AI Is Moving Faster Than Your Security Controls.

 April 9, 2026, AI

The rapid adoption of Generative AI (GenAI) tools such as ChatGPT , Microsoft Copilot and Google Gemini have created a massive, unmanaged data loss surface in many organisations.

In 2025, a contractor for the New South Wales (NSW) Government uploaded an Excel spreadsheet containing sensitive personal and health information of up to 3,000 flood victims into ChatGPT to summarise it. The incident was deemed a major data breach involving the exposure of highly sensitive personal data.

As AI tools become embedded in everyday workflows, organisations must balance innovation with governance, security and compliance.

Stephen Mullaney

Stephen has seen IT and cybersecurity from every angle: corporate, integrator, and vendor so he’s seen the good and the bad across the industry. Today, he helps organisations lock down their data across cloud and AI.

We do this by:                                                                                                                                                                                                                                       

  • Unified AI Visibility Dashboard – Complete visibility into sanctioned and unsanctioned AI usage, user actions, data flows, and risk scoring across 80,000+ cloud and AI applications, supporting audit, risk, and governance requirements.
  • LLM Model Integrity (DSPM) – Leveraging Data Security Posture Management (DSPM) capabilities to ensure sensitive training data stored in cloud repositories is secured and not misused to train custom AI models.
  • Real-Time Coaching & Compliance – Contextual, real-time coaching messages guide employees away from policy violations, reducing accidental data exposure and supporting governance frameworks such as the EU AI Act and NIST AI RMF.
  • Shadow AI Discovery – Identification of unsanctioned AI usage by tracking user activity, mapping data flows between applications and GenAI services, and analysing email authentication events typically triggered when signing up to new cloud services.
  • Granular Data Protection for AI – Real-time inspection of GenAI prompts and responses to prevent sensitive data – such as source code or regulated information from being entered into large language models. Includes advanced redaction and watermarking capabilities.
  • Context-Aware Access Controls – Advanced instance awareness to distinguish between personal and corporate instances of AI applications like ChatGPT, Gemini and Copilot.

Mitigate AI Risk. Enable Productivity. Achieve Governance.

If AI security is top of mind while ensuring no productivity loss, reach out to our team.

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