AI Application Security Testing (AAST)

Secure AI applications before hidden weaknesses become business incidents.

Exfinity tests AI assistants, RAG-based applications, agentic systems, AI-enabled APIs, and custom AI solutions across the application, model interaction, data, identity, and tool layers.

The Challenges

AI applications introduce risks that traditional application testing may not fully cover. Prompt injection, sensitive information disclosure, insecure output handling, excessive agency, weak access controls, and unsafe tool use can create paths to data leakage or unauthorised actions.

RAG pipelines, plugins, APIs, vector stores, system prompts, third-party models, and connected business systems expand the attack surface. A weakness in one layer can affect the complete AI workflow, especially when the application can retrieve internal information or perform actions.

The Solution

Exfinity combines AI-specific security testing with application and API testing to assess how the complete AI solution behaves under realistic misuse and attack conditions.

AI Attack Surface Review: Map the AI application, model interfaces, RAG components, APIs, tools, data sources, identities, and trust boundaries.

Prompt and Behaviour Testing: Test prompt injection, instruction manipulation, sensitive information disclosure, insecure output handling, and guardrail bypass.

RAG, Agent and Tool Testing: Assess retrieval manipulation, data access boundaries, agent behaviour, tool permissions, and unintended actions.

Application, API and Remediation Review: Test supporting application and API controls, document confirmed findings, and provide practical remediation guidance.

Benefits

Because we craft success for every problem

01

Broader AI Risk Visibility

Understand weaknesses across the AI workflow, not only the user interface or API.

02

Reduced Data Leakage Exposure

Identify paths that may reveal confidential, restricted, or cross-user information.

03

Safer Agent and Tool Use

Validate whether connected tools, permissions, and actions can be manipulated or misused.

04

Stronger Application Controls

Assess authentication, authorisation, APIs, data flows, and supporting application security.

05

Actionable Remediation

Give product, development, and security teams clear evidence and practical fix guidance.

06

Greater Deployment Confidence

Make better release decisions using validated findings from realistic AI security testing.

Frequently Asked Questions

Got any questions? we’re here to help

Unsure of what solutions best fit your needs? Don’t hesitate to reach out!

What is AI Application Security Testing?

It is a structured security assessment of AI-enabled applications, including model interactions, prompts, RAG components, agents, APIs, tools, data flows, and supporting application controls.

How is it different from traditional VAPT?

Traditional VAPT remains important for infrastructure, applications, and APIs. AI application testing adds checks for AI-specific behaviour such as prompt injection, data leakage, retrieval manipulation, excessive agency, and unsafe tool use.

What types of AI applications can be tested?

The agreed scope can include AI assistants, RAG-based knowledge systems, agentic workflows, custom AI applications, AI-enabled APIs, and applications connected to enterprise data and tools.

Does the testing include APIs and access controls?

Yes. The assessment can include supporting APIs, authentication, authorisation, data access, and application controls within the agreed scope.

What do we get at the end?

You receive confirmed findings, evidence, business impact, risk priorities, and practical remediation guidance for product, development, and security teams.