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A Conversation with Alastair Paterson from Harmonic Security
In this conversation, I speak with Alastair Paterson, CEO and co-founder of Harmonic Security. We talk about: Harmonic Security’s Unique Approach to AI Data Protection: How Harmonic Security’s Zero-Touch Data Protection uses small language models to identify and prevent sensitive data leaks, differentiating it from traditional DLP solutions. Challenges of AI Adoption & Enterprise Security Risks: How enterprises are struggling to adopt Generative AI safely, as employees unknowingly expose sensitive data. The risks of shadow AI usage, and why visibility into AI applications is essential for organizations. Harmonic’s Browser-Based Solution for Secure AI Adoption: How Harmonic Security’s browser-based extension provides real-time monitoring and intervention, allowing enterprises to track AI adoption, prevent data leaks, and enforce security policies without disrupting productivity. ➡️ Get a DEMO and Take Advantage of Harmonic's GenAI Securely ul.live/harmonic ➡️ Check out Harmonic's Data leakage report "From Payrolls to Patents" ul.live/harmonic-data-leaked 00 Intro 00:12 Guest Introduction - Alistair and Harmonic Security 01:16 Background on Digital Shadows and Transition to Harmonic Security 02:50 The Impact of ChatGPT and Generative AI on Security 04:35 The Problem with AI Data Leakage and Enterprise Risks 06:20 The Evolution of Data Protection: From DLP to AI Readiness 08:45 The Challenge of Shadow AI in Enterprises 10:30 Understanding Harmonic Security's Zero-Touch Data Protection 12:15 How Harmonic Security Works - Browser Extension Overview 14:40 Detecting Sensitive Data in AI Prompts 16:50 Live Demo - Preventing Data Leaks in AI Chatbots 19:35 Visibility and Monitoring of AI Usage Across the Enterprise 22:10 Risk Classification and Training Data Considerations 24:05 Policy Enforcement and Customization Options 26:30 Future Developments - Expanding Coverage Beyond AI Apps 28:15 Final Thoughts and Where to Learn More Become a Member: https://danielmiessler.com/upgrade See omnystudio.com/listener for privacy information.
From "Unsupervised Learning"
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