Securing the Future for AI.
You’re deploying AI faster than your security architecture can keep up. Prompt injection, data poisoning, RAG failures, shadow AI across your workforce. These aren’t theoretical risks. They’re in your systems today. Quinine Cybersecurity finds and fixes AI vulnerabilities before they become incidents.
AI deployment has outpaced AI security by years.
Organisations are shipping LLMs into production chatbots, knowledge systems, decision engines without understanding the attack surface they're creating. Most have no visibility into prompt injection risks, training data integrity, or how their RAG pipelines fail under adversarial conditions. That gap is where breaches happen.
AI Security, From Model to Mission.
Specialist security assessments for organisations deploying AI from LLM penetration testing to RAG pipeline hardening.
LLM Security Assessment
We test your LLM the way an attacker would. Prompt injection, jailbreak attempts, system prompt extraction, hallucination triggers, and output manipulation. You get a prioritised report with clear remediation steps, not a list of theoretical risks.
RAG Security & Hardening
Your RAG pipeline connects your AI to your most sensitive data. We test for unauthorised document retrieval, embedding poisoning, vector index enumeration, metadata leakage, and filter bypass. If your AI can access it, we find out whether an attacker can too.
Upcoming Services
Agentic AI Testing
Security testing for autonomous AI agents. Privilege escalation, tool misuse, multi-agent chain exploitation, and uncontrolled action sequences.
Shadow AI Discovery
Your employees are already using AI tools you don't know about. We map every AI application across your organisation, score the risk, and identify policy gaps before regulators do.
API & Endpoint Security
AI systems don't operate in isolation. We test the APIs and endpoints that connect them to your business fuzzing, BOLA, IDOR, and authentication bypass for AI-connected infrastructure.
Who We Work With.
Startups Shipping AI
You're building fast. Your AI product is live or near launch, and your investors, clients, or regulators are starting to ask hard questions about security. You need a focused assessment that gives you a clear answer without slowing down your roadmap.
Most startup assessments scoped & delivered within two weeks.
Book an assessment →Regulated Industries
You've deployed LLMs or RAG systems into a regulated environment. Financial services, legal, healthcare, insurance. Your compliance team is asking about the EU AI Act. Your CISO wants to know what happens when someone tries to break your AI.
Ask us about our EU AI Act readiness assessment.
Get EU AI Act ready →Enterprise AI at Scale
You have multiple AI systems in production across different teams. Shadow AI is already in your organisation. You need visibility into what's deployed, where the vulnerabilities sit, and how your AI attack surface maps to your existing risk framework.
Book a discovery call to map your AI attack surface.
Map your attack surface →Three Steps to Secure.
Discovery
We map your AI architecture, understand your threat model, and define what's in scope based on your risk appetite and compliance obligations.
Assessment
Hands-on adversarial testing against your live AI systems. We simulate real attacks, not automated scans. Manual, methodology-driven, and tailored to your deployment.
Report & Remediation
You receive a detailed findings report with severity ratings, reproduction steps, and remediation guidance your engineering team can act on immediately. Executive summary included for board-level reporting.
The EU AI Act enforcement deadline is 2 August 2026. Is your AI deployment ready?
Book a Discovery Call →Aligned to the frameworks your board and regulators expect.
Testing against every category in the OWASP Top 10 for LLM Applications.
Comprehensive testing against the OWASP Top 10 for web application vulnerabilities.
Adversarial threat modelling using the MITRE ATLAS framework for ML attack taxonomy.
AI management system standard governance, risk assessment, responsible deployment.
Alignment to the NIST AI Risk Management Framework for AI-specific risks.
Information security management system standard — ensuring AI deployments sit within a robust security governance and risk management structure your enterprise clients already expect.
Alignment to UK data protection requirements and the upcoming UK AI regulatory framework — ensuring your AI deployments are compliant with both existing GDPR obligations and forthcoming AI-specific legislation.
Readiness assessment and compliance alignment ahead of the August 2026 enforcement deadline. We assess your AI systems against EU AI Act risk classifications and identify gaps before regulators do.
Built for enterprise rigour.
Every assessment mapped to the industry standard for LLM vulnerabilities
Threat modelling aligned to the ML adversarial threat landscape
Compliance-aligned testing ahead of August 2026 enforcement
Clear pricing, defined timelines, no scope creep
The Founder
Chinmay Khuspare
Founder & CEO
I am an MSc Cybersecurity postgraduate from NCSC-certified Lancaster University. I built Quinine Cybersecurity because I saw the same pattern across every organisation deploying AI: the models shipped fast, the security came later, and the gap kept growing. Quinine exists to close that gap. We provide hands-on AI security testing for companies that take their AI deployments seriously.
View LinkedIn →Book a Discovery Call.
Tell us what you're building and we'll scope an assessment.
Or email us directly: contact@quininecybersecurity.co.uk