Explained in 2 minutes
Organizations are at a greater risk to cyberattacks and data breaches than ever before. Almost half of all data breaches happening worldwide have an insider element to them. If these threats are not detected and remediated immediately, they can lead to serious consequences.
ManageEngine Log360's UEBA capability is powered by ML algorithms, so it delivers robust and accurate threat detection. It sets a baseline of expected activity for every user and entity, and flags any deviations from that baseline.
Log360 is a unified SIEM solution with anomaly detection capabilities. It uses ML algorithms to analyze patterns of users and other entities in the network. It helps you enforce tighter security measures by detecting behavior anomalies, and strengthens your defenses against insider threats and external attacks. The anomaly detection engine is called Log360 UEBA.
Spot deviant user and entity behavior, such as logons at an unusual hour, excessive logon failures, and file deletions from a host that is not generally used by a particular user.
The Log360 UEBA dashboard gives you greater visibility into threats with its score-based risk assessment for users and entities. This approach helps you determine which threats merit investigation.
Log360 UEBA identifies indicators of compromise (IoC) and attack (IoA), exposing major threats including insider threats, account compromise, logon anomalies, and data exfiltration.
With an effective UEBA solution, you can prevent three types of security risks—insider threats, compromised accounts, and data exfiltration. Choose any scenario below to see how UEBA performs in these situations.
A malicious engineer tries to sabotage the company.
A hacker compromises a user account and tries to gain unauthorized access.
A marketing manager attempts to exfiltrate data from the sales database.
An engineer named Steve is told that his contract is not being renewed.
Steve is not happy about his termination and wants to exact revenge on his organization.
An attacker named John sends a phishing email to Bob.
Bob opens the email and inadvertently starts downloading malware.
A marketing manager named Mindy decides to leave her organization and join a competitor as a sales director.
She decides to take the customer database with her.
Map different user accounts to build a baseline of expected behavior for each individual user and entity.
Identify anomalous user behavior based on activity time, count, and pattern.
Get more meaningful security context by associating a user's different actions with each other.
Spot abnormal entity behaviors in Windows devices, SQL servers, FTP servers, and network devices such as routers, firewalls, and switches.
Expose threats emanating from insider attacks, account compromise, and data exfiltration.
We wanted to make sure that one, we can check the box for different security features that our clients are looking for us to have, and two, we improve our security so that we can harden our security footprint.
Carter Ledyard
The drill-down options and visual dashboards make threat investigation much faster and easier. It’s a truly user-friendly solution.
Sundaram Business Services
Log360 helped detect insider threats, unusual login patterns, privilege escalations, and potential data exfiltration attempts in real time.
CIO, Northtown Automotive Companies
Before Log360, we were missing a centralized view of our entire infrastructure. Now, we can quickly detect potential threats and respond before they escalate.
ECSO 911
Log360 establishes behavioral baselines and identifies deviations that could indicate insider threats or compromised accounts.
