AI Is Now Part of Your Attack Surface. Are You Testing It?

Watch the Webinar On Demand

AI-powered features, chatbots, copilots and agents are becoming part of everyday business systems.

As those tools gain access to sensitive data, APIs, internal knowledge, applications and the ability to perform actions, they also become part of your organisation’s wider attack surface.

The question is no longer simply whether the AI model itself is secure. It is whether the complete environment around it has been properly understood and tested.

In this on-demand webinar, Secarma explores what AI security testing actually involves, what security testers are looking for and what organisations should consider before launching or expanding an AI-powered feature.

Watch the full session below.

What does the webinar cover?

During the session, we explore:

• Why AI should now be considered part of an organisation’s attack surface
• What AI security testing involves and why testing the model alone is not enough
• How prompt injection and manipulated inputs can affect connected systems
• Where sensitive information may be exposed through AI-powered applications
• How testers assess what a chatbot or agent can access, retrieve and reveal
• How permissions, actions and human approval controls can be tested
• How AI security testing works alongside application, API and infrastructure penetration testing
• What organisations should consider testing before launching or expanding an AI feature

Why testing the model alone is not enough

An AI feature rarely operates in isolation.

A chatbot might be connected to internal knowledge. A copilot may be able to retrieve customer information. An AI-powered application may call APIs, while an agent could be given permission to use tools, update records or perform actions on someone’s behalf.

Each connection introduces additional data flows, permissions, trust boundaries and behaviours that need to be understood.

Effective AI security testing therefore needs to consider the wider implementation: the prompts, data, identities, permissions, APIs, tools, integrations, applications and infrastructure surrounding the AI capability.

The aim is not to slow down AI adoption. It is to give organisations greater confidence that the technology can be introduced and expanded securely.

Who should watch?

This session is ideal for organisations already using or planning to introduce AI-powered features, chatbots, copilots or agents, particularly where AI is connected to internal knowledge, sensitive information, business applications, APIs or other tools.

Whether you are developing an AI-powered product, connecting a chatbot to business information or exploring more autonomous agents, the webinar will help you understand where security testing fits and what an effective assessment should cover.

Keep moving quickly, with confidence

AI is giving organisations opportunities to build faster, improve services and create new ways for people to interact with technology.

Security testing should support that progress by helping teams understand where controls are working, where assumptions need to be challenged and what should be improved before AI is given greater access or autonomy.

If you would like to explore the topic further, read our article AI Security Testing: Has Security Kept Up with AI?, where we look more closely at why AI security testing needs to consider the whole system rather than the model alone.

If you are introducing AI into an application, chatbot, copilot or agent and are unsure what should actually be tested, speak to the Secarma team. We can help you understand the architecture and identify the right testing scope.