Air Canada
Its chatbot invented a refund policy. A tribunal made the airline honour it.
Legal liability · public case
AI runtime observability · Independent controlYour AI,
Your AI,
under control.
Skip observes the AI systems that speak to your customers. It inspects inbound and outbound exchanges, surfaces prompt injection, jailbreaks and data exposure, and turns production risk into evidence your product and security teams can act on.
Independent from the AI provider we assess · European company · Paris
Why it matters
An AI in production is an attack surface in production.
Hijacking a customer-facing assistant is not theoretical. The legal, brand and data risks are already documented.
DPD
Hijacked in a few messages, the assistant swore at its own brand. The screenshots went viral.
Brand damage · public case
Data exposure
A model can repeat sensitive data present in its context, creating a direct privacy risk.
Privacy · common risk
The platform
A control layer for your AI. Observation first.
Skip gives product and security teams one independent view of the exchanges their assistants handle. Every trial starts in mirror mode, outside the detection path, so teams can measure real exposure without interrupting the customer experience.
Customer-facing assistants today, tool-using agents tomorrow — one audit trail.
- Observe — every exchange, inbound and outbound, as production evidence.
- Detect & alert — on injection, jailbreak, extraction and potential data exposure.
- Report — in plain language for product, security and audit stakeholders.
Connect in minutes
Point one base URL at Skip. No client-side agent and no re-architecture of the application.
Start in observation
Mirror mode stays off the detection critical path while it measures real production exposure.
One view, two readers
Incidents are clear enough for the product owner and structured enough for the CISO.
Built to expand
The same control plane is designed to grow from chatbots to agents and their actions.
Start here · The audit
See your exposure in 3 days.
We red-team your assistant like an attacker would — under written authorization, on your test environment — and hand you the proof and a prioritized remediation plan.
Prompt injection
Make it ignore instructions and bypass business rules.
System-prompt extraction
Recover confidential instructions and pricing logic.
Jailbreak
Push it out of role and into unauthorized commitments.
Data leakage
Test for personal data, retrieval content and cross-user exposure.
Resource abuse
Turn the assistant into unintended compute on your bill.
- Day 0
Scoping — 30 min
Scope, environment and test window. Written authorization is signed.
- Days 1–2
Testing
Systematic attacks, then manual exploitation. Every attempt is time-stamped.
- Day 3
Report + readout
A written deliverable and a 45-minute presentation to digital and security teams.
The deliverable
- Executive summary — overall risk and three key findings in plain language.
- Proof — successful attacks, verbatim, time-stamped and reproducible.
- Severity — each finding scored by impact and ease of exploitation.
- Prioritized remediation — what to fix, in what order, and why.
Fixed price
Single assistant€3,500
Multi-channel / several bots€4,500
Fixed fee, not time-and-materials — the price is known up front.
Book the scoping call (30 min)Why Skip
Neutral by design. Built for evidence.
The hard part is not producing another alert. It is earning trust around a production AI system and making its risk legible to every stakeholder.
A neutral third party
We do not sell the AI model we assess. The provider is not asked to grade its own risk.
European by design
A European company based in Paris, designed around EU hosting and controlled data residency.
Availability first
Mirror mode begins outside the detection critical path, so an inspection issue does not interrupt the customer assistant.
15 years in network security
Founded on experience selling production security at Akamai, F5 and Radware.
Clear answers
AI runtime security, defined.
Short, factual definitions for teams evaluating the security of customer-facing AI.
What is an LLM firewall?
An LLM firewall is a runtime control layer that inspects prompts and model responses for attacks, unsafe behavior and data exposure. Depending on the operating mode and policy, it can alert, redact or block. Skip trials begin in observation-only mirror mode.
What is an AI red-team audit?
An AI red-team audit is an authorized, scoped security assessment that tries to manipulate an AI application as an attacker would. The output is evidence: reproducible conversations, severity ratings and a prioritized remediation plan.
What is prompt injection?
Prompt injection is an attempt to make an AI system follow attacker-supplied instructions instead of its intended rules. It can target a user prompt directly or enter indirectly through retrieved content and connected tools.
Does a Skip trial block production traffic?
No. The 30-day trial starts in mirror mode: traffic passes through while a separate asynchronous inspection records signals and alerts. Detection does not decide whether the customer request continues.
Your assistant is in production. Its risk is measurable now.
A 30-minute call is enough to decide whether an audit makes sense — and to see the structure of the deliverable.