Move fast on models. Prove safety.
Penetration testing tuned to AI platforms, model and inference APIs, AI-generated code patterns, and the diligence questions investors and enterprise buyers actually ask. Compliance-ready evidence on a real timeline.
Why do AI startups need security testing early?
AI startups ship quickly, expose model and inference APIs, and often handle sensitive customer data. Investors and enterprise buyers increasingly expect credible pentest evidence early in the relationship, and AI-generated code can introduce subtle issues that benefit from outside review.
AI company security reality
AI-generated code ships fast and breaks subtly
Velocity is high and review is uneven. Outside testing catches the issues internal reviews are most likely to miss.
Enterprise diligence arrives early
AI vendors face heightened scrutiny on security and data handling, often during the first commercial conversations.
Model APIs are a new and growing attack surface
Inference endpoints, prompt handling, and abuse paths now sit alongside traditional web and API risks.
Common AI platform attack surfaces
Model and Inference APIs
Inference endpoints, prompt and content handling, abuse paths, and surrounding logic.
Platform APIs
Customer-facing and internal APIs including authentication and object-level access.
Web Applications
Customer dashboards, admin tools, and embedded surfaces.
Authentication and Tenancy
Login, MFA, role separation, and multi-tenant isolation paths.
Data Handling and Storage
Customer data exposure paths, training data handling, and storage access.
External Infrastructure
Public DNS, edge services, and exposed admin or operator endpoints.
Where traditional pentesting falls short
Three delivery models, one program
AI-only pentest
Continuous, broad coverage of platform and APIs.
- Speed
- Always on
- Human involvement
- AI agents only
- Outcome
- Continuous validation report
Best for: Recurring validation between annual engagements.
Hybrid AI + human
Senior tester plus AI for diligence-grade depth.
- Speed
- Days, not weeks
- Human involvement
- Senior tester reviews and validates
- Outcome
- Compliance-ready hybrid report
Best for: SOC 2 and enterprise procurement cycles.
Manual pentest
Fully expert-led for high-stakes scope.
- Speed
- Custom engagement
- Human involvement
- Human-led end to end
- Outcome
- Deep manual report
Best for: Critical model platform and tenancy scope.
AI company pentest pricing that fits an early-stage budget
Two clear starting points. Pentest evidence ready for investors, enterprise procurement, and SOC 2.
AI Pentest
$1,500
- Fast turnaround
- Exploit-validated findings
- Web app, model API, and inference endpoint coverage
- Recurring validation as the product evolves
Best for: Pre-Series A and Series A teams that need credible security evidence quickly.
Hybrid (AI + Human) Pentest
Starting at $5,000
Typical AI platform engagements scale with model surface and integration complexity
- AI attack simulation + senior US-based pentester validation
- SOC 2 ready and questionnaire-ready reporting
- Dedicated project manager + private Slack channel
- Free retest included
Best for: Enterprise procurement, SOC 2 cycles, and investor diligence.
AI company use cases
Pre-launch and pre-fundraise testing
Pentest evidence ready for investor diligence and early enterprise conversations.
- Investor-ready summary
- Letter of attestation
- Questionnaire support
Model platform API testing
Targeted testing of inference APIs and surrounding platform logic.
- Abuse and rate limit paths
- Authorization checks
- Prompt and content handling
SOC 2 readiness
Pentest evidence aligned to SOC 2 cycles common among AI vendors.
- Audit-ready report
- Annual + continuous options
- Mapped to control objectives
Continuous AI pentesting
Always-on AI agents validating web and APIs as the platform changes.
- Daily coverage
- Pairs with hybrid
- Recurring validation
Built to support SOC 2 and enterprise diligence
StealthNet supports your security and compliance program. Final attestation is performed by your auditor.
Pentest evidence built for AI velocity
Faster turnaround
Move from scoping to testing in days, not months.
Compliance-ready reports
Formatted for auditors, investors, and enterprise buyers.
Flexible delivery
AI-only, hybrid, or manual depending on the engagement.
Recurring validation
Programs designed for platforms that ship constantly.
AI company pentesting questions
AI company pentesting, by surface and framework
Focused subsections for the AI company pentest variants we ship most often.
AI company SOC 2 pentest
An AI company SOC 2 pentest covers the AI platform, the customer dashboard, the model and inference APIs, and any data ingestion endpoints, with findings mapped to SOC 2 CC6.x and CC7.x controls so your auditor can consume the report directly.
AI company hybrid pentest
Our flagship AI company hybrid pentest pairs continuous AI agents (running across web, API, and external surfaces) with a US-based senior tester who writes the SOC 2 ready report and validates exploitation chains the AI cannot complete on its own.
AI company API pentest
AI inference and orchestration APIs are tested against the OWASP API Top 10 with extra focus on broken object-level authorization (BOLA), tenant isolation, prompt and content handling, and rate limit abuse paths that lead to model misuse.
AI company web app pentest
The customer-facing web app, admin console, and dashboards are tested for OWASP Top 10, business logic abuse, SSO and identity weaknesses, and tenant data leakage. Results integrate cleanly into a SOC 2 readiness package.
AI company external pentest
An AI company external pentest enumerates and exploits the internet-facing perimeter, including model-serving infrastructure, API gateways, and any GPU-backed inference clusters exposed to the public internet.
Ready for a pentest your investors and customers expect?
Talk to the StealthNet team about scoping an AI company pentest aligned to your next release, fundraise, or enterprise deal.