Mirror Security has raised $2.5 million in pre-seed funding in a round led by Sure Valley Ventures and Atlantic Bridge, marking a significant milestone in the company’s push to expand its encrypted AI security platform. The Dublin-based startup is developing technology to protect sensitive data and secure large-scale artificial intelligence systems, as organizations face rising pressure to adopt AI responsibly and mitigate risks associated with data exposure and model manipulation.
The company traces its origins to the Ph.D. research of co-founder Dr. Aditya Narayana K, whose academic work in advanced cryptography laid the technical foundation for Mirror Security’s commercial offerings. Building on that research, the company has transitioned from a university project into an enterprise-focused provider of encrypted inferencing and AI security infrastructure. Its goal is to enable organizations to deploy robust AI systems while maintaining strict data confidentiality and ensuring model integrity.
Mirror Security’s platform is engineered to safeguard large language models and emerging agentic AI systems, integrating capabilities such as policy-driven agentic security, secure computation, and automated AI red-teaming. According to the company, its engineering team has spent the past several years converting cutting-edge cryptographic methods into scalable, production-ready infrastructure. This includes technology designed to ensure that sensitive data remains encrypted even while being processed by AI models, a capability increasingly sought by enterprises that operate in regulated or high-risk environments.
The funding round also included participation from several industry supporters and academic partners, including University College Dublin. The founding team additionally credits a group of advisors and research contributors who have supported the company’s development and early technical roadmap.
With the new capital, Mirror Security plans to grow its engineering organization, accelerate customer deployments, and broaden adoption across industries seeking to integrate secure AI into their operations. The company expects demand for encrypted AI solutions to rise sharply as regulations tighten and enterprise AI usage becomes more widespread.
