Across all industries, cybersecurity is not optional any more, and simple threat detection is no longer enough. Cybersecurity is now a strategic and comprehensive approach that covers remediation and system reliability, making Edge security critical as the number of cyber-related threats grows by the day. AI EdgeLabs addresses these challenges by leveraging rich expertise in AI, machine learning, and deep reinforcement learning to create an all-in-one cybersecurity platform that integrates detection, defense, and remediation to keep your Edge and IoT infrastructures productive and safe.
The retail industry is severely hit with cyberattacks. The failure to include cybersecurity strategies in retail exposes sensitive data to hackers and makes the industry a common target.
Cyberattacks in the automotive industry are becoming progressively worse, more sophisticated, and harder to detect, all while vehicles become more connected and smarter.
New and better technologies create new cyberattack vectors. In the railway industry, key vulnerabilities include control systems, rail traffic and operations, and corporate data.
Edge and IoT vulnerabilities are the leading cause of cyber attacks on the manufacturing industry, highlighting the need for organizations to prioritize robust cybersecurity strategies.
Rising cyber threats in the telecommunications industry is a major cause for concern as it sets out to build, control, and operate infrastructure that must be protected.
Transportation & logistics
The global supply chain industry of transportation & logistics is heavily hit with cyberattacks, even as it recovers from the fluctuations in availability of goods from the last couple of years.
Food and agriculture cybersecurity rarely gets the attention it demands. See the positive and effective use of cyber protection against attacks on agriculture Edge and IoT infrastructures.
Protecting electronic information and assets against cybersecurity attacks like ransomware or unauthorized access is critical to the confidentiality and integrity of sensitive medical records.