Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI adoption is accelerating across enterprises — often faster than security teams can respond. Employees are using AI tools and copilots across SaaS apps and workflows, creating new exposure around sensitive data, shadow AI, and attack surfaces that traditional tools weren't built to see. This video breaks down the four AI security challenges every enterprise is facing, where existing controls fall short, and how Cato AI Security gives you visibility, guardrails, and enforcement across the AI your employees use, the applications you build, and the agents acting on your behalf.

Generative AI can produce realistic taxi receipts, complete with stains and wear, which blend into digital expense workflows that expect only a quick photo upload. As more organisations move to app based reimbursement, synthetic documents slip through unless controls, audits and behavioural checks keep pace with these tools. ⸻ 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 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.