AI Agent Testing
Test autonomous agents with tool access for tool-call injection, goal hijacking, agent chaining, privilege escalation, and data exfiltration through legitimate channels.
Secure autonomous AI agents before tool access becomes business risk. Vynox Security tests agentic workflows for tool-call injection, indirect prompt attacks, privilege escalation, goal hijacking, and data exfiltration—using adversarial techniques validated by human security experts. Get clear evidence, developer-ready remediation guidance, and security coverage aligned to OWASP LLM-08, whether you are preparing a production launch, customer review, or compliance assessment.
Focused adversarial testing for autonomous agents, LLM applications, retrieval systems, and the sensitive tools they can access.
Test autonomous agents with tool access for tool-call injection, goal hijacking, agent chaining, privilege escalation, and data exfiltration through legitimate channels.
Manually probe LLM applications with 40+ prompt injection and jailbreak techniques to identify guardrail bypasses, prompt leakage, and sensitive-data disclosure.
Assess whether crafted user inputs, retrieved documents, tool outputs, or multi-turn conversations can override system instructions and redirect agent behavior.
Test retrieval paths for cross-tenant document exposure, access-control bypasses, vector database poisoning, query manipulation, and embedding inversion risks.
Simulate determined adversaries across agents, LLMs, and pipelines to uncover chained attacks that demonstrate realistic business and security impact.
Measure whether targeted queries can reveal proprietary training data, fine-tuning signatures, model behavior, or intellectual property from deployed models.
Vynox Security evaluates your AI agent as an attacker would: through prompts, documents, connected tools, delegated agents, and the permissions behind them. Testing is designed around the actions that matter most when agents can write records, access customer data, initiate payments, or send communications. You receive reproducible findings, evidence, CVSS scoring, and stack-specific remediation guidance your engineers can use to strengthen controls before release.
See how security-conscious teams strengthen AI systems with Vynox Security testing.
Purpose-built testing and practical support for the AI attack surface.
Test LLMs, RAG pipelines, autonomous agents, and supporting infrastructure through one specialized security partner.
Expert-led adversarial testing verifies real exploitability beyond automated scanner output and generic security checks.
Every finding includes evidence, reproduction steps, CVSS scoring, and stack-specific remediation guidance for engineers.
PTaaS aligns testing with model updates and sprints, with same-day staging retests after fixes deploy.
Security specialists focused on clear, collaborative AI 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 agent security testing is an adversarial assessment of autonomous systems that can use tools, access data, or complete actions. It examines whether an attacker can manipulate prompts, retrieved content, tool outputs, permissions, or agent-to-agent workflows to redirect goals. Testing focuses on outcomes such as unauthorized API actions, file exfiltration, record deletion, payment misuse, and privilege escalation.
Speak with a security specialist to scope the right assessment.
4.6/5 from 10 verified reviews
AI risk testing aligned to OWASP
SOC 2 and ISO 27001 support
Book a 30-minute discovery call to review your agent’s tools, permissions, highest-risk workflows, testing scope, indicative timeline, and pricing.
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