G|AI Works G|AI Works

Reference engagement

AI Attack Surface & Threat Modeling

Identify weak points in AI-enabled systems and design defenses that hold up in production.

Scope a similar engagement

// Delivery pattern

This page describes a representative engagement of this shape — how the system is scoped, built, and handed over. Specific figures reflect typical outcomes of the pattern when delivered with the operational discipline described on the About page. Named customer engagements are shared under NDA on request.

Engagement shape

Typical outcomes

  • Reduced exposure
  • Clear security controls
  • Audit-ready documentation

Stack

  • Threat modeling
  • Access control
  • Logging & redaction
  • Policy enforcement

Typical timeline

2–3 weeks

kick-off to handover

Risks & guardrails

  • Security by prompt is not security — enforce controls in code and policy layers
  • Scope creep in threat model — timebox to critical flows first, then extend

Problem

AI systems expand your attack surface: new inputs, new tool calls, new data paths, new failure modes. Many teams ship fast but lack a structured security model, leading to leakage risk, unauthorized actions, and brittle controls.

Solution

We run a practical AI threat-modeling process:

  • Map trust boundaries, tool permissions, and data flows
  • Identify abuse paths (prompt injection, data exfiltration, privilege escalation)
  • Define concrete controls (allowlists, least privilege, validation, monitoring)
  • Produce an audit-ready security plan with prioritized fixes

What we implement

  • Threat model and security requirements for critical flows
  • Tool authorization layer (who can do what, under which conditions)
  • Data boundary controls (redaction, minimization, retention)
  • Logging that supports incident response without leaking sensitive data

Measurement (typical)

  • Coverage of critical flows with explicit controls
  • Reduced risky tool calls via allowlists and gating
  • Clear incident playbooks and measurable alert signals

Risks & guardrails

  • Avoid “security by prompt”: enforce controls in code and policy layers
  • Assume hostile inputs: validate and sanitize consistently
  • Keep logs safe: redact PII/secrets and restrict access

CTA

If you want a clear picture of your current risk and a prioritized hardening plan, request an AI Security Audit.

Scope a similar engagement

Does this pattern fit your situation?

Tell me the system you're trying to integrate and the outcome you're measured on. You'll get a clear next step — a readiness audit, a prototype plan, or a delivery proposal.