowledge sources and tool endpoints; identify unregistered use.
Sovereign trust
Discover AI systems, inspect their supply chain, test behaviour, enforce runtime policy and retain evidence inside the operational boundary you define.
Status: Roadmap. Availability, release terms and supported deployment conditions will be published as dated capability records before the status changes.
Core capabilities
Exact coverage, deployment requirements and limitations are documented for the selected version and use case.
Inventory models, applications, agents, datasets, knowledge sources and tool endpoints; identify unregistered use.
Examine model artefacts, repositories, dependencies and tool integrations for unsafe behaviour and supply-chain risk.
Test models and applications for prompt injection, jailbreaks, data extraction, privacy failures and unsafe tool use.
Apply policy to prompts, retrieved content, responses, code, URLs and tool actions; allow, block, redact or escalate.
Retain policies, evaluations, decisions, events and reports so governance and security teams can review the lifecycle.
Product boundary
AI Guard spans applications, models, assistants, tools and data interfaces. Framework mappings can organise evidence, but are not certifications or legal guarantees.
Adoption outcome
Begin with an inventory and defined risk scenarios, then establish evaluation, release and runtime controls appropriate to the use case.
Sovereignty matrix
Product-specific answers are established through the deployment architecture and dated evidence record.
Connected capabilities
A practical first step
Begin with an inventory and defined risk scenarios, then establish evaluation, release and runtime controls appropriate to the use case.