Core capabilities
Policy Control
Define, version, and enforce AI usage policies consistently across your organisation's systems and teams.
Example: Define who can access which AI models, with what data, under what conditions.
Compliance Readiness
Map governance controls to regulatory requirements and generate structured evidence for audits and reviews.
Example: Auto-generate audit trails aligned to EU AI Act, GDPR, HIPAA, NIST AI RMF, or ISO 42001.
Responsible AI
Embed fairness, transparency, and ethical oversight into AI operations as standard practice, not an afterthought.
Example: Detect and flag biased outputs, block sensitive data exposure, log every decision.
Why AI governance matters now
Enterprises are deploying AI at pace. But governance has not kept up. Without structured controls, organisations face regulatory risk, reputational exposure, and operational gaps they cannot easily close later.
Accelerating AI adoption
AI is moving from experiments to production across every enterprise function. Governance must be operational, not theoretical.
Fragmented oversight
Most organisations rely on scattered policies, manual reviews, and team-level controls. This creates blind spots and inconsistency.
Rising compliance expectations
Regulators, boards, and customers expect verifiable AI governance. Written policies alone are no longer sufficient.
Responsible AI as an imperative
Bias, fairness, and transparency are board-level concerns. Organisations need structured ways to monitor and enforce ethical standards.
The cost of waiting
What happens without AI governance
These are real incidents that impacted real enterprises. Each could have been prevented with proper AI policy enforcement.
Samsung Source Code Leak
Samsung employees pasted proprietary semiconductor source code and internal meeting recordings into ChatGPT. Confidential data entered a third-party AI system with no retrieval mechanism.
ChatGPT Payment Data Exposure
A bug in ChatGPT's infrastructure exposed chat histories and payment information of 1.2% of Plus subscribers, including names, email addresses, and partial credit card numbers.
Shadow AI Is the Norm
68% of enterprises report AI data leakage from employees sharing sensitive information with AI tools. Only 23% have comprehensive security policies addressing these risks.
Four steps to governed AI
Prunex applies a structured governance process to every AI interaction in your enterprise.
Inspect
Analyse prompts, responses, data flows, and tool calls across AI systems in real time.
Evaluate
Assess each interaction against your defined policies, rules, and compliance requirements.
Enforce
Apply actions automatically: allow, block, redact, or flag based on policy outcomes.
Audit
Record every decision with full context. Export structured evidence for reviews and regulators.
Where Prunex fits
Prunex operates as a governance layer between your enterprise environment and AI systems.
Built for enterprise governance
Prunex is designed for the teams and leaders responsible for safe, compliant AI adoption.
Security & Compliance Leaders
Enforce data handling policies and maintain audit-ready evidence across all AI systems.
Enterprise AI Teams
Scale AI adoption with built-in governance. Clear boundaries that enable faster, safer deployment.
Regulated Industries
Healthcare, financial services, legal, insurance, and critical infrastructure. Governance that meets sector requirements.
Digital Transformation Leaders
Integrate AI governance into enterprise transformation programmes from the start, not after the fact.
Built for the frameworks that matter
Prunex is designed to support governance requirements across major regulatory and compliance frameworks.
Risk classification, transparency obligations, and documentation requirements for AI systems deployed in or serving the EU.
Data protection and privacy requirements for AI systems processing personal data of EU residents, including automated decision-making safeguards.
Safeguards for AI systems handling protected health information, supporting compliance with healthcare data privacy and security requirements.
Structured approach to AI risk management aligned with the NIST Artificial Intelligence Risk Management Framework.
Support for organisations pursuing AI management system certification under the ISO/IEC 42001 standard.
Audit-ready evidence and controls documentation to support SOC 2 trust service criteria for AI operations.
Why Prunex
What makes our approach to AI governance different.
Ready to govern AI with confidence?
See how Prunex can support your organisation's AI governance requirements with a free compliance assessment or interactive demo.