AWS IoT Device Defender vs. Forescout Platform

We have used AWS IoT Device Defender to safeguard our client's IoT senors placed in a manufacturing unit for implementing Industry 4.0 solutions. Its machine learning and automation capabilities have ensured that we get alerts whenever something abnormal or spike in a particular metric is detected which lets us sleep at night. Didn't find any scenario where it is less suited.

I strongly recommend using it in networks where many machines enter, it is essential to have a capture of all ids, mac etc to prevent and detect unauthorized machines.We are in the technological era and there is a lot of technological robotization looking for weak systems to enter.Invest in greater security and that does not happen to you.

Incentivized

• software is having an easy interface
• prevents malicious data inflow/outflow from the AWS resources
• collect data from different devices
• generating alerts in case of any threshold.
• Unique identity per device

• Great in monitoring what applications versions are running and on what devices.
• Good identification of unmanaged devices and segregating them.
• Endpoint visibility.

Incentivized

• Support to more range of Application vulnerabilities
• Data Management can be richer
• Limited Computing Power at times

• Grow the Forescout community to help in addressing concern for a larger audience via channels
• More training and demos for latest FS versions released
• GUI can be made more interactive and aesthetic in appearance

Incentivized

They are prompt in their response with a complete resolution once they have identified the problem. Other OEM's generally give stop-gap arrangements and then later come with new upgrade versions. This gives downtime tasks to customers often, which isn't appreciated. Given the criticality of this software, their support is prompt.

Incentivized

CounterACT was the product that was able to do exactly what we were looking to accomplish and that was to block non-company owned devices from connecting to our network based on our criteria. It will allow us to decide if a blocked device should be allowed on our network temporarily

Incentivized

• It's ML part which is already trained and on the top of that we can add our own model to define device behaviors to monitor traffic and set the upmost security.

• We have been able to achieve deeper levels of security.
• It has been able to counter most threats through the detection of rogue devices and segregating them.
• Fostered accountability as guests' devices is signed in by employees so as to track activities they may be undertaking.

Incentivized