For security leaders
Get a defensible, evidence-based picture of AI risk across the organization in weeks, not quarters.
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The Argorix AI Security Assessment
A focused 2–4 week engagement to identify Shadow AI, prompt-injection risk, data-leakage exposure, runtime control gaps, and evidence readiness — with a prioritized roadmap you can act on.
assessment · scope2–4 wksDuration
2–4w
Phases
4
Deliverables
7
How it works
Four phases, one clear outcome
1
Week 1 · Discover
Initial AI inventory
We map AI systems, owners, models, prompts, datasets, and providers across repositories, applications, browser activity, and pipelines to surface Shadow AI.
2
Week 1–2 · Map
Risk map
Each AI system is classified by exposure, data sensitivity, and runtime risk, then linked to owners and relevant control frameworks.
3
Week 2–3 · Test
AI security testing
Adversarial testing for prompt injection, instruction leakage, data exposure, and model manipulation against your real AI systems.
4
Week 3–4 · Report
Prioritized findings & roadmap
An executive report with prioritized findings, mitigation recommendations, and a governance & runtime-controls roadmap to operationalize with Argorix.
Deliverables
Seven concrete outputs
Initial AI inventory
Risk map
AI security testing results
Prioritized findings
Mitigation recommendations
Executive report
Governance & runtime-controls roadmap
Path to continuous Argorix governance
For compliance & risk
Turn assessment findings into reusable evidence and a roadmap mapped to your control frameworks.
Fast to start
A scoped engagement designed to deliver value quickly and flow naturally into continuous governance.
Know your AI risk in 2–4 weeks — then operationalize it.
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