Stress-test the agents your business trusts to access tools, data, and workflows. Vynox Security simulates determined adversaries across agent instructions, tool calls, connected systems, and multi-agent chains to expose real-world attack paths before they become incidents. Receive a board-ready assessment, technical evidence, and developer-ready remediation guidance designed for today’s rapidly evolving AI deployments.
Focused adversarial testing for AI agents, LLM applications, retrieval pipelines, and proprietary models.
Scenario-driven simulation of a determined adversary targeting your end-to-end AI deployment, including LLMs, agents, tools, and connected pipelines. Tests realistic exploit chains, documents business impact, and delivers prioritized remediation.
Test autonomous agents with tool access for tool-call injection, indirect prompt injection, privilege escalation, goal hijacking, unsafe delegation, and data exfiltration through legitimate channels. Includes MCP, multi-agent, LangChain, and OpenAI Assistants API review.
Assess retrieval workflows for cross-tenant document exposure, access-control bypass, vector database poisoning, query manipulation, and embedding inversion. Testing follows attacker-accessible application paths to validate whether confidential knowledge can be retrieved.
Apply more than 40 direct and indirect prompt injection, jailbreak, encoding, role-play, and multi-turn attack techniques. Identify system-prompt extraction, guardrail bypass, sensitive-data disclosure, and unintended agent actions.
Manually probe LLM applications across the full OWASP LLM Top 10. This engagement evaluates prompts, orchestration layers, tool outputs, and model behavior with reproducible evidence and stack-specific remediation guidance.
Measure what attackers can recover from proprietary fine-tuned models through memorisation probing, model fingerprinting, behavior reconstruction, and targeted queries. Surface training-data leakage, model IP theft, and cloning risks before release.
Agentic AI red teaming goes beyond isolated vulnerability checks. Vynox Security models how a determined attacker could manipulate instructions, compromise tool calls, pivot through connected systems, and pursue a meaningful objective across your AI environment. Our Deep Secure engagement combines threat modeling, end-to-end attack-surface mapping, novel adversarial testing, and realistic exploit chaining—then turns validated findings into clear priorities for engineering leaders, boards, and compliance stakeholders.
See how security-conscious teams strengthen AI products with actionable, adversarial testing.
AI-native testing built to turn complex attack paths into practical security improvements.
Test LLMs, RAG pipelines, agents, APIs, and infrastructure as one connected attack surface.
Scenario-driven exploit chaining shows how isolated weaknesses can create measurable business impact.
Receive evidence, reproduction steps, severity context, and stack-specific remediation guidance for developers.
Map findings to SOC 2, ISO 27001, and EU AI Act security evidence requirements.
Responsive security specialists focused on safer AI deployments.
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 red teaming is a structured, adversarial assessment that simulates how a determined attacker could compromise an AI system. Rather than only listing isolated flaws, it tests realistic objectives such as hijacking an agent’s goals, extracting sensitive data, bypassing guardrails, or abusing connected tools. The result is evidence of impact, prioritized risk, and practical remediation guidance for the full AI deployment.
Talk with a security specialist to scope the right assessment.
4.6/5 from 10 verified reviews.
Testing mapped to OWASP LLM Top 10.
SOC 2 and ISO 27001 support.
Share your AI architecture, agent permissions, and security goals. We’ll help scope a focused assessment and explain the expected testing approach, timeline, and deliverables.
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