OUR SERVICES / AI AND AGENTIC AI SECURITY
AI and agentic AI security.
Secure the data, tools and authority your AI systems actually have.
Other services
THE SECURET METHOD / AI SECURITY
Make autonomous AI actions governable.
Protect the data, identities, retrieval paths and tools that give AI systems real-world authority.
- 01
Discover
Models, agents, data stores and connected tools
- 02
Threat model
Prompt injection, excessive agency and trust boundaries
- 03
Enforce
Identity, authorisation, approvals and tool policies
- 04
Observe
Logs, anomaly signals, evaluations and alerts
- 05
Respond
Contain, revoke, halt and improve controls
Guardrails belong outside the model, with owner accountability and human oversight where risk warrants it.
Illustrative delivery model. Activities are tailored to the engagement scope, environment and risk profile.
WHO THIS IS FOR / BUSINESS CONTEXT
When organisations call us.
Who this is for
AI platform owners, CISOs, product teams and government programmes deploying LLMs, copilots, RAG or autonomous agents.
Common triggers for an engagement include:
- A team is launching a copilot, RAG assistant or internal LLM application
- AI agents will be authorised to call tools or change business records
- Leadership needs clear ownership of AI security risks and evidence
ENGAGEMENT SCOPE
What we examine and design.
Work is proportionate to the system, its operating context and the decisions you need to make.
AI use-case inventory, exposure and trust-boundary review
LLM, RAG and agentic AI threat modelling
Prompt-injection and insecure-output-handling test planning
Tool permissions, scoped agent identities and least privilege
Human approval, policy enforcement, monitoring and kill switch design
Model and supply-chain risk architecture review
AI governance aligned with NIST AI RMF and OWASP guidance
OUR APPROACH
How we deliver.
We trace untrusted inputs, model outputs, data access and agent actions through the full workflow. Security decisions are enforced outside the model.
Standards and platforms
OWASP GenAI Security · NIST AI RMF · ISO/IEC 42001 concepts · ASD ISM
Where we draw the line.
No AI system can be guaranteed immune to prompt injection. Scoped work assesses integration controls and governance; independent model certification is not implied.
See our working methodPRACTICAL ANSWERS
Questions worth asking.
Answers are scoped to the service described here, not guarantees for an individual environment.
Where should agentic AI security controls sit?
Outside the model: identity, authorisation, tool allow-lists, validation, approval, monitoring and emergency stop controls.
Does SecureT help with Microsoft Copilot and enterprise RAG?
Yes. We can assess data access, retrieval boundaries, application integration, identity and policy design for AI-enabled workflows.
CONNECTED EXPERTISE
Related capabilities.
Most security architecture decisions cross more than one domain.
Identity and access management
Make access easier to grant, govern, remove and prove.
Explore service 02 / CAPABILITYApplication security and penetration testing
Authorised testing that developers can turn into concrete fixes.
Explore service 03 / CAPABILITYStrategy and advisory
An achievable target state, investment sequence and accountable decisions.
Explore service