Security

Mirror Security Launches Zero Exposure Code Solution for AI Coding Assistants at Black Hat 2025

Mirror Security

Mirror Security

Industry's first Fully Homomorphic Encryption solution for AI coding assistants unveiled at Black Hat, USA 2025

Industry's first Fully Homomorphic Encryption solution for AI coding assistants unveiled at Black Hat, USA 2025

Industry's first Fully Homomorphic Encryption solution for AI coding assistants unveiled at Black Hat, USA 2025

LAS VEGAS, NV — August 7, 2025 — Mirror Security today announced its official launch at Black Hat 2025, unveiling the industry’s first Zero Exposure Code solution that eliminates the critical data exposure risk posed by AI coding assistants. This represents the most significant advancement in secure AI-assisted development, solving the exposure crisis that has forced enterprises to choose between developer productivity and data protection. 

The Security Crisis Hiding in Every IDE 

As Mirror Security demonstrates at Black Hat USA 2025, attendees this week, AI coding assistants have created an unprecedented attack surface. Every code suggestion from tools like GitHub Copilot, Cursor, Windsurf, etc. requires transmitting entire files, API keys, proprietary algorithms, etc. to remote servers. This fundamental architectural flaw has transformed developer productivity tools into potential data exfiltration vectors. 

Every CISO is caught between board pressure to adopt AI for competitive advantage and the reality that current AI solutions create unacceptable exposure risks. We're here to show them there's finally an option. 

Real-world incidents have already demonstrated how proprietary code and credentials surface in AI model outputs, making this not a theoretical concern but an active threat. High-stakes sectors, including financial services, OEMs, defense contractors, and healthcare organizations, have been forced to ban these productivity-enhancing tools entirely. 

Live at Black Hat: Zero Exposure Code in Action 

Mirror Security's Booth #6814 demonstrations showcase how Fully Homomorphic Encryption (FHE), an encryption-in-use technology, fundamentally transforms AI-assisted development security. Built on optimized Fully Homomorphic Encryption (FHE) for AI workloads, the platform ensures AI coding assistants never access raw code while maintaining full functionality and performance. 

Live Demo Highlights at Booth #6814: 

Real-time AI assistance on encrypted enterprise codebases 

Zero-latency performance comparisons with traditional AI tools 

Threat modeling demonstrations showing the elimination of exposure vectors 

We're not asking enterprises to trust policies that data isn't seen, accessed, or appears in the training data pipeline. We're showing them mathematical proof that exposure is impossible. 

Revolutionary Architecture Meets Enterprise Reality 

The Zero Exposure Code solution addresses the fundamental security flaw in AI coding assistants through three breakthrough innovations: 

Mathematical Security Guarantee: Uses AI workload-optimized FHE to make code access technically impossible for AI coding assistants, cloud providers, or unauthorized parties — regardless of policies or insider threats. 

Production-Ready Performance: Optimized encryption delivers real-time AI assistance with optimal latency. 

Universal Integration: Works seamlessly with existing AI coding tools and development environments, ensuring minimal workflow disruption. 

 

About Mirror Security 

Mirror Security is a University College Dublin (UCD) spin-off pioneering the Security of AI, making AI work without seeing the data. We develop the industry's first fully homomorphic encryption (FHE) optimized for AI workloads, with operations in the USA, Ireland, and India. 

 

Media Contact: 

Mikela Capurro Wunder 

Phone:  +1 619 707 3244 

Email: mikela@mirrorsecurity.io 

Mirror Security

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Mirror Security

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Mirror Security

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