Mirror Security, a GenAI-native cybersecurity startup, has raised $2.5 million in a pre-seed round led by Sure Valley Ventures (SVV) and Atlantic Bridge, marking a strong early validation for its encrypted AI security technology.
Building Global Teams and Accelerating Product Development
The fresh capital will be used to expand the company’s engineering and AI security teams across Ireland, the US, and India, and fast-track product development in encrypted inferencing and secure fine-tuning. Mirror Security is also preparing for an aggressive entry into the US enterprise market, where demand for AI confidentiality and compliance solutions is climbing rapidly.
Founded in 2024 by Pankaj Thapa and Aditya Narayana K, the company is a research-driven spin-out from University College Dublin with operations spanning three continents. Its mission is to solve one of enterprise AI’s biggest adoption barriers: processing sensitive data securely during model training and inference.
A Full-Stack “Security of AI” Platform
Mirror Security’s integrated platform includes:
• AgentIQ – full-spectrum agentic security for autonomous AI agents
• DiscoveR – automated red-teaming for continuous AI vulnerability testing
• VectaX – a Fully Homomorphic Encryption (FHE) engine enabling AI to process encrypted data without ever exposing it
This FHE-powered approach allows enterprises to maintain end-to-end data confidentiality, even as models perform complex tasks.
Strategic Partnerships Strengthen Market Entry
Mirror Security recently signed a major agreement with Inception AI, a G42 company, to deploy its full AI security suite across Inception’s enterprise and government network. Other technology collaborations include Intel, MongoDB, Qdrant, SiSys AI, and Accops, expanding its ecosystem and integration readiness.
Final Take
As enterprises move deeper into AI adoption, Mirror Security’s encrypted, privacy-preserving technology positions it as a crucial enabler bridging the gap between powerful AI models and uncompromised data security.
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