AI & LLM Testing
Manually probe LLM applications with 40+ prompt injection and jailbreak techniques to identify guardrail bypasses, system-prompt leakage, and sensitive-data disclosure across the OWASP LLM Top 10.
Protect your LLM applications, RAG pipelines, and autonomous agents with adversarial testing built for the modern AI attack surface. Vynox Security combines human-led security expertise with AI-augmented tooling to uncover prompt injection, data exposure, agent misuse, and model risks that conventional scans can miss. Receive clear evidence, prioritized findings, and developer-ready remediation guidance to ship with confidence.
Targeted adversarial assessments for the AI components, workflows, and data paths that power your product.
Manually probe LLM applications with 40+ prompt injection and jailbreak techniques to identify guardrail bypasses, system-prompt leakage, and sensitive-data disclosure across the OWASP LLM Top 10.
Test retrieval workflows for cross-tenant document exposure, access-control bypasses, vector database poisoning, embedding inversion, and query manipulation that could reveal confidential content.
Assess autonomous agents, tool calls, MCP integrations, and multi-agent workflows for injection, goal hijacking, privilege escalation, and data exfiltration through legitimate channels.
Measure whether targeted queries can recover proprietary training data, fine-tuning signatures, model behavior, or intellectual property from your deployed model.
Focus on whether attackers can override instructions through direct and indirect prompts, role-play exploits, token manipulation, obfuscation, and multi-turn attack chains.
Investigate suspected AI compromise by reviewing prompts, retrieval activity, and agent tool calls to establish exposure, likely attack paths, and prevention priorities.
Vynox Security tests AI products the way determined attackers do, not as a generic vulnerability scan. Our specialists validate real-world exploit paths across models, retrieval layers, agents, and supporting APIs, then translate findings into stack-specific fixes your developers can use. Every engagement includes technical evidence, reproduction steps, CVSS scoring, and leadership-ready context, with OWASP LLM Top 10 and SOC 2 or ISO 27001 control mapping where needed.
See how security-conscious teams use Vynox Security to validate and strengthen their AI products.
Purpose-built testing and practical guidance for teams securing fast-moving AI products.
Purpose-built methods assess LLMs, RAG pipelines, agents, and their supporting infrastructure together.
Human-led testing applies 40+ prompt injection and jailbreak techniques beyond automated scanning.
Developer-ready reproduction steps and stack-specific remediation accelerate prioritization and secure resolution.
PTaaS aligns testing with every model update and sprint, including same-day staging retests.
AI security specialists focused on clear, practical assurance.
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.
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.
AI testing can include functional and performance testing, but security testing focuses on how a system behaves under attack. Key AI security assessments include LLM penetration testing, prompt injection and jailbreak testing, RAG pipeline testing, AI agent and tool-use testing, model inversion testing, and end-to-end AI red teaming. Each addresses different risks, from instruction override and data leakage to unauthorized agent actions and model IP extraction.
Speak with a specialist about your system, scope, and security priorities.
Based on 10 verified reviews.
Coverage mapped across AI security assessments.
Findings mapped for audit readiness.
Tell us about your AI system and goals. We’ll help scope the right assessment, timeline, and testing depth.
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