Author
Enterprise Sales Lead
Aaron leads enterprise sales at Aona AI, working with CISOs, CIOs, and security leaders to help organisations take control of their AI footprint. He brings deep expertise in enterprise security, risk management, and AI governance.
March 26, 2026
AI hallucination is when AI systems generate false information confidently. Learn the enterprise risks, real-world examples, and how to prevent AI hallucinations.
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March 23, 2026
Why your DLP solution can't stop agentic AI data leaks: the technical gaps around API calls, context windows, and semantic exfiltration—plus what to do instead.
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March 23, 2026
A practical step-by-step framework for AI agent governance: inventory, classify, approve, and monitor. Built for GRC teams and CISOs starting from zero.
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March 19, 2026
How generative AI tools create privacy risk under GDPR, the Australian Privacy Act and other frameworks - and practical steps to manage your organisation's AI data exposure.
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March 19, 2026
Learn what an AI system inventory is, why it's required under the EU AI Act and Australian privacy law, and how to build one that actually captures shadow AI usage.
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February 27, 2026
ChatGPT in the enterprise creates real data privacy and compliance risks. This guide covers access controls, data classification, DLP integration, and what your AI policy must include before you roll it out.
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February 23, 2026
Spot the warning signs of Shadow AI in your organisation. 10 red flags that indicate unauthorised AI usage and how to regain control.
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February 21, 2026
Learn how to measure and maximize the ROI of AI governance. Discover the business case for investing in AI oversight and compliance.
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A practical guide to AI risk assessment for enterprises. Learn how to identify, evaluate, and mitigate risks across your AI deployments.
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February 20, 2026
PromptSpy is the first malware to weaponise a commercial LLM. Here's what it means for enterprise AI security and why Shadow AI visibility is now critical.
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January 30, 2024
On World Data Privacy Day, explore how observability, monitoring, and proactive strategies can prevent AI data leaks.
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