SparkCognition, the world’s leading industrial artificial intelligence (AI) company, and SkyGrid, a Boeing, SparkCognition Company, announced a new collaboration to deploy AI-powered cybersecurity directly on drones, protecting them from zero-day attacks during flight. Equipped with SparkCognition’s DeepArmor® cybersecurity product, SkyGrid is the first airspace management system to enable drone protection powered by AI. This approach provides more advanced airspace security than traditional anti-malware reliant on signatures of known threats.
Integrated with SkyGrid’s airspace management system, AerialOS™, the DeepArmor product can be deployed directly on drone hardware to function 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.
“We leveraged cutting-edge AI research and technology to build the DeepArmor product, which allows it to protect endpoints against 99.9% of never-before-seen threats,” said Sridhar Sudarsan, Chief Technology Officer at SparkCognition. “In addition, the product’s uniqueness lies in its ability to provide top-rate endpoint protection on the lowest footprint with minimal interference – all in varying degrees of connectivity. This is the true overarching security differentiator from which SkyGrid’s customers will see value.”
The DeepArmor product suite leverages SparkCognition’s patented machine learning technology combined with a defense in depth mantra to provide multiple layers of protection on an endpoint – 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.