29+ Years | CERT-In Empanelled | ISO 27001 Certified | Microsoft Solutions Partner for Azure, Security and Modern Work
AI application security testing

AI Application Security Testing (AAST) 

Identify Vulnerabilities in Your AI Applications Before Attackers Exploit Them  

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Key highlights

  • Complete AI attack surface testing: Chatbots, Copilots, agents, RAG systems, AI APIs and every integration around them 
  • OWASP LLM Top 10 coverage: Structured testing against a recognised AI application risk taxonomy, rather than ad hoc prompting 
  • Traditional plus AI-specific testing: Application and API security combined with prompt injection, data leakage and agent abuse testing 
  • Production-ready assurance: Executive risk report, detailed technical findings, AI Security Scorecard and remediation tracker
the challenge

The challenges Indian businesses face

Indian organisations are deploying AI-powered chatbots, customer support assistants, Microsoft Copilot solutions, AI agents, internal knowledge assistants, RAG-based search platforms and AI-enabled business workflows at speed.

The problem is that traditional VAPT was not designed to assess every risk introduced by these systems. A standard penetration test may not properly evaluate:

 

  • Prompt injection: Manipulation of AI behaviour through crafted input
  • Sensitive information disclosure: Leakage of confidential business or customer data
  • Prompt leakage: Exposure of system instructions and internal logic
  • Excessive agency: The AI performing actions that were not authorised
  • Tool misuse: Abuse of systems and tools connected to the AI
  • RAG manipulation: Poisoning or manipulating the information the AI retrieves
  • Unsafe output handling: Generated content that compromises downstream systems
                      Solutions to Challenges faced by organization in terms of Information Security

                      The Matrix3D solution

                      AI Application Security Testing is a specialised security testing engagement built to find vulnerabilities across AI applications, Copilots, agentic systems, RAG implementations, AI APIs and their integrations before they are exploited. We combine established application security testing with AI-specific attack techniques aligned with the OWASP Top 10 for LLM Applications, OWASP AI Testing Guide and MITRE ATLAS.

                      What we test:

                      • AI user interface layer: Prompt injection, user manipulation, session isolation, access control validation and response handling 
                      • AI orchestration layer: Prompt templates, chains and workflows, function-calling logic, tool routing and agent behaviour 
                      • RAG security: Retrieval authorisation, cross-user access, cross-tenant exposure, corpus poisoning, retrieval manipulation and metadata filter bypass 
                      • Agent and tool security: Tool authorisation, excessive permissions, argument validation, side-effect controls and approval workflows 
                      • AI APIs: Authentication, authorisation, session controls, rate limiting, abuse pathways and data exposure 
                      • Output security: Unsafe outputs, HTML rendering risks, script injection risks and downstream application abuse

                                What you gain

                                Visibility into AI security risks

                                A clear picture of where your AI applications are exposed. 

                                Reduced data leakage exposure

                                Find and close the paths that expose confidential, customer or cross-tenant data. 

                                Validation of AI security controls

                                Confirmation of whether the controls you have already built hold up during testing. 

                                Production deployment confidence

                                Go live knowing your AI application has been tested against recognised AI risk categories. 

                                Actionable remediation guidance

                                An AI Security Scorecard and remediation tracker that your engineering team can use directly. 

                                Governance and compliance support

                                Testing evidence that supports governance, audit and customer assurance requirements. 

                                Industries we support

                                • Banking, Financial Services and FinTech 
                                • Healthcare and HealthTech 
                                • Education and EdTech 
                                • AI Product and SaaS Companies 
                                • Enterprises running internal AI assistants and knowledge management systems 
                                • Organisations deploying Microsoft 365 Copilot, Copilot Studio, Azure OpenAI and Power Platform AI solutions 

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                                          Why choose Matrix3D

                                          Matrix3D brings together 29+ years of enterprise security experience, CERT-In empanelment, ISO 27001:2022 certification and deep Microsoft security capability. We bring that same attacker mindset to AI systems, backed by AI-specific methodology and tooling. 

                                          • Human-led adversarial testing, supported by Garak, PyRIT, Promptfoo, Burp Suite Professional and OWASP tooling 
                                          • Proprietary Matrix3D AI-VAPT Harness for repeated payload execution, success-rate calculation and evidence packaging 
                                          • Deep Microsoft AI expertise across Copilot, Copilot Studio agents, Azure OpenAI and enterprise agentic workflows 
                                          • Clear rules of engagement, defined scope and no surprises during testing