Whole-System Testing
Assess the wider AI system across models, applications, guardrails, agents, tools, data, integrations and runtime controls.
AI Adversarial Assessment Platform
Provion is an adversarial assessment platform for AI systems. It enables European security teams to test complete AI systems under adversarial conditions and turn the results into clear, defensible evidence.
Why Provion
Security teams must decide whether an AI system is safe to deploy, whether its controls hold and where exposure remains. Those decisions need more than test output — they need clear, contextualised evidence of how the system behaves under adversarial conditions and what the results mean.
Provion assesses one named AI system across the layers that shape its behaviour in production. Findings connect system responses to severity, impact and remediation, giving security, engineering and governance teams evidence they can inspect and act on.
How a Provion Assessment Works
The Provion Platform assesses one AI system at a time, combining defined scope, adversarial testing and structured analysis to produce contextualised findings, supporting evidence, remediation guidance and a structured report.
Security, engineering and governance teams can review the same assessment record, including results, coverage and evidence behind each finding.
Assess the wider AI system across models, applications, guardrails, agents, tools, data, integrations and runtime controls.
Turn adversarial test results into clear findings that show what happened, why it matters, whether controls held and where meaningful exposure remains.
Turn findings into structured, traceable evidence covering severity, impact and remediation that security teams can understand, explain and act on.
Provion is an adversarial assessment platform for AI systems, developed by Protokol, a European technology company with experience building trust infrastructure for emerging technologies. Protokol has worked across European Blockchain Services Infrastructure, Digital Product Passports, EU-aligned innovation projects and regulated technology environments.
That work taught us how emerging technology becomes auditable and documented while regulatory expectations are still forming. AI systems need the same foundations: structured testing, traceable evidence and clear documentation that security teams can use to support deployment decisions.
Learn About Protokol →Contributor to European Commission blockchain infrastructure programmes.
Production solutions delivered ahead of ESPR enforcement.
Participant in EU-funded research consortia on auditable systems.
Team

Chief Executive Officer

Chief Marketing Officer

Head of Project & Delivery

Chief Technology Officer

AI Engineer

AI Engineer

AI Engineer

Head of Process & Compliance

Product Marketing Manager
Tell us which AI system you want assessed and what security questions you need answered. We'll scope the attack surface, testing priorities and evidence needed to support the decisions that follow.