AI Agent Testing
Test autonomous agents with tool access for tool-call injection, indirect prompt injection, goal hijacking, agent chaining, privilege escalation, and data exfiltration through legitimate channels.
Autonomous agents can turn a single malicious instruction into unintended tool calls, data exposure, privilege escalation, or destructive actions. Vynox Security tests the agent workflows traditional penetration tests often miss, from indirect prompt injection and goal hijacking to MCP, tool-use, and multi-agent risks. Get practical evidence, clear attack paths, and developer-ready remediation guidance before your agents act in production.
Targeted assessments uncover and validate exploitable risks across autonomous agents, their tools, models, data, and connected workflows.
Test autonomous agents with tool access for tool-call injection, indirect prompt injection, goal hijacking, agent chaining, privilege escalation, and data exfiltration through legitimate channels.
Manually probe LLM applications with 40+ injection and jailbreak techniques to identify guardrail bypasses, system prompt leakage, sensitive-data disclosure, and exploitable attack chains.
Focus on whether attackers can override model instructions through direct, indirect, multi-turn, encoded, or role-play prompts that cause unintended actions or disclosures.
Assess retrieval paths for cross-tenant exposure, access-control bypass, vector database poisoning, query manipulation, embedding inversion, and confidential document leakage.
Run scenario-driven adversarial simulations across models, agents, and pipelines to demonstrate realistic end-to-end attacker impact and prioritize critical defenses.
Investigate suspected AI compromise through prompt, retrieval, and tool-call history to establish exposure scope, likely attack paths, and prevention priorities.
Vynox Security assesses the full path from an agent’s inputs and system instructions to its tools, permissions, and downstream actions. Human-led testing validates whether crafted content can redirect goals, invoke unsafe APIs, reach restricted data, or exploit delegated agents. You receive evidence-backed findings, reproduction steps, CVSS scoring, and stack-specific remediation that helps engineering teams reduce risk without slowing AI delivery.
See how security-conscious teams use Vynox Security to validate AI systems and remediate meaningful risk.
Purpose-built testing that translates complex AI attack paths into practical engineering action.
Purpose-built assessments cover agents, LLMs, RAG pipelines, tools, and traditional infrastructure together.
Testing applies 40+ prompt injection and jailbreak techniques with human-led validation.
Developer-ready reports include reproduction steps, evidence, CVSS scores, and stack-specific remediation guidance.
PTaaS aligns testing with every sprint and model update, with same-day staging retests.
Security specialists who make AI assurance clear and actionable.
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.
Secure agentic AI by treating every model input, retrieved document, tool response, and delegated task as untrusted. Apply least-privilege permissions, require authorization checks at the tool and data layer, validate tool-call parameters, isolate high-impact actions, and maintain detailed logs. Then conduct adversarial testing for prompt injection, goal hijacking, privilege escalation, and data exfiltration before and after material agent or model changes.
Speak with a security specialist to scope the right assessment.
4.6/5 from 10 verified reviews
Full AI vulnerability framework coverage
Evidence aligned to key controls
Book a free 30-minute discovery call to map your agentic AI attack surface, discuss testing priorities, and receive indicative timelines and pricing.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.
To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.