Definitions
An AI risk assessment is a structured review of an organization's AI tools and agents: inventory, data access, capabilities, autonomy, credentials, logging, vendor terms, and governance controls. It is broad and relatively fast, and it produces prioritized findings.
A penetration test is an authorized, simulated attack on specific systems by skilled testers who try to exploit vulnerabilities. An AI red-team exercise applies similar adversarial techniques to an AI application — attempting prompt injection, jailbreaks, data extraction, or misuse of tools.
Comparison
| AI risk assessment | Penetration test / AI red team | |
|---|---|---|
| Question answered | What can our AI access, and are controls in place? | Can this specific system be exploited? |
| Scope | All AI tools and agents across the organization | One application or environment |
| Method | Structured questions, configuration review, rules | Hands-on adversarial testing |
| Typical duration | Hours to days | Days to weeks |
| Finds | Governance gaps, excessive permissions, missing agreements, shadow AI | Exploitable vulnerabilities, bypasses, injection paths |
| Best for | Starting point; ongoing management | High-risk custom AI applications before or after launch |
How they fit together
- Run an AI risk assessment to find and prioritize your AI systems.
- Fix governance and access findings — these are often the fastest risk reductions.
- Commission a penetration test or AI red-team exercise for custom AI applications with sensitive data or high-impact actions.
- Re-assess after major changes and on a regular schedule.
FlashTower performs AI risk assessments. It does not perform penetration testing or intrusive scanning of your systems, and it never tests systems without explicit customer authorization.
When your own AI application needs testing
If you build AI features into your own product — a customer-facing assistant, a retrieval system over customer documents, or an agent with tools — plan for adversarial testing before launch and after significant changes. Useful test areas include direct and indirect prompt injection, cross-tenant data leakage through retrieval, tool misuse and excessive agency, output handling (for example, model output rendered as HTML or executed as code), and denial-of-wallet through runaway usage. The OWASP Top 10 for LLM Applications is a good checklist for scoping.
Frequently asked questions
Does FlashTower replace a penetration test?
No. FlashTower assesses AI risk across your organization from structured information about your AI systems and controls. It does not attempt to exploit systems. Use both where the risk justifies it.
Which should we do first?
Usually the AI risk assessment. It is faster, covers every AI system, and often reveals governance and access issues that should be fixed before paying for adversarial testing.