AI security and privacy consulting on the platforms you use.
Test every agent. Govern every action. Protect every interaction.
Three checks on every agent.
Before launch, at every action, on every answer.
- Before launchRed teaming attacks the agent first, so weaknesses are found before real users do.
- At every actionAgent constraints and human approval keep it inside its permissions, and pause anything consequential.
- On every answerGuardrails check what goes in and out, and the audit trail records every step.
Secure from day one
Six controls for secure AI deployment
UNCODE, an Adelaide AI consultancy, provides AI security and privacy consulting for organisations that handle sensitive information. It designs, configures and tests six controls around your AI agents: red teaming, an MCP gateway, agent constraints, guardrails, human approval and audit trails. Together they limit what an agent can reach and do, and record what it did, on whichever platform you use.
Vendor neutral
Delivered on the platforms you use.
We are a delivery partner, not a platform. The same controls apply whichever AI, integration or cloud platform your agents run on.
The platforms you use
- AI agent platforms
- Integration and API
- Cloud AI services
- Data platforms
- Identity
The same six controls, on every platform
- Red teaming
- MCP gateway
- Agent constraints
- Guardrails
- Human approval
- Audit trails
AI Exposure Assessment
Where is AI already running?
Our AI Exposure Assessment finds it in days. Every AI tool found, approved, unapproved and shadow AI, team by team. High-risk use is dealt with before it becomes an incident.
- Microsoft CopilotAll staff. Approved.
- Meeting note-takerHR. Review.
- ChatGPT, personal accountsSales. Unapproved.
- Custom GPT with client dataCare. High risk.
AI trust, risk and security management
Mapped to Gartner AI TRiSM and the standards your auditors use.
Each control sits on a layer of the AI trust, risk and security management stack.
- Framework familyGartner AI TRiSMGovernance, runtime inspection, information governance and infrastructure, each with its controls.See red teaming
- Application securityOWASP Top 10Red teaming is aligned to the LLM and Agentic Applications lists.See red teaming
- Risk managementNIST AI RMFControls and evidence mapped to the framework your auditors use.See audit trails
- Management systemISO/IEC 42001Approval, guardrails and audit trails mapped to the standard.See human approval
Also mapped to
- OWASP Top 10 for LLM Applications 2025
- OWASP Top 10 for Agentic Applications
- NIST AI RMF
- MITRE ATLAS
- ISO/IEC 42001
- Forrester AEGIS
- EU AI Act
UNCODE's mapping, based on Gartner, Market Guide for AI Trust, Risk and Security Management, February 2025. References, not certifications. Gartner is a registered trademark of Gartner, Inc. and/or its affiliates and does not endorse any vendor, product or service.
AI data privacy and data residency
- In the region you chooseProcessed and stored where your obligations require.
- Enterprise identityManaged identities and Key Vault secrets.
- Never used for trainingYour documents are never used to train a model.
- Agreed before go-liveData location is set with you first.
Reported against the frameworks you follow
We map every control and its evidence to the frameworks your auditors use.
The frameworks are ones we map controls and evidence to, HIPAA among them. They are not certifications held by UNCODE, and UNCODE does not promise compliance. Your own compliance obligations stay with your organisation. Logos belong to their respective owners.
Common questions about AI security and privacy.
Which platforms do you work with?
UNCODE is platform-agnostic. UNCODE delivers on the AI agent, integration and cloud platforms you choose, and applies the same controls across them.
What is AI red teaming?
Simulated attacks on an AI agent, such as prompt injection, data leakage and tool misuse, run before go-live to find weaknesses. We run them before go-live and again when a model, tool or workflow changes.
What is an MCP gateway?
A single controlled point between AI agents and the tools and systems they call through the Model Context Protocol. It applies authentication, policy and logging to every call, whichever platform the agent runs on.
Can an agent change data in our systems?
Only if you allow it. Each agent gets the narrowest access its job needs, and sensitive actions pause for a person.
Where should my AI data live?
That depends on your obligations, so UNCODE agrees data location with you before go-live. Processing and storage stay in the region you choose, and your documents are never used to train a model.
Is UNCODE IRAP-assessed or certified?
No. UNCODE is not IRAP-assessed and holds no security certification of its own. Certifications belong to the platforms UNCODE delivers on, which publish their own. UNCODE designs, configures and tests the controls, and compliance stays with your organisation.
Can AI run in our own cloud environment?
The enterprise AI platform UNCODE delivers on can be deployed in your own cloud or hosted. UNCODE helps confirm licensing, connectors, data location and controls before you commit.
Talk to us about AI security.
Tell us what your agents will touch and our team will walk through the controls, wherever you are.