AI Agent Testing
Test autonomous agents with tool access for tool-call injection, indirect prompt injection, goal hijacking, privilege escalation, channel exfiltration, MCP risks, and multi-agent attack paths.
Give your autonomous AI agents the adversarial testing they need before tool access, payment authority, or customer data creates unnecessary risk. Vynox Security tests how agents can be manipulated through prompt injection, compromised tools, privilege escalation, and multi-agent attack chains. Receive practical evidence, developer-ready remediation guidance, and security insights that help your team deploy agentic workflows with greater confidence.
Specialized adversarial assessments for autonomous agents, LLM applications, retrieval pipelines, and AI models.
Test autonomous agents with tool access for tool-call injection, indirect prompt injection, goal hijacking, privilege escalation, channel exfiltration, MCP risks, and multi-agent attack paths.
Manually probe LLM applications with 40+ prompt injection and jailbreak techniques to uncover guardrail bypasses, system prompt leakage, sensitive-data disclosure, and exploitable model behavior.
Assess retrieval paths for cross-tenant document exposure, access-control bypasses, vector database poisoning, embedding inversion, and query manipulation that could expose confidential content.
Focus on whether attackers can override model instructions through direct or indirect prompts, encoding tricks, role-play exploits, retrieved documents, tool outputs, and multi-turn attack chains.
Measure the potential for adversaries to recover proprietary training data, model signatures, fine-tuning details, or valuable intellectual property through targeted model-query techniques.
Simulate determined adversaries pursuing realistic objectives across your LLMs, agents, and pipelines through threat modeling, attack-surface mapping, exploit chaining, and board-ready reporting.
Autonomous agents can do more than generate text: they can call APIs, access files, send messages, update records, and trigger payments. Vynox Security evaluates the real-world consequences of a compromised agent, testing the pathways attackers use to redirect goals, manipulate tool calls, or move through connected systems. You receive validated findings, clear reproduction steps, and stack-specific remediation guidance your engineers can apply quickly.
See how security-conscious teams gain clearer visibility into AI and infrastructure risks.
AI-native testing that turns complex attack paths into practical security improvements.
Purpose-built testing covers LLMs, RAG pipelines, autonomous agents, and connected infrastructure.
Expert-led adversarial testing validates genuine exploitability beyond automated scanner results.
Developer-ready guidance includes evidence, reproduction steps, severity scoring, and stack-specific remediation.
PTaaS aligns security validation with model updates, sprints, and same-day staging retests.
Responsive specialists focused on clear, practical AI security outcomes.
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.
Autonomous penetration testing is a security assessment focused on AI agents that can use tools, access data, call APIs, or take actions on behalf of users. It evaluates whether an attacker can manipulate the agent’s instructions, tools, permissions, or connected workflows. Testing examines realistic issues such as goal hijacking, indirect prompt injection, unintended data access, privilege escalation, and harmful tool execution.
Talk with a specialist about your agent’s tools, data, and risk profile.
Based on 10 verified customer reviews.
AI testing mapped to OWASP LLM Top 10.
Findings support SOC 2 and ISO 27001 evidence.
Tell us about your agents, tools, data access, and deployment plans. Vynox Security will help scope the right adversarial assessment and outline practical next steps.
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