UK-Based · Independent AI Security · FinTech · HealthTech · LegalTech

Adversarial security testing
for LLM applications.

NuvynAI is an independent AI security practice. We test the layer standard security reviews miss: prompt injection, jailbreaks, PII leakage, and the failure modes that only appear under adversarial pressure.

Every assessment runs on tooling built in-house: 31 deterministic detection patterns across 10 threat categories, each match returning a named pattern, a severity, a CWE reference, and a remediation string.

Three Ways to Work
With NuvynAI

Rapid Security Assessment

A systematic 48-hour assessment of your LLM deployment covering 5 of the OWASP LLM Top 10 (LLM01, LLM02, LLM03, LLM05, LLM10). We run 31 detection patterns against your live endpoints, identify what your stack is vulnerable to, and deliver a written report with severity-rated findings and a prioritised remediation roadmap, something concrete you can show a CTO, CISO, or enterprise client.

⟶ Report delivered in 48 hours
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AI Firewall Testing

We test it the way attackers do — with contextually obfuscated prompts, multi-turn manipulation, and domain-specific attack vectors your firewall has never seen. You get a gap analysis and vendor-agnostic recommendations grounded in real adversarial findings, not benchmarks.

⟶ Full adversarial testing in 3 days
Discuss your stack →
Ongoing Security Retainer

AI systems evolve fast. New models, new endpoints, new agent capabilities — each one a new attack surface. A monthly retainer keeps your security posture current as your product changes. Includes monthly audits, threat intelligence briefings, quarterly red team exercises, and priority access for incident response when something unexpected lands.

⟶ Continuous coverage, monthly cadence
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How It Works

From First Call to
Secured Deployment

01
Discovery Call

30 minutes. We map your LLM stack, identify your highest-risk surfaces — inference endpoints, RAG pipelines, agent integrations — and scope the engagement precisely. No sales pitch. Technical from minute one.

02
Threat Assessment

48-hour systematic testing using our 31-pattern detection framework, covering 5 of the OWASP LLM Top 10 (LLM01, LLM02, LLM03, LLM05, LLM10): prompt injection, data extraction, jailbreaking, PII leakage. Run against your live endpoints.

03
Written Report

Severity-rated findings, proof-of-concept exploits for each vulnerability, and a prioritised remediation roadmap. A document you can share with your board, enterprise clients, or legal team. No vague recommendations.

04
Remediation Support

Optional hands-on implementation of fixes — including Guardrail API integration for ongoing protection. Verified re-testing confirms each finding is resolved. You leave with a clean posture document, not just a to-do list.

Detection examples

A sample of prompt-injection patterns the engine flags, shown with its real severity output. Full adversarial testing is scoped per engagement.

Instruction override
BLOCKED · CRITICAL
DAN roleplay jailbreak
BLOCKED · CRITICAL
Developer-mode bypass
BLOCKED · CRITICAL

Built by a Practitioner,
Not a Consultant

The gap nobody owns — we own it

Your security team tests OWASP Top 10. Your AI team knows the model. Neither knows adversarial LLM behaviour at scale. That gap is where prompt injection, PII context bleeds, and jailbreaks land. That's exactly what we test.

Products in production, not slides

The Guardrail API is live, and the same detection engine powers every assessment. NuvynFlow runs deployed workflows. The tooling exists because the practice needed it — you get the discipline that built it.

Security is a commercial accelerator

Enterprise clients run due diligence on your AI stack. Investors ask about AI risk. A clean written security report isn't just a technical artefact — it's a sales asset that removes blockers and shortens deal cycles.

aria-framework — 31-pattern scan
$ aria scan --target production-llm --vectors 31
Loading 31-pattern detection framework...

$ Running full adversarial test suite
⚠ CRITICAL: Prompt injection via system override
⚠ HIGH: Indirect prompt injection — external content instruction
⚠ HIGH: PII extraction via role confusion
⚠ HIGH: System prompt disclosure probe
✓ PASS: Direct jailbreak — DAN variant (blocked)
✓ PASS: Structured extraction probe (blocked)

── Scan complete. Report generation in progress ──
4 CRITICAL/HIGH findings. Remediation roadmap attached.

Products

Tooling Built for
the Practice.

01 / 03
Guardrail API
Real-time Threat Detection

A production security layer that sits between your users and your LLM. Built against the OWASP LLM Top 10 — the threat list standard security reviews don't cover. Every match returns a named pattern, a severity, a CWE reference, and a remediation string.

  • Prompt injection & jailbreak detection
  • Capability-probe detection (boundary reconnaissance, flagged for review)
  • PII leakage interception before model exposure
  • Deterministic pattern matching — no LLM in the detection path
  • 31 detection patterns across 10 threat categories
02 / 03
NuvynFlow
Secure Agent Orchestration

AI workflow automation with security built in from the start — not bolted on after an incident. Purpose-built for teams running agents across internal systems where a single compromised step cascades downstream.

  • Orchestrate agents across your entire operation
  • Intelligent model routing — right model, right task
  • Audit trail on every agent decision
  • GDPR-compliant data handling & deletion
  • Capability confinement — agents can only do what you allow
  • Real-time Slack alerting on anomalous behaviour
03 / 03
C4
In Development

The governance layer for engineering teams shipping with AI-assisted development. C4's security gates are modelled on Claude Code's native hook architecture — PreToolUse intercepts before execution, exit code 2 blocks the operation entirely. Enforcement at the tool-call level, before anything reaches your codebase.

  • Pre-execution interception on every AI tool call
  • Token usage tracking & team spend controls
  • Automated quality gates on AI-generated output
  • Full session audit trail for compliance
  • CI/CD pipeline integration — security in the workflow
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Get Started

Let's Talk About
Your LLM Stack.

Start with a free teardown: a live, consent-based walkthrough of one attack surface on your stack, on a 20-minute call. We'll map your threat surface, show you what an attacker sees, and tell you exactly what a full engagement would cover — no obligation, no sales deck.

Prefer email? nuvyn@nuvynai.com  ·  Book directly: cal.com/nuvyn