LLM Security Testing for Modern AI

LLM security testing is an adversarial assessment of an AI application’s model behavior, prompts, data access, integrations, and guardrails. It looks for risks such as prompt injection, jailbreaks, system-prompt leakage, sensitive-data disclosure, unsafe output handling, and unintended tool actions. Vynox Security uses manual, human-led validation and maps AI findings to the OWASP LLM Top 10.

Traditional penetration testing primarily evaluates web, API, cloud, mobile, and network attack surfaces. LLM testing adds AI-specific attack paths that scanners and conventional tests may miss, including direct and indirect prompt injection, multi-turn jailbreak chains, retrieval manipulation, model extraction, and agent tool-call abuse. Vynox can test both the AI layer and its supporting infrastructure in a single engagement.

An LLM penetration test assesses the deployed application through the lens of an attacker. Vynox tests 40+ prompt injection and jailbreak techniques, system-prompt extraction, guardrail bypass, sensitive-data disclosure, and OWASP LLM Top 10 risks. Deliverables include technical findings, reproduction steps, supporting evidence, remediation guidance, and an executive summary for leadership stakeholders.

Yes. RAG Pipeline Security Testing examines the retrieval path from user query through document selection and model response. Testing includes query manipulation, cross-tenant retrieval, access-control bypass, vector database poisoning paths, and embedding inversion. The assessment helps identify whether confidential documents, customer information, or proprietary content can be surfaced to unauthorized users through the application.

Yes. AI Agent Security Testing evaluates agents that can call tools, access data, send messages, make changes, or delegate work. Vynox tests for tool-call injection, indirect prompt injection through the agent environment, goal hijacking, privilege escalation through agent chaining, and exfiltration through approved tool channels. Destructive testing is scoped with agreed staging or sandbox guardrails.

A standard AI and LLM penetration testing engagement is typically delivered in 5–7 business days. RAG, agent, and model inversion engagements commonly take 10–15 business days, while comprehensive AI red teaming generally takes 3–5 weeks. Timing reflects scope, integration complexity, and the depth of adversarial scenarios required. Vynox also offers continuous testing through PTaaS.

Yes. Vynox maps applicable findings to SOC 2 and ISO 27001 control evidence requirements and provides assessor-ready evidence packs. Reports include an executive summary, technical findings, CVSS scores, screenshots or supporting evidence, reproduction steps, and remediation guidance. This supports customer security questionnaires and audit preparation, although Vynox does not perform certifying audits.

After testing, your team receives prioritized findings with clear evidence and stack-specific remediation guidance. Developers can use the reproduction steps to validate and fix each issue, while leaders can use the executive summary to understand risk and next actions. Under PTaaS, Vynox can verify fixes the same day they are deployed to staging, helping teams close issues quickly.