Security for AI-native companies

Secure agents, retrieval, and the software around them.

Explore how prompts, models, retrieval, tools, identities, APIs, and application logic combine into real attack paths.

Connected attack surface

Test the boundaries attackers combine.

DeepScan coordinates testing across the systems, roles, and workflows that shape risk in AI-native environments.

AI agents and copilotsRAG and knowledge storesTool and plugin callsModel gatewaysApplication and API controls

Priority scenarios

Start with the paths most likely to connect a technical weakness to meaningful impact.

Test untrusted content moving through retrieval into model behavior.

Assess whether prompts or retrieval cross user and tenant boundaries.

Challenge authorization around actions, plugins, and downstream systems.

Follow model behavior into API, identity, and business-logic weaknesses.

Expert delivery

DeepScan delivers CREST Certified pentests through CyberImmune, with defined scope, expert oversight, a formal report, and retesting.

Governance and safety

Set explicit scope, identity, data, and validation boundaries before testing starts.

Questions

How DeepScan fits your operating and assurance workflows.

Do you test beyond the model?

Yes. DeepScan tests the connected AI system, including retrieval, tools, application logic, APIs, and identity.

Can agentic actions be assessed?

Yes, within approved tool and execution boundaries.

Is expert delivery available?

Yes. An expert-led AI agent pentest can be delivered through CyberImmune.

Start with proof

Start with an approved scope and build a defensible evidence trail.