IoT/ICS Threat Intelligence
CyberX doesn’t require you to become an expert in IoT and ICS security. It’s like having the world’s top IoT/ICS experts sitting beside you and advising you at each step.
IT’S NOT JUST ABOUT KNOWING…
IT’S ABOUT KNOWING WHAT TO DO
CyberX was the first IoT/ICS cybersecurity firm to establish an in-house team of IoT/ICS threat intelligence analysts and security researchers.
Named Section 52, our threat intelligence team is composed of world-class domain experts and data scientists who previously staffed a national CERT defending against daily nation-state cyberattacks. They bring that expertise to CyberX by tracking IoT/ICS-specific zero-days and CVEs as well as malicious DNS addresses, campaigns, malware, and adversaries.
The team has already submitted more than a dozen zero-day vulnerabilities to the US ICS-CERT, including previously unknown vulnerabilities for devices manufactured by Rockwell Automation, Schneider-Electric, GE, Siemens, CODESYS, AVEVA, and others.
Accelerating Operations with Actionable Insights
CyberX’s IoT/ICS threat intelligence is a continuous feed of information that’s seamlessly integrated with our platform to enrich our analytics. Our real-time alerts and Vulnerability Assessment report include detailed and actionable mitigation recommendations prioritized by risk — based on our threat intelligence — so your SOC analysts know what needs to be done immediately.
Our threat intelligence experts are also on-call to provide incident response and breach investigation services. What’s more, the team has developed specialized forensic tools for identifying and reverse-engineering malware. You can read the team’s analysis of the LockerGoga malware, as well as its analysis of the TRITON malware, which includes a never-before-published description of the custom protocol developed by the attackers to communicate with their backdoor in the safety PLC.
CyberX’s threat intelligence feed does not require an internet connection for updating. Updates can be applied manually as well automatically deployed to all appliances via the Central Manager.
KNOW MORE. KNOW BETTER. KNOW SOONER.
CyberX continues to lead the industry, helping customers stay one step ahead of adversaries.
Section 52 has developed an automated threat extraction platform that uses machine learning to identify malware and APT campaigns targeting industrial and critical infrastructure organizations. Named Ganymede, the platform continuously ingests massive amounts of data from a range of open and closed sources to deliver the most robust, data-driven analysis possible.
Machine learning and statistical models are used to assign risk scores to specific entities such as files. The risk scores are calculated by machine learning trained on datasets consisting of hundreds of thousands of known good and bad samples. Section 52 threat analysts are used in the final phase to review and correlate the results based on their extensive field experience.
Additionally, suspicious executables are detonated in CyberX’s IoT/ICS Malware Sandbox. Unique in the industry because of its focus on IoT/ICS-focused malware, the CyberX sandbox is a virtualized IoT/ICS environment that analyzes malware activity — using machine learning combined with static and dynamic analysis capabilities — to detect malware access to IoT/ICS-specific objects (processes, libraries, DLLs, ports, etc.). The sandbox then generates a collection of IoCs and representative screenshots of the malware in operation.
