Authorized service
AI Security Assessment
AI security assessment focuses on how your application uses models, prompts, tools, retrieval, and authorization. The goal is to validate whether an AI-enabled workflow can be manipulated to expose data, unsafe actions, or weak trust boundaries.
Authorization requirement
This service is delivered only for client-owned or client-administered assets with written authorization, approved scope, and agreed rules of engagement.
Engagement snapshot
What to expect before work begins
- Written authorization for the application, prompts, tools, and supporting systems in scope
- Approved testing environment or controls for production-safe validation
- Context on model providers, retrieval flows, tool permissions, and user roles
Who this is for
- Organizations shipping AI-assisted products or internal copilots
- Teams exposing retrieval, tool-use, or agent workflows to employees or customers
- Businesses needing a grounded review before customer rollout
Required client inputs
- Architecture notes for models, retrieval, tools, and access boundaries
- Representative prompts, workflows, and test accounts
- Known constraints around provider usage, rate limits, and sensitive data
In scope
- Prompt handling, context boundaries, retrieval exposure, and tool permission review
- Agent workflow misuse and unsafe action-path validation within approved limits
- Data handling and authorization assumptions around AI-assisted workflows
Out of scope
- Requests to bypass provider safeguards on third-party systems without permission
- Use of live client data outside agreed validation boundaries
- Public marketing language implying offensive or unsanctioned AI misuse services
Deliverables
- Assessment summary for product, security, and leadership stakeholders
- Technical findings with practical remediation guidance
- Optional retest coverage for approved fixes
Typical timeline
- Focused AI workflow reviews often run 4 to 8 business days after scope confirmation
- Complex agent ecosystems may require staged coverage and separate retest windows
Safe testing safeguards
- Testing is limited to approved workflows and client-owned assets
- Validation avoids unnecessary model abuse volume or unsafe tool execution
- Findings are described in remediation terms rather than sensationalized language
What we do not support
We do not perform unauthorized testing, account access, data extraction, disruption, extortion, spyware, stealth monitoring, or activity outside approved scope.
We do not accept requests to access accounts, collect credentials, evade controls, or bypass a target owner's consent.
We do not position public platform areas as consumer tools for live monitoring, exploitation, or surveillance.
FAQ
Is this the same as red teaming a public model endpoint?
No. The review is focused on your authorized AI-enabled application and the business workflow risks created by its implementation.
Can you assess retrieval and agent permissions?
Yes. Those trust boundaries are often central to AI application risk and can be reviewed when they are in scope.
Next step
Need ai security assessment support?
Share your asset, authorization status, timeline, and desired outcome. We will help determine whether the scope is appropriate and what the next step should be.