Being locked out of your account because you mistyped your password is not only frustrating, it takes up valuable IT staff time as it has to be treated as a genuine security threat and investigated before resetting.
Behavior analytics specialist Exabeam has produced a solution to the account lockout problem that uses machine learning to model lockout behavior and apply that logic and related rules to its latest release.
This also records how many times a user has been locked out in the past so companies can add that information to the user's behavior history.
"Exabeam Version 2.0 empowers companies to maintain strict security policies without relegating their security teams to futile, endless lockout investigations triggered by everyday user errors," says Nir Polak, Exabeam's CEO. "Separating true security risk from accidental lockouts is no longer a full-time job".
Other features of the latest Exabeam include user watchlists, allowing admins to create arbitrary lists of employees and contractors that will require special monitoring. For example, a customer might create a watchlist of all users whose systems had malware within the past month, to detect potential re-infection.
Security alert searches allows the entry of an alert from another security product and the ability to view a timeline of all users and activities connected to that alert. It can also use organizational information to automatically identify all machines -- laptops, smartphones, etc -- used by company executives, to enable special data monitoring rules as required.
Exabeam 2.0 will be on display at Splunk.conf15 in Las Vegas this week or you can find out more on the company's website.
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