Both SAFURE and nIoVe target automotive security — SAFURE through mixed-critical cyber-physical systems with automotive use cases, nIoVe directly through a cybersecurity framework for Internet-of-Vehicles.
ESCRYPT GMBH
German cybersecurity SME specializing in embedded security and adaptive cyber frameworks for connected and autonomous vehicles.
Their core work
ESCRYPT is a German cybersecurity SME based in Bochum that specializes in embedded security and secure system design, with a strong focus on the automotive sector. Their core work involves designing and validating security architectures for cyber-physical systems — particularly vehicles that communicate with infrastructure, other vehicles, or the cloud. In EU research projects, they contribute as technical specialists, bringing commercially applicable security engineering to academic-industrial consortia. Their work spans the full cycle from threat modeling and risk assessment through to proof-of-concept implementation in real industrial environments.
What they specialise in
SAFURE (2015–2018) was explicitly built around safety and security co-design for interconnected mixed-critical systems, validated across automotive and telecommunications sectors.
nIoVe (2019–2022) addressed cybersecurity for Internet-of-Vehicles including connected, autonomous, and V2X-capable vehicles with multi-layered response and recovery mechanisms.
nIoVe introduced ML and blockchain into ESCRYPT's toolkit for adaptive threat detection and response in vehicular networks.
nIoVe keywords include situational awareness and risk assessment, indicating ESCRYPT contributes to threat intelligence and operational security monitoring functions.
How they've shifted over time
In their first H2020 project (SAFURE, 2015–2018), ESCRYPT's focus was on safety-security co-design for mixed-critical cyber-physical systems, with validation across automotive and telecommunications use cases — a broad framing typical of early embedded security research. By 2019, with nIoVe, the scope narrowed sharply to Internet-of-Vehicles: connected and autonomous vehicle cybersecurity became the explicit domain, and the technology toolkit expanded to include machine learning, blockchain, situational awareness, and multi-layered incident response. The trajectory is clear: from general secure systems engineering toward deep specialization in connected mobility security.
ESCRYPT is converging on autonomous and connected vehicle security as a core domain, incorporating AI-driven detection and blockchain-based trust — making them a natural fit for future C-ITS, V2X, and autonomous mobility security projects.
How they like to work
ESCRYPT has never coordinated an H2020 project, always participating as a consortium member — a pattern consistent with an industrial SME that contributes specific technical expertise rather than managing multi-partner programs. Despite only two projects, they engaged 23 distinct partners across 9 countries, indicating participation in mid-to-large, internationally diverse consortia. This suggests they are comfortable operating as a specialist contributor within complex research programs led by others.
ESCRYPT has built connections with 23 unique partners across 9 countries through just two projects — an unusually broad network for such a small portfolio, pointing to participation in well-connected, multi-stakeholder consortia. No single geographic concentration is apparent from the available data.
What sets them apart
ESCRYPT occupies a rare position as a private SME with demonstrated EU research credentials in automotive cybersecurity — a domain where most participants are either large OEMs or universities, not specialist security firms. Their ability to deliver proof-of-concept implementations validated against real automotive and telecom industry use cases makes them a credible bridge between research consortia and commercial deployment. For consortium builders, they offer something hard to find: deep security engineering expertise with both the technical depth of a research partner and the commercial relevance of an industry actor.
Highlights from their portfolio
- nIoVeDirectly targets one of the most commercially urgent problems in transport — cybersecurity for connected and autonomous vehicles — using a combination of ML, blockchain, and adaptive response mechanisms that reflects the current state of the field.
- SAFURETheir largest funded project (EUR 456,250 EC contribution), tackling the methodologically complex challenge of integrating safety and security by design in mixed-critical cyber-physical systems, validated across automotive and telecom sectors.