Systematic vulnerability assessment and exploitation testing for your AI applications, APIs, and infrastructure — before attackers find the gaps first.

AI applications introduce a layered attack surface — the model itself, the APIs that serve it, the data pipelines feeding it, and the infrastructure hosting it. AI Penetration Testing (AI VAPT) from ILLUME Intelligence delivers a structured, evidence-based assessment across every one of these layers. Unlike open-ended adversarial red teaming, AI VAPT follows a defined methodology to systematically identify, verify, and exploit vulnerabilities — from insecure API endpoints and misconfigured model-serving environments to authentication flaws around AI features. You get a comprehensive vulnerability inventory, validated through real exploitation, so your team knows exactly what to fix and in what order.

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What's Covered Under This Service

AI VAPT examines the full technical stack surrounding your AI systems, not just the model in isolation:

* API & Endpoint Security — Testing authentication, authorization, rate limiting, and input validation on APIs that expose model functionality.

* Model Serving Infrastructure — Assessing configurations of model-hosting environments, inference servers, and containerized deployments for misconfigurations and exposure.

* RAG Pipeline & Vector Database Security — Identifying vulnerabilities in retrieval-augmented generation setups, including unauthorized access to vector stores and embedding leakage.

* Authentication & Access Control — Verifying that AI features respect user roles, permissions, and tenant isolation, particularly in multi-tenant SaaS AI products.

* Data Storage & Transmission — Reviewing how training data, embeddings, and conversation logs are stored, encrypted, and transmitted.

* Third-Party & Plugin Integrations — Testing connectors, plugins, and tool integrations that extend AI functionality for injection, privilege escalation, and data exposure risks.

* Output Handling Vulnerabilities — Assessing whether AI-generated output is properly sanitized before being rendered, executed, or passed downstream (e.g., insecure output leading to XSS or command injection).

 

 

How ILLUME's AI VAPT Works

Our process follows a structured, phase-based methodology designed for repeatability and audit-readiness:

1. Asset Mapping & Scoping — We identify every component in your AI stack — APIs, model endpoints, data stores, integrations — and define testing boundaries with your team.

2. Automated & Manual Vulnerability Assessment — We combine tooling with manual technique to identify vulnerabilities across the AI application layer, going beyond what scanners alone can catch.

3. Exploitation & Validation — Identified vulnerabilities are manually exploited in a controlled manner to confirm real-world impact and eliminate false positives.

4. Risk Rating & Prioritization — Each finding is scored using CVSS-aligned severity ratings combined with business-context impact analysis.

5. Reporting & Walkthrough — We deliver a detailed report and walk your technical team through every finding, ensuring nothing gets lost in translation.

6. Retesting — Once fixes are deployed, we retest to confirm vulnerabilities are fully remediated.

 

 

What's Offered Under AI VAPT Service

* Black-box, grey-box, and white-box AI VAPT engagements

* API and endpoint-focused testing for AI-powered applications

* Infrastructure and model-serving environment assessments

* RAG pipeline and vector database security testing

* Multi-tenant AI SaaS access control testing

* Compliance-aligned reporting for audit and regulatory purposes

* Periodic and retainer-based testing for continuously evolving AI products

 

 

How Illume's Service Is Different

* Full-stack coverage, not just the model. Many providers test the LLM in isolation and stop there. We assess the entire AI application ecosystem — APIs, infrastructure, data layers, and integrations — because that's where most real-world breaches actually occur.

* Validated exploitation, not just scan results. Every vulnerability we report has been manually verified through controlled exploitation, so your team isn't chasing false positives or theoretical risks.

* Methodology built on established AppSec rigor. Our AI VAPT process extends proven penetration testing frameworks into the AI context, giving you assessments grounded in mature, audit-recognized practice rather than experimental approaches.

 

 

What You Will Receive

* A comprehensive vulnerability assessment report with CVSS-aligned severity ratings

* Proof-of-concept evidence for each validated finding

* A prioritized remediation roadmap for engineering teams

* An executive summary for leadership and stakeholders

* Compliance-mapped documentation (ISO 27001, SOC 2, GDPR-relevant findings where applicable)

* A retest report confirming closure of identified vulnerabilities

 

 

Why AI VAPT Matters Now

As AI features move from experimental to production-critical, the infrastructure supporting them becomes a high-value target. A single misconfigured API endpoint or an exposed vector database can leak proprietary data or customer information at scale. Enterprise buyers and compliance auditors are increasingly requiring documented AI VAPT reports before approving vendor AI integrations — making this a practical prerequisite for enterprise sales and regulatory readiness, not just a security best practice.

Why AI VAPT Service With ILLUME Intelligence

Full-Stack Testing

We assess the model, APIs, infrastructure, and data layers together — not the AI component in isolation.

Verified Findings

Every vulnerability is manually exploited and validated, eliminating false positives from your remediation queue.

Audit-Ready Reports

Documentation is structured for compliance use, mapped to recognized standards your auditors already expect.

Proven Methodology

Built on established penetration testing rigor, extended specifically for AI application architectures.

Business-Priority Roadmap

Findings are ranked by real business impact, not just technical severity, so fixes align with actual risk.

Ongoing Partnership

From initial testing through retesting, we stay engaged until vulnerabilities are confirmed closed.

What Makes ILLUME's AI VAPT Service Different
  • We approache AI VAPT as an extension of mature application security discipline, not a bolt-on AI checklist. Our testers bring deep infrastructure and API security expertise combined with a working understanding of how modern AI systems — RAG pipelines, vector databases, agentic integrations — are actually architected. This means we catch the vulnerabilities that generic AI scanners and infrastructure-only pentesters both miss: the gaps that live specifically at the intersection of your AI features and the systems supporting them. Every report is built to be immediately actionable for engineering teams and directly usable for compliance and enterprise due diligence.

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FAQs
AI VAPT is a structured, methodology-driven assessment that systematically identifies and validates vulnerabilities across your AI application, APIs, and infrastructure. AI red teaming, by contrast, is open-ended adversarial simulation focused on how an attacker could manipulate model behavior itself. Many organizations use both together for comprehensive coverage.
We test APIs exposing AI functionality, model-serving infrastructure, RAG pipelines and vector databases, authentication and access controls, data storage and transmission, and any third-party plugins or integrations connected to your AI features.
We test how your application integrates with and secures access to third-party AI APIs — authentication, data handling, and output processing — rather than the underlying third-party model itself, which is outside your control.
We offer both, depending on your requirements. Black-box testing simulates an external attacker with no internal access; white-box testing uses full system access for deeper, more exhaustive coverage. Most clients start with grey-box engagements that balance both.
Most engagements run 1 to 3 weeks depending on the size and complexity of your AI stack, number of API endpoints, and integration points involved.
No. Testing is carefully scoped, typically conducted in staging environments or during agreed low-impact windows, and exploitation is performed in a controlled manner to avoid disrupting live systems.
Yes. Our reports are structured to align with common compliance frameworks and can serve as supporting evidence during audits or enterprise vendor security reviews.
Each vulnerability is scored using CVSS-aligned severity combined with business-context impact, so your team can focus remediation effort on what genuinely matters most, not just what scores highest technically.
Every finding we report includes proof-of-concept evidence from manual exploitation, so your team can trust the validity of the results and avoid wasting time on false positives.
We conduct a retest to confirm each vulnerability has been properly remediated, and provide an updated report reflecting your improved security posture.