Adversarial Attack Simulation in Cybersecurity

Test your AI systems the way determined attackers do. Vynox Security simulates realistic attacks across LLM applications, RAG pipelines, autonomous agents, and supporting infrastructure to uncover exploitable weaknesses before they affect customers, data, or operations. Receive evidence-backed findings, practical reproduction steps, and developer-ready remediation guidance that helps your team strengthen defenses and ship AI products with confidence.

Cybersecurity expert analyzing AI attack simulation results

Our Adversarial Attack Simulation Services

Focused AI security engagements that expose realistic attack paths across models, data, agents, and application workflows.

AI Red Teaming

Scenario-driven simulation of a determined adversary targeting your LLMs, agents, and pipelines. Vynox chains techniques into realistic, end-to-end attack paths that demonstrate business impact and support adversarial assurance needs.

AI & LLM Testing

Manual adversarial probing of LLM applications using 40+ prompt injection and jailbreak techniques. Tests system-prompt protection, guardrail resilience, sensitive-data disclosure, and the OWASP LLM Top 10.

RAG Pipeline Testing

Tests the retrieval path from user query to retrieved content for document leakage, cross-tenant access, access-control bypass, vector database poisoning, and embedding inversion risks.

AI Agent Testing

Assesses autonomous agents with tool access for tool-call injection, goal hijacking, privilege escalation, indirect prompt injection, and data exfiltration through legitimate channels.

Model Extraction

Measures what proprietary model behavior, fine-tuning signatures, training data, and intellectual property an adversary can recover through targeted queries and analysis.

Prompt Injection Testing

A focused assessment of whether attackers can override model instructions through direct or indirect injections, encoding bypasses, role-play exploits, and multi-turn attack chains.

Adversary-Led Testing

Reveal Real AI Attacker Paths

Vynox Security goes beyond automated scanning by testing your AI deployment as an attacker would. Our specialists examine how prompts, retrieved documents, model behavior, agent tools, APIs, and permissions can combine into material security failures. You receive clear technical evidence, CVSS-scored findings, reproducible attack paths, and stack-specific remediation guidance. Every engagement can also map findings to OWASP LLM Top 10, SOC 2, ISO 27001, and relevant EU AI Act requirements.

Security specialist testing an AI application
Trusted Security Partner

Client Success Stories

See how security-conscious teams use Vynox to validate and strengthen their AI defenses.

"I find Vynox Security very professional and appreciate their great availability throughout the engagement. Their POC, Shubham, was very prompt in responding and always ready to help, making coordination very smooth and efficient."

Arpit A.
The Vynox Difference

Why Choose Vynox Security?

AI-native testing built for teams that need meaningful, actionable assurance.

AI-Native Coverage

Tests LLMs, RAG pipelines, agents, and infrastructure traditional pentests often miss.

Practical Fixes

Developer-ready, stack-specific guidance and reproduction steps accelerate remediation after vulnerabilities are found.

Continuous Validation

PTaaS aligns security testing with model updates and development sprints, not annual audit cycles.

Compliance Evidence

Findings map to SOC 2 and ISO 27001 evidence requirements for clearer assurance.

Meet the Vynox Team

Responsive security specialists focused on practical AI assurance.

Portrait of Karan Singh, Discovery Call Lead and Founder at Vynox Security

Karan Singh

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.

Portrait of Shubham, Security Engagement Lead at Vynox Security

Shubham

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.

Frequently Asked Questions

What is an attack simulation?

An attack simulation is a controlled security exercise in which specialists emulate the tactics, techniques, and objectives of a real attacker. Rather than only listing theoretical weaknesses, it tests whether vulnerabilities can be combined into an actionable path to sensitive data, system prompts, privileged tools, or business operations. The result is evidence of practical impact plus prioritized remediation guidance.

What are examples of adversarial attacks on an AI system?

How does AI red teaming differ from penetration testing?

What systems can Vynox test during an adversarial simulation?

How long does an adversarial attack simulation take?

Will testing disrupt our production AI application?

Do the reports support SOC 2, ISO 27001, or EU AI Act readiness?

Can Vynox retest fixes after remediation?

Still Have Security Questions?

Discuss your AI attack surface with a Vynox security specialist.

Trusted AI Security

Awards and Recognition

G2 rating recognition

G2 Rating

4.6/5 from 10 verified reviews

OWASP LLM testing coverage

OWASP LLM Coverage

Mapped testing across LLM risks

Compliance evidence recognition

Compliance-Ready Evidence

SOC 2 and ISO 27001 mapping

Start With Your AI Attack Surface

Book a 30-minute discovery call to review your AI and infrastructure stack, identify priority testing areas, and receive clear engagement options, indicative timelines, and pricing guidance.

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