Time saver!
August 11, 2021

Time saver!

Oliver Cabrejo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with KnowBe4 PhishER

KnowBe4 is currently used throughout the organization. It helps us categorize and quarantine all threats that arrive in our users' email inboxes. By integrating KnowBe4 into our security infrastructure, we have found that it has saved us time and money. It helps us save time and allows us to focus on more important issues and projects.
  • Machine learning
  • Automating threat management
  • Alert configuration
  • Better integration to outlook
  • Better explanations on email structure presentation
  • More training available regarding email threat analysis
  • Machine learning
  • Automation
  • Quick actions allow you to easily start a series of actions from one click of a button
  • Time saver
  • Allows us to focus on more important matters
  • Threat management
To be honest, this is the first time I have used a tool like this. So I can't compare it to other tools that offer this kind of service. I did do my due diligence and based on several comparative studies and research, I decided to go with KnowBe4 because they are the industry leader.

Do you think KnowBe4 PhishER delivers good value for the price?

Yes

Are you happy with KnowBe4 PhishER's feature set?

Yes

Did KnowBe4 PhishER live up to sales and marketing promises?

Yes

Did implementation of KnowBe4 PhishER go as expected?

Yes

Would you buy KnowBe4 PhishER again?

Yes

This is a necessity if you don't want to find yourself dealing with all the reported threats one by one.
You will see the benefits from day one and the more the machine learning algorithm is fed, the better it gets.
An example scenario is when an employee reports a threat through the add-in installed and deployed on all Outlook clients. The threat is then sent to the PhishER platform, where the administrator inspects it, analyzes it and takes action based on the results.
If it is a threat, it is retained and used as an example to feed the machine learning algorithm, if not, the email is released and sent back to the user with a comment telling the user it's a safe email.

KnowBe4 PhishER Feature Ratings

Company-wide Incident Reporting
10
Integration with Other Security Systems
8
Centralized Dashboard
10
Machine Learning to Prevent Incidents
10
Live Response for Rapid Remediation
10