Map application dependencies
See supported relationships between AI applications, models, data sources, APIs, and tools.
Technology & SaaS AI security
Secure the AI you ship and the AI agents your teams use
Map AI applications, data, and tools across your product stack. Test real application behavior, apply guardrails to supported production interactions, and investigate AI coding agents on workstations where Workstation Lens is deployed.
The challenge
AI changes both the product and the development environment
Customer-facing features and employee AI agents can reach data, APIs, code, and external tools. Security teams need to understand those connections and validate what happens when an input or integration is abused.
The Repello approach
Inventory maps supported application dependencies. ARTEMIS tests connected browser and API workflows for data exposure, prompt injection, and unsafe tool use. ARGUS applies configured policies to supported live interactions. Workstation Lens separately inspects supported AI coding agents on employee workstations where it is deployed.
How Repello helps
Test product AI in context
Challenge connected interfaces and APIs for data exposure, prompt injection, and unintended actions.
Apply runtime policies
Use ARGUS to evaluate supported production interactions against configured guard policies and review their outcomes.
See developer-side AI agents
Where deployed, Workstation Lens identifies supported AI coding agents, skills, and MCP servers on employee workstations.
What Repello gives your team
Keep AI security in step with product delivery
Give engineering and security teams evidence about application behavior, AI agent exposure, and runtime policy decisions.
Find issues before release
- Test the connected product experience rather than a model in isolation.
- Identify demonstrated paths to data exposure or tool misuse.
- Share the attack path and mitigation guidance with the application owner.
Respond as the stack changes
- Retest after material changes to prompts, retrieval, models, or tools.
- Review ARGUS events for connected production interactions.
- Investigate supported AI coding agent files and activity where Workstation Lens is deployed.
Frequently asked questions
Questions technology teams ask.
What parts of a technology company's AI stack can Repello cover?
Inventory maps supported application dependencies. ARTEMIS tests connected applications through a browser or API. ARGUS applies configured policies to supported live interactions. Workstation Lens covers supported AI coding agents on employee workstations where it is deployed. Scope depends on each integration.
Can we test AI features embedded in our product?
Yes. ARTEMIS can exercise supported user-facing interfaces and connected APIs, including multi-turn behavior, retrieval, and tool use. The application owner defines test identities, data, and permitted actions.
Can ARTEMIS assess data separation between customers?
With separate test tenants and controlled records, ARTEMIS can probe a supported application for cross-tenant disclosure. The product must still enforce tenant isolation and access checks at retrieval and API time.
Does Repello also cover AI coding agents used by engineers?
Workstation Lens inspects supported AI coding agents, skills, MCP servers, and related activity on employee workstations where it is deployed. That is distinct from ARTEMIS testing of the product your team builds.
Does ARGUS replace application authorization?
No. ARGUS can apply configured guard policies to supported connected AI interactions. Identity, tenant scoping, API permissions, and final authorization remain responsibilities of the application and its underlying services.
When should we repeat an AI security test?
Retest after a fix and when you materially change retrieval, prompts, models, permissions, or tools. Reusing the same attack objective helps determine whether the original path is closed in the updated workflow.
See Repello in action
Get a personalized Repello demo.
Bring an AI feature or AI agent your team relies on. See its connected context, test a meaningful security boundary, and review the controls available as it evolves.