ServiceAI SECURITY/ ai-security-audit
AI Security Audit
Threat modeling, prompt injection hardening, data leakage risk, and controls.
Time-to-MVP
2–6 weeks
Integrations
CRM / Ops / API
Quality
Eval + monitoring
Overview
This is for you if…
If AI touches customer data or internal knowledge.
If prompt injection / data leakage is a concern.
If you’re heading into compliance or security review.
Overview
Deliverables
Threat model
Red-team tests
Controls + policy
Overview
Outcomes
Risk map
Threat model + attack surface.
Evidence
Red-team tests + findings.
Controls
Policy + guardrails + monitoring.
Process
Simple 3 steps
01
Discovery
Goals, data, integrations. Short audit + plan.
02
Build
Iterative delivery: prototype → production. Tests + controls.
03
Operate
Metrics, monitoring, drift. Continuous tuning.
FAQ
Short answers
Do you test prompt injection?+
Yes — we red-team and add mitigations and monitoring.
Is this useful for compliance?+
Yes — we document controls and risk areas clearly.
DATA_PARSING_PIPELINE
UNSTRUCTURED_INPUT
STRUCTURED_OUTPUT
Security + quality
Production controls
Logging, alerts, release gates — with documented operation.
Next step
15 minutes — and scope is clear
We’ll send a short checklist, then propose timeline and first metrics.