What is Secure Things?
Secure Things operates at the intersection of automotive engineering and advanced cybersecurity. The company provides a comprehensive, real-time security architecture designed to protect connected vehicles from the telematics unit down to the in-vehicle network and Electronic Control Units (ECUs). By utilizing sophisticated machine learning algorithms, the platform offers an adaptive defense system that evolves alongside emerging threat vectors.
Beyond immediate threat mitigation, the company utilizes a big data analytics platform to provide OEMs with actionable intelligence. This includes forensic analysis, attack trend monitoring, and proactive alerts that empower manufacturers to make informed business decisions. This capability is essential for reducing the risk of costly vehicle recalls and informing future architectural designs, effectively bridging the gap between operational security and long-term product reliability.
How much funding has Secure Things raised?
Secure Things has raised a total of $3.5M across 1 funding round:
Unspecified
$3.5M
Unspecified (2022): $3.5M with participation from SAB Holdings, 9Unicorns, Inflexor Ventures, and RPG Ventures
Key Investors in Secure Things
9Unicorns
An accelerator program dedicated to transforming early-stage companies into successful ventures by providing mentorship, strategic guidance, and access to a global network of industry leaders.
SAB Holdings
A diversified investment firm focused on long-term capital appreciation and strategic partnerships within the technology and industrial sectors.
Inflexor Ventures
A venture capital firm specializing in early-to-growth stage technology investments, with a focus on deep-tech and enterprise software solutions.
What's next for Secure Things?
With this major strategic investment, Secure Things is expected to scale its operations to meet the complex requirements of modern, software-defined vehicles. The company will likely focus on deepening its integration with global automotive supply chains and enhancing its machine learning capabilities to address the next generation of cyber threats. As the industry shifts toward autonomous driving, the firm's ability to provide granular, in-vehicle network security will be a key differentiator. Future growth will likely center on expanding its analytics suite to provide even deeper insights into fleet-wide security posture, ensuring that OEMs can maintain compliance and safety standards in an increasingly digitized transportation ecosystem.
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