Secure AI Chatbot Penetration Testing

Protect your AI chatbot before attackers turn prompts, documents, or connected tools into pathways for data exposure. Vynox Security performs manual, adversarial testing of LLM-powered chatbots to uncover prompt injection, jailbreak, system-prompt leakage, guardrail bypasses, and unsafe tool actions. Receive clear evidence, prioritized findings, and developer-ready remediation guidance so your team can ship with greater confidence.

Security analyst testing an AI chatbot

Our AI Chatbot Penetration Testing Services

Targeted adversarial assessments for chatbot models, retrieval layers, connected tools, and proprietary AI assets.

LLM Penetration Testing

Manually test your chatbot with 40+ prompt injection and jailbreak techniques to identify system-prompt leakage, guardrail bypasses, sensitive-data disclosure, and other OWASP LLM Top 10 risks.

Prompt Injection Testing

Assess whether direct, indirect, encoded, role-play, token-manipulation, and multi-turn attacks can override chatbot instructions or cause unsafe responses and unintended behavior.

RAG Security Testing

Test the full retrieval path for restricted-document exposure, cross-tenant retrieval, access-control bypasses, vector database poisoning, and embedding-inversion risks in chatbot knowledge bases.

AI Agent Security

Evaluate chatbots that invoke tools or agents for tool-call injection, task hijacking, privilege escalation, unsafe API actions, and data exfiltration through legitimate channels.

AI Red Teaming

Simulate determined adversaries pursuing realistic objectives across chatbot inputs, models, tools, and pipelines through structured threat modeling and multi-step exploit chains.

Model Extraction Testing

Measure whether targeted queries can reveal proprietary training data, fine-tuning signatures, model behavior, or intellectual property that competitors or attackers could exploit.

AI-Native Security Testing

Test Your Chatbot Beyond Basic Guardrails

AI chatbots introduce attack paths that conventional application testing often overlooks. Vynox Security probes your live application as an adversary would, testing how prompts, retrieved content, integrations, and user interactions can be manipulated. Each engagement covers the relevant OWASP LLM Top 10 risks and delivers reproducible evidence, CVSS-scored findings, and stack-specific fixes. Choose Rapid Secure for fast assurance or Deep Secure for broader adversarial coverage.

Analyst reviewing AI chatbot vulnerabilities
Verified Client Results

Security Teams Trust Vynox

See why security-conscious teams rely on Vynox for responsive, actionable AI security assessments.

"Shubham and the rest of the Vynox team were responsive and easy to work with throughout the engagement. The retest turnaround was impressively fast — fixes were verified the same day our engineer pushed them to staging."

Cody I.
The Vynox Difference

Why Choose Vynox Security?

AI-native testing that turns complex chatbot risks into practical next steps.

AI-Native Coverage

Purpose-built testing addresses LLM, RAG, and agent vulnerabilities traditional pentests commonly miss.

Adversarial Depth

More than 40 prompt injection and jailbreak techniques test real-world chatbot resilience.

Developer-Ready Fixes

Reproduction steps, evidence, CVSS scores, and stack-specific guidance accelerate remediation for engineering teams.

Continuous Validation

PTaaS aligns testing with model updates and sprints, with same-day staging retests after fixes.

Meet the Vynox Team

AI security specialists focused on clear, effective engagements.

Portrait of Karan Singh, Discovery Call Lead and Founder at Vynox Security

Karan Singh

Discovery Call Lead / Founder or Senior Team Member

Karan Singh is a founding team member and senior security professional at Vynox Security, where he leads discovery calls and security assessment scoping for prospective clients. As the primary booking contact for new engagements, Karan plays a pivotal role in helping organizations understand their AI and infrastructure security needs before any testing begins. With deep expertise in AI-native security testing — including LLM penetration testing, RAG pipeline security, and autonomous agent assessments — he ensures every engagement is precisely scoped to deliver maximum value. Karan is committed to making the onboarding process clear and efficient, setting the foundation for thorough, developer-ready security assessments that help clients ship AI products with confidence.

Portrait of Shubham, Security Engagement Lead at Vynox Security

Shubham

Point of Contact / Security Engagement Lead

Shubham serves as a Security Engagement Lead and primary point of contact for client engagements at Vynox Security. Known for his prompt responsiveness and seamless coordination, Shubham ensures that every security testing engagement runs smoothly from kickoff through final delivery. He acts as the bridge between Vynox's technical security team and client stakeholders, keeping communication clear, timelines on track, and deliverables aligned with each organization's specific compliance and remediation goals. Clients consistently praise Shubham for making the entire security testing process efficient and stress-free. His dedication to collaborative, responsive client engagement reflects Vynox's core commitment to being a trusted security partner for AI-powered businesses and security-conscious development teams.

Frequently Asked Questions

How do you test an AI chatbot?

AI chatbot testing combines manual adversarial prompting with application-level security validation. Testers attempt direct and indirect prompt injection, jailbreaks, system-prompt extraction, sensitive-data disclosure, guardrail bypasses, and multi-turn attack chains. They also evaluate retrieval sources, authentication, authorization, connected APIs, and tool calls. Vynox maps applicable findings to the OWASP LLM Top 10 and provides reproducible evidence and remediation guidance.

What vulnerabilities can AI chatbot penetration testing find?

What is prompt injection in an AI chatbot?

Do you test chatbots with RAG knowledge bases?

Can you test AI chatbots that use tools or autonomous agents?

How long does AI chatbot penetration testing take?

Will the report support SOC 2, ISO 27001, or EU AI Act work?

Can you retest fixes after our team remediates findings?

Still Have AI Security Questions?

Talk with a specialist about your chatbot’s testing scope and risks.

Trusted Security Signals

Awards and Recognition

G2 rating recognition

G2 Rating

4.6/5 from 10 verified reviews

OWASP LLM Top 10 coverage

OWASP LLM Coverage

Mapped testing across AI security risks

Compliance evidence mapping

Compliance Evidence

SOC 2 and ISO 27001 mapping

Find Your Chatbot’s Weakest Paths

Book a 30-minute discovery call to review your AI attack surface, prioritize testing needs, and receive clear scope, timeline, and pricing guidance.

Contact Us Today

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