We help security teams work smarter, allowing them to detect, investigate and respond to cyberattacks in 51 percent less time.

Security organizations no longer have to live with excessive logging fees, missed distributed attacks and unknown threats, or manual investigations and remediation. With the modular Exabeam Security Management Platform, analysts can collect unlimited log data, use behavioral analytics to detect attacks, and automate incident response, both on-premises or in the cloud.

WHY THE NAME EXABEAM?

When Nir, Domingo and Sylvain started brainstorming ideas for a company name, big data was the original source of their inspiration. The product would process a lot of data – many, many gigabytes. But ‘giga’ and ‘tera’ were already all over the tech company landscape. So, they went big – literally – thinking one billion gigabytes, otherwise known as an exabyte. They also considered the product would shine a light on the interesting patterns contained in huge volumes of log data, and voilà they landed on Exabeam, a combination of ‘exabyte’ and ‘light beam’.

Security practitioners can not be effective if they’re struggling to identify the most critical threats and remediate them manually. They need efficiency. Leveraging technology powered by machine learning and automation frees them up to respond to and solve problems that require human minds. This helps organizations reduce risk, and ultimately makes the world a safer place.

Move to the Smarter SIEM

The Exabeam Security Management Platform is a modern SIEM that helps security teams work smarter. Organizations can take advantage of its big data architecture, advanced analytics, and automation capabilities.

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Collect unlimited log data
The Exabeam security data lake combines a modern big data infrastructure and predictable user-based pricing so you can collect and quickly search all of your data sources in a central repository without making compromises due to lack of scalability or budget.

Detect and investigate complex and insider threat attacks
Exabeam’s user and entity behavior analytics (UEBA) solution detects anomalous behavior and suspect lateral movements within your organization while machine-built timelines further reduce the time and specialization required to detect attacker tactics, techniques, and procedures.

Automate and orchestrate incident response
Exabeam’s incident response solution allows analysts of all levels to combine out-of-the-box integrations with popular security solutions to automate response playbooks and replace manual, error prone processes to ensure timely, consistent results and improve response times.

Flexible deployment options
In addition to being deployed on-premises, the Exabeam Security Management Platform can be deployed on cloud infrastructure, as software-as-a-service or through a managed security service provider, to help CIOs and CISOs transition to the cloud.

Exabeam Advanced Analytics

The world’s most-deployed UEBA security solution – Modern threat detection using behavioral modeling and machine learning.

Complex Threat Identification with Behavioral Analysis

Cyberattacks are becoming more complex and harder to find. Often correlation rules can’t find the attacks because they lack context or miss incidents they’ve never seen — generating false negatives. Correlation rules also require significant maintenance. Advanced Analytics, Exabeam’s UEBA security solution, automatically detects the behaviors indicative of a threat. It fully integrates with Exabeam Threat Intelligence Services (TIS) to provide real-time actionable intelligence into potential threats in your environment by uncovering indicators of compromise (IOC) and malicious hosts.

Prebuilt Timelines Automatically Reconstruct Security Incidents

Analysts shouldn’t spend days or weeks gathering evidence and constructing timelines of incidents by querying and pivoting through their SIEM. With Advanced Analytics, a prebuilt-incident timeline flags anomalies and displays details of the incident for the full scope of the event and its context. Now analysts can stop spending time combing through raw logs to investigate incidents. What took weeks to investigate in a legacy SIEM can now be done in seconds with our UEBA security solution.

Align Detection to MITRE ATT&CK framework

Inconsistent taxonomy amongst security analysts and security tools complicates collaboration during threat detection and investigation. The MITRE ATT&CK framework solves this problem by providing a common framework analysts can use to describe attacker tactics and techniques. Advanced Analytics maps Exabeam detection methods and event labels to the MITRE ATT&CK framework allowing security analysts to view and filter MITRE techniques within Exabeam Smart Timelines. Analysts can mouse over labels to have a pop-up description of that technique appear, or click on labels to open the MITRE webpage providing a detailed description of that technique.

Customizable Case Management Designed for Security Teams

Managing SOC operations is expensive – it involves organizing resources and prioritizing incidents, in addition to investigating and mitigating those that impact your business. Another pain point is lack of skilled analysts to triage and prioritize incidents. The time required to quickly resolve incidents affects your bottom line. With Exabeam’s UEBA security solution, you can automate these tasks, to decrease mean time to resolution (MTTR), allowing your already stretched security staff to do more in less time. Exabeam Case Manager is fully integrated into Advanced Analytics enabling you to optimize analyst workflow and ensuring that no threats slip through the cracks.

Dynamic Peer Grouping

User behavior patterns often differ based on a myriad of attributes, including: the team they are on, what projects they are involved in, where they are located, and more. Thus, behavioral baselines shouldn’t be static. Dynamic peer grouping uses machine learning to assign users to groups based on their behavior, then to compare their activity against that of those groups to identify anomalous, risky behavior.

Lateral Movement Detection

Lateral movement is a method attackers use to move through a network by using IP addresses, credentials, and machines in search of key assets. Tracking is difficult because the trace information only tells part of the story. Data must be analyzed from everywhere, linking the attack to the source. The Advanced Analytics patented technology tracks suspected activities even if there are changes to devices, IP addresses, or credentials.

Asset Ownership Association

Another time-intensive part of performing a security investigation is the manual process of determining who owns or regularly uses the devices involved in an incident. There isn’t a convenient IT database linking devices to their owners, and mobile devices can exist outside of any tracking. Advanced Analytics is able to determine the owner of a device based on their pattern of behavior and interactions.