AI Adversarial Assessment Platform
Understand how your complete AI system behaves, fails and exposes risk under adversarial conditions, with defensible evidence to support security, compliance and deployment decisions.
Built on Recognised AI Security Methods and Tooling
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Provion combines established security frameworks, adversarial testing tools and structured assessment workflows to test AI systems in a consistent, repeatable way.
AI security testing is becoming easier to access. The harder problem is turning test output into clear, contextualised and defensible evidence of what it means for the security of the complete AI system. Provion closes the gap between running tests and having evidence security teams can understand, defend and use.
AI systems connect models to data, tools, APIs, permissions and workflows. Security depends on how those components behave together.
Automated tests can surface failures, but security teams still need to understand what happened, why it matters and whether controls held.
Security teams need scoped, traceable evidence they can explain and use to support security, compliance and deployment decisions.
Core Assessment Offer
Structured adversarial assessment of one AI system, producing defensible evidence for security decisions.
Assess one complete AI system across the areas most likely to expose security risk. Provion combines defined scope, adversarial testing and structured analysis to produce contextualised findings, supporting evidence, severity ratings and remediation guidance for security, compliance and deployment decisions.
Coverage
We assess the complete AI system, not just the model. We look across the layers that shape how it behaves in production: prompts, guardrails, agents, tools, data, integrations, dependencies and runtime controls.
Assess prompts, input handling, output controls, guardrails and orchestration logic to uncover weaknesses that could lead to prompt injection, jailbreaks, unsafe outputs or policy bypass.
Assess agents, tool connections, permissions, memory and multi-step workflows to uncover how systems could be manipulated, escalated or misused through external tools, data and actions.
Assess the model and data layer for adversarial weaknesses including poisoning, data leakage, inversion, membership inference, extraction and bias exploitation.
Assess third-party components, APIs, dependencies, deployment controls, logging, authentication and runtime protections to uncover risk across the infrastructure supporting the AI system.
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.
AI System Readiness
Answer 10 questions to check one AI system across technical controls, security testing and supporting evidence, and identify gaps before assessment begins.
Who Provion Is For
Provion is built for organisations where security teams need clear, defensible evidence of how AI systems behave under adversarial conditions before supporting deployment.
Defensible evidence of how an AI system fails, whether controls hold and where meaningful exposure remains, supporting security decisions, risk discussions and remediation priorities.
Reproducible findings that help engineering teams understand failure paths, investigate affected controls and prioritise remediation.
Structured evidence and documented findings that support internal assurance, auditability and regulatory requirements.
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.
