Generative AI Penetration Testing
We test chatbots, copilots, and LLM integrations for prompt injection, jailbreaks, unsafe outputs, and leakage of sensitive data or hidden instructions.
// Expert AI Penetration Testing
AI Penetration Testing Services | Secure LLMs & AI Applications
Test Prompts, Agents, RAG Pipelines & Model Access
Pluto Security delivers expert led AI penetration testing for LLM applications, AI agents, and the pipelines behind them. We attack prompts, tool access, retrieval, and model endpoints like a real adversary, then give your team proven findings and fixes it can ship.
Get a free security assessment quote.
Tell us what you need. A senior engineer replies, typically within one business day.
- Prompts pushed past limits
Injection and jailbreak attempts were tested manually, then proven.
- Agents tested for overreach
We check what your AI can reach and should never touch.
- Data leaks traced to source
Hidden context, retrieval stores, and training data checked for exposure.
- Fixes built for AI teams
Guidance your ML and engineering teams can apply right away.
About AI Pentest
Securing AI Systems Your Business Depends On
Penetration testing AI systems goes beyond the model itself. Our AI penetration testing covers the prompts, agents, retrieval layers, and APIs around it, combining manual attacks with OWASP guidance for LLM applications and MITRE ATLAS techniques. You get evidence based findings that show how an attacker could manipulate your AI, plus practical fixes your engineers can apply.
Manual Prompt & Agent Attacks
OWASP & MITRE ATLAS Mapping
Context Driven AI Risk Analysis
Actionable AI Remediation Guidance
// Scope
What We Cover in AI Penetration Testing
Agent & Tool Access Security
We assess what your AI agents can call, read, and change, exposing excessive permissions, weak authorization, and unapproved high impact actions.
RAG Pipelines & Vector Stores
We test retrieval layers, embeddings, and connected knowledge bases for poisoned content, cross user data exposure, and indirect prompt injection.
Model Endpoints & AI APIs
We examine fine tuning data, model sources, plugins, and third party components for poisoning, backdoors, and unvetted dependencies across your AI supply chain.
AI Infrastructure & Cloud Security
We test the cloud accounts, GPU workloads, secrets, and pipelines hosting your AI systems for misconfigurations that expose models or data.
// Methodology
Our AI Penetration Testing Methodology
- 01
AI System Mapping
We map models, prompts, tools, data sources, and the users who reach them.
- 02
Threat Modeling
We chart realistic attack paths using MITRE ATLAS and OWASP LLM risks.
- 03
Adversarial Testing
Testers manually attack prompts, retrieval, and agent actions while tooling widens coverage.
- 04
Impact Validation
Confirmed issues are safely proven to show what data and actions an attacker could reach.
- 05
Reporting & Retesting
You receive evidence, risk ratings, and fixes, then we retest at no extra cost.
// Get started
AI Pen Testing Built for US Businesses
Get a penetration test AI teams and auditors trust, mapped to OWASP, MITRE ATLAS, and NIST.
// What we deliver
Audit Ready AI Security Reports
Every AI penetration test ends with a report your engineers, security team, and leadership can all use. You receive proven findings mapped to OWASP and MITRE ATLAS, clear fixes for your AI stack, and a signed attestation letter for customers and auditors.
- Executive Summary
A plain language view of AI risk and business impact for leadership.
- Proven Attack Evidence
Step by step proof of prompt, agent, and data exposure findings.
- Framework Mapped Findings
Every issue tied to OWASP LLM risks, MITRE ATLAS, and NIST AI RMF.
- Remediation Guidance
Specific guardrail, permission, and pipeline fixes written for your actual AI stack.
Why Choose Pluto Security for AI Pen Testing?
Test Your AI the Way Attackers Do
Our AI penetration testing services combine manual adversarial testing, exploit validation, and risk focused reporting. We examine your models in the context of the applications, identities, and data they connect to, because most AI failures start at the integration, not the model. That gives your security and engineering teams clear priorities instead of a list of clever prompts.
Certified AI Penetration Testers
OSCP, GPEN, and GPENT certified testers run every engagement, backed by CISSP and GIAC expertise.
Framework Aligned Testing
Methods follow OWASP LLM guidance, MITRE ATLAS, and the NIST AI Risk Management Framework.
US Compliance Ready
Reports support SOC 2, HIPAA, PCI DSS, and NIST aligned reviews of your AI controls.
Manual First, AI Assisted
AI in penetration testing saves time, but people validate every finding you receive.
How We Run an AI Penetration Test
We map every model, prompt template, tool, and data source so we know exactly what an attacker could reach.
We use AI tools for penetration testing to speed up recon and payload variation, then verify every result by hand.
We craft direct and indirect prompt injections, jailbreaks, and poisoned documents to see whether your guardrails hold up.
We pen test AI agents for excessive permissions, tool misuse, and data exfiltration paths that ordinary scanners never exercise.
We vet AI pen test tools for scope control before use, since an autonomous agent can overreach just like an attacker.
What you get
AI Vulnerability Report
Verified Attack Transcripts
Agent Permission Analysis
AI Penetration Testing Tools & Frameworks
Burp Suite
Garak
PyRIT
Promptfoo
Adversarial Robustness Toolbox
MITRE ATLAS
OWASP Top 10 for LLMs
// Business impact
Why AI Pen Testing Matters for Your Business
Companies are wiring AI into support, finance, code, and healthcare workflows faster than they can secure them. Once a model can read data and take actions, a single crafted prompt can turn into a data breach. Pentesting AI before attackers do shows which risks are real and which fixes deserve your budget first.
Stop Prompt Injection
Find inputs that override instructions before customers or attackers discover them.
Protect Sensitive Data
Prevent models from revealing customer records, credentials, or confidential business information.
Control Agent Actions
Limit what connected tools can change when a model gets manipulated.
Validate Guardrails
Confirm content filters and safety policies hold against realistic adversarial attempts.
Secure Retrieval Pipelines
Catch poisoned documents and cross tenant leaks inside your knowledge bases.
Reduce Breach Risk
Close paths from a chatbot into internal systems, APIs, and cloud accounts.
Meet Buyer Security Reviews
Answer procurement questionnaires about AI risk with documented testing evidence.
Strengthen AI Resilience
Turn validated findings into guardrails, permissions, and monitoring that hold up.
// AI Penetration Testing FAQs
Your AI Penetration Testing Questions, Answered
Still have questions about AI penetration testing? Talk to an engineer.
// Get started
Your AI Gaps Before Attackers Do
a senior engineer replies within one business day