Automate and optimize your MTTD and MTTR in case of a cybersecurity attack

SIEM / SOAR systems automation security

The Internet of Things (IoT) and 5G are accelerating business transformations across industries such as manufacturing, energy & utilities, building, transportation, healthcare and more. Traditional IT security measures fall short in protecting sensitive Industrial Control Systems (ICS). The air-gap between IT and Operational Technology (OT) systems are a thing of the past as more enterprise OT systems are connected to enterprise applications to boost operational efficiency, provide real time diagnostics capability, and get better visibility into the operational aspects.


The ransomware attacks have grown significantly with sophistication and are very difficult to detect and respond. Today, the average dwell time of an attacker is approximately 100-150 days which is enough to exfiltrate sensitive information. Therefore, it is not only important to prevent attacks but also in the event of an attack it is important to detect them with minimum Mean Time To Detect (MTTD), create security incidents, apply the best corrective actions with automated response to reduce the Mean Time To Respond (MTTR). People are the biggest factor in reducing MTTD and MTTR. 


Waylay’s Low-Code automation platform and patented rules engine provide intelligent threat detection and automated response capabilities which can be integrated into existing Security Information and Event Management (SIEM) and Security Orchestration and Automated Response (SOAR) systems to safeguard the IoT/OT/ICS systems. 


The Bring Your Own Machine Learning (BYOML) capabilities of Waylay treat AI/ML models as 1st class rule citizens, enabling advanced pattern recognition and anomaly detection on time series data for a wide range of security and attack prevention scenarios. All of it in near real-time thanks to the platform's support for serverless functions. See below an example on how to implement an IIoT security use case with Waylay Automation.


Related Articles

No items found.