Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Protect Sensitive Data from LLMs | AI Data Privacy Demo

AI tools like ChatGPT, Gemini and other LLMs are powerful — but what happens when sensitive data gets sent to them? In this video, we demonstrate how Protecto AI prevents sensitive information from reaching LLMs using Masking APIs and Unmasking APIs. You’ll see a real workflow where user prompts containing credit card details and personal data are automatically masked before being processed by an AI model like Gemini 2.5 Flash.

Fraud Prevention 101: How Accounting Services Can Save Your Business

Running a company involves many moving parts. Keeping the finances safe is a full-time job for any owner. Thieves often look for weak spots in your books to take what you have built. Professional eyes help spot trouble before it grows into a crisis. You can keep your profits safe with the right systems in place. Modern tools make this task much easier for everyone involved in the daily operations.

You Can Create a Convincing Deepfake in Under an Hour

A non technical user can produce a credible deepfake in under an hour using off the shelf tools and footage from normal video meetings. Common habits such as recording calls for later review give attackers enough material to train models, so every routine sales or onboarding call becomes potential training data. ⸻ For more information about us or if you have any questions you would like us to discuss email podcast@razorthorn.com. We give our clients a personalised, integrated approach to information security, driven by our belief in quality and discretion..

AI in Cybersecurity Certification

Positive feedback can lead to unintended consequences. A dog learned that saving kids from the River Seine earned food and praise. So he started dragging them in to “save” them. AI models optimize for feedback in a similar way. Cato’s AI in Cybersecurity course shows how to manage the risks. It’s free and earns you CPE credits.

An AI Agent Didn't Hack McKinsey. Its Exposed APIs Did.

This week’s McKinsey incident should be a wake-up call for every enterprise moving fast to deploy AI. Not because AI itself is inherently insecure. But because too many organizations are still thinking about AI security at the model layer, while the real enterprise risk sits in the action layer: the APIs, MCP servers, internal services, and shadow integrations that AI agents can reach, invoke, and manipulate. That is the part most companies still do not see.

Why Soft Guardrails Get Us Hacked: The Case for Hard Boundaries in Agentic AI

One recurring theme in my research and writing on agentic AI security has been the distinction between soft guardrails and hard boundaries. As someone who serves on the Distinguished Review Board for the OWASP Agentic Top 10, and who spends every day thinking about how to secure agents across enterprise environments at Zenity, this distinction is not academic. It is potentially the single most important conceptual framework practitioners need to internalize right now.

How Governments Use AI Safely | AI Governance Explained

How are governments using AI while protecting citizens’ data and privacy? In this episode of AI on the Edge, Ciara Maerowitz, Chief Privacy Officer for the City of Phoenix, explains how cities implement AI governance, manage bias, ensure transparency, and assess AI risks. Learn how responsible AI frameworks, policies, and risk management help governments safely adopt artificial intelligence.