LLM application security audit
Direct and indirect prompt injection, data exfiltration, guardrail bypass, context leakage. Architecture review and concrete adversarial testing.
Prompt injectionExfiltrationGuardrails
Secure session
File — AI security
Service · Specialty in development
Secure your AI systems
Audits of LLM applications and agents, red teaming, model supply-chain assessment. AI in production, evaluated the way an adversary would.
In development
A specialty under construction. Our methods draw on the state of the art (OWASP LLM Top 10, MITRE ATLAS); we scope every engagement precisely and say so clearly when a test falls outside our current perimeter.
The problem
An AI system is not an application like any other
Its attack surface goes beyond the code: it includes its natural-language inputs, the tools it can act on, its memory and context, and the supply chain of the models it embeds. Each of these is a vector.
Attack surfaceAI · LLM / AGENT
Five surfaces, evaluated the way an adversary would — not just the model, but everything around it.
What we do
Five angles of evaluation
AI agent security assessment
Agents with tools, access and autonomy. Tool misuse, privilege escalation, unintended actions, the blast radius of a hijack.
Tool useEscalationBlast radius
AI red teaming
A structured offensive campaign against your AI system and its environment, up to realistic business scenarios — not just lab cases.
Business scenariosRealistic adversaryActionable report
EU AI Act security reading
Classifying your systems by risk level, identifying applicable obligations and a compliance plan — the security angle, not just the legal one.
Risk classificationObligationsCompliance plan
AI supply-chain security
Third-party models, datasets, dependencies, downloaded weights: poisoning, backdoor and unverified-provenance risks.
ProvenancePoisoningDependencies
What you receive
Reproducible results, not general principles
01
Attack-surface map
Inputs, tools, memory, guardrails, supply chain — seen as an adversary would.
02
Adversarial-testing report
Reproducible vulnerabilities, severity, vectors and trigger conditions.
03
Prioritised remediation plan
Fixes sequenced by real impact, compatible with your operations.
04
AI Act compliance reading
Applicable obligations and gaps, from a security angle.
Who it's for
Organisations putting AI into production
Product teams integrating LLMs or agents, regulated sectors, organisations exposing an AI system to their customers or sensitive data. If your AI can act, read or decide, its attack surface deserves to be assessed.
Have your AI system assessed
contact@adinavprotection.fr
Precise scoping of the perimeter · Reply within 48 business hours
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