The problems LLM Security Assessment exists to solve.
Agents holding credentials with no identity governance
Prompt injection through documents and retrieved content
Sensitive data leaving the organisation through prompts and logs
Security controls designed for humans and service accounts, not autonomous actors
What is LLM Security Assessment?
SENIOR-LEDThreat model specific to the AI and agent estate
PRODUCTION-READYIdentity, credential and permission design for non-human actors
KPI-DEFINEDInjection defence architecture and testing results
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Before you commit, we help you confirm the use case, check data readiness, define the KPI, and map what LLM Security Assessment could deliver for your organisation.
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How LLM Security Assessment runs.
01
Confirm objectives, stakeholders, constraints and success measures
Review current systems, data, controls and delivery readiness
Prepare the target design, backlog, governance and implementation plan
Test the priority requirements through a prototype, pilot or controlled design review
Configure, integrate, test and deploy the approved solution
Train users, transfer knowledge and establish operating procedures
Monitor adoption, performance, cost, quality and improvement opportunities
What we bring to LLM Security Assessment.
- 01Security engineering specific to large language models and agents
- 02Non-human identity and secrets management
- 03Least-privilege and just-in-time access for agents
- 04Zero Trust principles extended to autonomous actors
- 05Integration of AI telemetry into existing security monitoring
What you get, and what follows
DELIVERABLESThreat model specific to the AI and agent estateIdentity, credential and permission design for non-human actorsInjection defence architecture and testing resultsData-loss prevention controls across prompts, outputs and logsMonitoring integration into security operationsFindings report and remediation plan
BUSINESS OUTCOMESAgents governed as security principals with owners and permissionsDemonstrated resistance to injection and extraction techniquesSensitive data prevented from leaving through AI channelsUnsafe agent behaviour detected operationallyA security position that scales with agent adoption
How we engage on LLM Security Assessment.
INDICATIVE VALUEA$60,000 – A$250,000A guide only. The scoping call confirms the range for your environment, data and compliance obligations before anything is committed.
DELIVERY MODELFixed price or milestone basedDelivered by a senior-led Australian team across 7 stages, from discovery through to optimisation.Discuss scope and timing ›
WHO THIS IS FOR
- Banks, insurers, superannuation funds and professional-services firms
- Government agencies and regulated public-sector bodies
- Utilities, energy and resources operators
- Large enterprises and mid-market organisations undergoing modernisation
What our customers say.
All customer stories"Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.
Finance ManagerGCC Construction Group, Dubai
Finance ManagerGCC Construction Group, Dubai"Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.
Project DirectorTier-One Contractor, Sydney
Project DirectorTier-One Contractor, Sydney"The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.
Commercial DirectorProperty Developer, Dubai
Commercial DirectorProperty Developer, Dubai"Seven subsidiaries of spreadsheets became one governed reporting platform. The executive finally trusts the numbers on the screen.
Group CFOInfrastructure Holding, Riyadh
Group CFOInfrastructure Holding, RiyadhOur partnerships with
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