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The $2.5M SBIR technology investment will help fund a portable, easy-to-use, automated vulnerability scanning solution to effectively and efficiently assess the cyber security posture of embedded devices. In Phase I, ObjectSecurity successfully developed a working proof of concept of the automated technology, supporting extracting the embedded device firmware via embedded systems ports (JTAG, UART etc.) followed by software vulnerability analysis beyond traditional signature-based assessments. The automated technology uses deep learning to intelligently and adaptively choose the best course of action, which ObjectSecurity researched as part of another prior SBIR contract that focused on traditional enterprise networks.