Inventory
Identify AI applications, copilots, agents, models, vendors, prompts, tools, and owners.
Assess AI security posture with a prioritized action plan.
Token Threat Labs evaluates AI applications, prompts, agent permissions, retrieval paths, control gaps, and owner readiness using synthetic demo data.
Sample report downloaded. This fictional report uses synthetic findings and demo-only data.
Methodology
Six stages from inventory to retest criteria.
Exposure Mapping
Map where AI systems interact with users, files, web pages, APIs, databases, and internal systems.
Attack Testing
Test for prompt injection, prompt hijacking, data leakage, excessive agency, and unsafe output handling.
Control Review
Review access controls, logging, approvals, monitoring, incident response, and deployment gates.
Prioritization
Rank findings by severity, business impact, exploitability, and exposure.
Remediation Plan
Provide synthetic fixes, owners, timelines, and retest criteria.
Example assessment results
Fictional findings grouped by owner and current status.
| Finding | Severity | Owner | Status |
|---|---|---|---|
| Customer support bot accepts instructions from uploaded files | High | AppSec | Open |
| Sales assistant can access internal notes without role checks | High | AI Platform | In Review |
| Agent can send external emails without approval step | Medium | Product Engineering | Open |
| Prompt logs retain sensitive customer text for 90 days | Medium | Security Operations | Mitigating |
| No inventory owner assigned for vendor model integration | Low | Governance | Planned |
Operational gap analysis
Synthetic controls are reviewed across access, logging, approvals, monitoring, incident response, deployment gates, and retest ownership.
- Review missing agent approval steps.
- Confirm retention windows for prompt logs.
- Assign owners to vendor model integrations.
Remediation roadmap
Week 1: inventory cleanupWeek 2: high-risk prompt and tool fixesWeek 3: approval and logging controlsWeek 4: retest and executive readout