AI Breach Assessment
Investigate suspected AI compromise by reviewing prompt, retrieval, and agent activity to establish exposure scope, likely attack paths, and priority controls.
Establish whether your AI environment has already been compromised, what data or systems may be exposed, and how an attacker likely gained access. Vynox Security investigates suspicious LLM behavior, retrieval activity, agent actions, and infrastructure signals with an adversarial mindset. Receive a focused assessment, evidence-backed findings, and practical remediation guidance to contain risk and prevent recurrence.
Focused adversarial assessments to uncover exposure, validate attack paths, and strengthen AI systems after suspected compromise.
Investigate suspected AI compromise by reviewing prompt, retrieval, and agent activity to establish exposure scope, likely attack paths, and priority controls.
Manually probe LLM applications for prompt injection, jailbreaks, sensitive-data disclosure, guardrail bypasses, and system-prompt leakage across the OWASP LLM Top 10.
Test retrieval workflows for cross-tenant exposure, unauthorized document access, vector database poisoning, access-control bypasses, and embedding inversion risks.
Assess autonomous agents for tool-call injection, goal hijacking, privilege escalation, unintended actions, and data exfiltration through legitimate tool channels.
Measure whether adversaries can recover proprietary training data, model behavior, fine-tuning signatures, or valuable model intellectual property through targeted queries.
Simulate determined adversaries across models, agents, and pipelines to demonstrate realistic multi-step attack impact and validate defensive readiness.
Assumed breach testing moves beyond checking whether a control exists. Vynox Security examines how an attacker could manipulate AI behavior, access restricted retrieval data, hijack agent tools, or extract sensitive model information. Our specialists validate realistic paths manually, document defensible evidence, and prioritize remediation by impact. You receive technical reproduction steps for engineers and clear exposure context for leadership, compliance, and incident-response decisions.
See how security-conscious teams gain clarity and confidence across complex AI attack surfaces.
Specialized testing that gives AI teams practical clarity when exposure cannot be ruled out.
Purpose-built methods assess LLMs, RAG pipelines, agents, and infrastructure—not just conventional application flaws.
Human-led adversarial testing confirms real attack impact beyond automated scanner output and false positives.
Developer-ready remediation includes evidence, reproduction steps, severity context, and stack-specific guidance for faster fixes.
Findings map to SOC 2 and ISO 27001 evidence needs, supporting documented incident-response obligations.
Responsive specialists for AI security investigations and 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.
Assumed breach security testing starts from the premise that an attacker may already have gained a foothold or manipulated part of your environment. Rather than only looking for theoretical weaknesses, it investigates likely attack paths, accessible data, affected systems, and evidence of compromise. For AI systems, this includes prompts, retrieval activity, agent tool calls, model behavior, and connected infrastructure.
Discuss your AI exposure concerns with a security specialist.
10 verified customer reviews on G2.
Full AI risk coverage framework.
Supports SOC 2 and ISO 27001.
Share the behavior, alert, or security concern you are seeing. Vynox Security will help scope a focused assessment and recommend the right path to validate exposure.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.