Untrusted input
Web pages, emails, documents and tickets can carry instructions that influence an AI workflow if controls are weak.
AI & Agent Security
Know what your AI agent can expose before someone else does.
A focused, human-led security check for one public assistant, internal copilot or tool-using agent workflow. Designed for UK, Nordic and international teams that need a clear first answer — not a vague fear campaign.
One authorised workflowNon-destructive scope3 business days after authorisation
Security starts with the real workflow.Authorised scope first. Evidence-based findings second. Clear remediation path always.
Written authorisation before testingHuman-led reviewNo local-drive scannerOne clearly bounded systemPrioritised remediation actionsWritten authorisation before testingHuman-led reviewNo local-drive scannerOne clearly bounded system
Why this exists
An AI agent is more than a chat window once it can read, decide or act.
The fast check is built around practical exposure points in the real workflow — external instructions, access to business data and actions performed through connected tools.
Over-broad access
We examine whether the agreed agent can reach more data, tools or actions than the business purpose requires.
Weak action controls
We look for missing approvals, unclear audit trails and insufficient boundaries before an agent can act.
The focus
We test the workflow around the model — not a magical black box.
Connectors, system prompts, permissions, retrieval sources, tool actions and approvals create the exposure surface. The pilot gives you an evidence-led starting point.
See the deliverable first
A report you can read before you buy.
The 11-page sample uses a fully synthetic support-agent scenario. It shows the level of clarity, the risk register and the remediation-oriented format — no invented customers and no hidden benchmark claims.
- Executive summary for decision-makers
- Scope, test boundaries and risk rating method
- Prioritised findings with owner-friendly actions
- Retest criteria and practical next steps
Clarity before alarm.Illustrative working scene — the sample report contains no customer data or case study.
How the pilot works
A small, accountable engagement — from scope to usable actions.
1
Choose the workflow
Name one AI assistant, copilot or agent workflow that its owner is authorised to discuss.
2
Confirm scope
We agree the boundaries, safe test cases, contacts and the environment before work starts.
3
Authorise testing
Written permission is recorded. Payment by itself is never testing permission.
4
Receive actions
Within three business days after scope and authorisation: findings, priorities and practical next steps.
Start small, learn quickly
One entry offer. One sensible next step.
The pilot is deliberately bounded. A broader AI Application Security Baseline is discussed only where the initial findings justify it.
AI Agent Exposure Check
£510 one time · GBP shown, EUR and more at checkout
- One authorised AI assistant, copilot or agent workflow
- Up to 10 focused, non-destructive checks
- Prioritised report and remediation actions
- Delivery target: three business days after authorised scope
FAQ
Plain answers before a security engagement.
Do I download software or let you scan my computer?
No. This is not a local-disk scanner. It is a human-led assessment of a specific AI assistant, copilot or agent workflow that you explicitly authorise.
Will you test my live production system?
Only with written authorisation and an agreed scope. Where a safe staging environment exists, that is generally preferable. We do not begin from a payment alone.
What kind of AI systems fit the pilot?
Public customer assistants, internal knowledge copilots and agent workflows that call tools or take bounded actions are good starting points. The intake confirms whether the pilot is the right fit.
What happens when I ask for the sample report?
Your request is recorded as an AI security report lead in the Blackcarrot sales workflow. You receive a synthetic sample report immediately; it is not a customer case study.
Can you promise that our AI is secure?
No responsible provider can do that. The deliverable is a bounded assessment of the agreed scope at a point in time, with evidence, priorities and suggested improvements.
What is prompt injection, and is it part of the check?
Prompt injection is when text the AI reads — a webpage, an email, a support ticket, an uploaded document — carries hidden instructions that the assistant follows as if they came from you. It is the most common way an AI agent is steered off course, so untrusted-input handling is one focus area of the check, together with jailbreak-style attempts to bypass the system prompt.
Is this a penetration test, a compliance audit or a certification?
None of the three. It is a bounded security assessment of one AI workflow. It does not produce an ISO 27001, GDPR or EU AI Act certification, and it is not a full-scope penetration test of your infrastructure. What it gives you is evidence about a specific AI system and a prioritised list of what to fix first — often the practical first step before a wider security audit.
Can an AI assistant or chatbot leak customer data?
It can, when the assistant reaches more than its purpose requires. The usual routes are retrieval sources holding records the user should not see, connected tools that expose API keys or credentials, and answers that quote internal documents verbatim. The check looks at what data the agreed agent can actually reach, not only at what it was designed to reach.
How is this different from an automated security scan?
A vulnerability scanner tests servers and software versions. It does not read a system prompt, follow a tool-access chain, or judge whether an agent should be allowed to take an action at all. This check is human-led and looks at the workflow around the model: permissions, retrieval sources, tool actions and approval steps.
Give your AI workflow a real security baseline before it becomes a business problem.
See the report format, buy the focused pilot or ask a practical scope question. No false testimonials. No automated scare scan.