With expanded connectivity, the spectrum of devices that are susceptible to cyber-attack is constantly increasing. Beyond this, given the increased processing power and capabilities of everyday IoT/embedded devices, cyber-attacks that previously only targeted endpoints (e.g., botnets, ransomware, DoS, DDoS, etc.) are now broadly applicable. Unfortunately, current cyber-threat detection solutions are still not well suited for heterogeneous computing platforms and are often only applicable to known threat vectors given their signature-driven nature. This inherently gives the attacker an edge over the defender - a dilemma we aim to address with the proposed hardware-assisted cyber-attack detection solution with AI/ML. The proposed solution has broad applicability within DHS, other government agencies as well as commercially.
