FRAMINGHAM, Mass.--(BUSINESS WIRE)--Prelert, the anomaly detection company and Alert Logic, a leading provider of Security-as-a-Service solutions for the cloud, today announced an OEM partnership enabling Prelert’s machine learning analytics to be included in Alert Logic’s Security-as-a-Service solutions. This agreement enhances Alert Logic’s ability to detect threats that are designed to bypass traditional signature-based approaches.
Alert Logic’s Security-as-a-Service platform keeps data and infrastructure safe and compliant wherever it resides – including public and private clouds, hybrid environments or on-premises – through a set of fully managed products and services. The company maintains partnerships with the largest cloud and hosting service providers and offers its customers continuous protection down the application stack through a 24×7 Security Operations Center that analyzes, escalates and works with customers to remediate threats with actionable intelligence.
“Integrating Prelert’s anomaly detection engine into our big data platform creates a powerful combination of security analytics techniques, allowing us to identify unknown and advanced threats across petabytes of machine data we manage for our customers.” said Alert Logic’s Chief Strategy Officer, Misha Govshteyn. “Our objective has always been to help our customers respond to the most relevant security incidents before they impact their business. Working with Prelert allows us to leverage massive amounts of machine data we process every day to identify precursors to security breaches at the earliest possible moment and maintain our historically high degree of accuracy, even when advanced attackers employ sophisticated tactics to avoid detection.”
Prelert’s Anomaly Detective engine uses advanced analytics based on unsupervised machine learning to process and cross-correlate millions of data points in real-time, automatically learning normal behavior patterns and identifying statistical outliers that may indicate successful breaches and data exfiltrations. In May 2014, Prelert opened its API giving enterprise application developers, technology vendors and cloud service providers such as Alert Logic the ability to utilize its machine learning engine in their products and environments.
“Security paradigms solely reliant on identifying already ‘known’ threats are proving inadequate when used against today’s advanced cybercriminals,” said Mark Jaffe, Prelert’s CEO. “As a result, leadership organizations are starting to aggregate data accumulated from security devices, web servers and network equipment, and then processing it with advanced machine learning analytics to identify suspicious activities that would otherwise go unnoticed.”
About Alert Logic
Alert Logic provides security and compliance for cloud, hybrid, and on-premises infrastructure, allowing customers to benefit from deep security insight and continuous protection at a lower cost than legacy security offerings. Fully managed by a team of experts, the Alert Logic Security-as-a-Service solution provides network, system and web application protection immediately, wherever your IT infrastructure is deployed. Alert Logic partners with the leading cloud platforms and hosting providers to protect over 2,700 organizations worldwide. Built for cloud scale, our patented platform manages Petabytes of data, analyzes 255 million security events monthly, and identifies 40,000 incidents a month that are managed by our security operations team. Alert Logic is based in Houston, Texas, and was founded in 2002. Alert Logic recently expanded internationally by establishing UK offices in London and Cardiff. For more information, please visit www.alertlogic.com.
About Prelert
Prelert is the anomaly detection company. Its automated behavioral analytics make it easy for users and developers to uncover real-time insights into the operational opportunities and risks hidden in massive data sets. By using unsupervised machine learning technology, Prelert enables non-data scientists to go beyond the limits of search to quickly derive value from their organization’s data. To learn more, please visit www.prelert.com or follow @Prelert.
