Unhackable AI and Blockchain Protected Drones Will Have Companies Looking Up
On January 19 two important companies collaborated on a new project that make drones more secure from attempted hacks. Meet SparkCognition and SkyGrid.
SparkCognition, an (AI) company, and SkyGrid, a Boeing and SparkCognition company, are collaborating on AI-powered drone-based cybersecurity, protecting drones from attacks during flight. SkyGrid is the first and only airspace management system built on AI and blockchain, through SparkCognition’s DeepArmor® cybersecurity product. This approach provides more advanced airspace security than traditional anti-malware.
“In the near future, we’ll essentially have a network of flying computers in the sky, and just like the computers we use today, drones can be hacked if not secured properly,” said Amir Husain, CEO and founder of SparkCognition and SkyGrid. “In this emerging environment, traditional anti-malware technology won’t be adequate to detect these never-before-seen attacks. SkyGrid is taking a new, intelligent approach by using AI to more accurately detect and prevent cyberattacks from impacting a drone, a payload, or a ground station.”
Integrated with SkyGrid’s airspace management system, AerialOS™, the DeepArmor product can be used even when network connectivity is impaired or non-existent. The AI protection defends drones from “zero-day” attacks by leveraging models trained on the DNA of malicious files instead of relying on a signature database.
The DeepArmor product suite leverages SparkCognition’s machine-learning technology and defense to provide multiple layers of protection – instead of using known signatures, heuristics, or rules-based approaches. The software protects a wide range of endpoints, with its most recent addition to the product suite, DeepArmor Industrial, launched in collaboration with Siemens Energy and designed to protect operational technology assets across the energy value chain.
SparkCognition’s AI-first approach to cybersecurity and the DeepArmor product’s advanced threat detection models have been validated by multiple awards, including 2020 Cyber Defense Magazine’s award for best endpoint security and CRN’s 2020 Security 100 List.
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