Cloud application security vendor Elastica recently announced a partnership with Cisco that allows Cisco to resell Elastica’s Cloud Access Security Broker solutions to its customers. The partnership between Elastica and Cisco gives Cisco customers access to Elastica’s CloudSOC portfolio which includes IT risk assessments, deep visibility regarding live cloud application traffic and the ability to detect risky actions on the part of enterprise employees. Elastica’s Shadow IT risk assessment enables customers to prioritize risk ratings of applications in addition to analytics on cloud application usage within an organization. Meanwhile, Elastica’s Shadow Data analytics provide insight into data governance and compliance-related risks with a view toward providing direction regarding how improved data governance and renewed approaches to IT compliance can mitigate an organization’s overall IT risk. Another core Elastica CloudSOC product offering provides deep insight into live cloud application traffic and user activity by leveraging machine learning and semantic technologies that can identify compromised user accounts, high risk transactions and threatening user accounts by means of a proprietary, algorithmic ThreatScore. Elastica’s cloud application security solution draws upon cloud application API data via Elastic securelets that connect to the backend of cloud applications, live cloud application data regarding networking traffic as well as usage patterns and log data from third party security solutions. Elastica’s partnership with Cisco complements solutions such as Cisco’s Cisco Cloud Web Security (CWS), Web Security Appliance (WSA) and Cisco Adaptive Security Appliance by providing deep visibility into analytics related to the security of SaaS and cloud applications more generally. Moreover, Elastica stands to gain access to Cisco’s expansive channel of customers while Cisco benefits from the data science expertise that Elastica brings to the conversation regarding cloud security. Expect to hear more about Elastica as its partnership with Cisco deepens and fuels accelerated product innovation in collaboration with the needs of its evolving customer base.
Alation today came out of stealth to announce a software platform that enables knowledge workers within enterprises to more effectively locate, understand and use data stored within their data infrastructures. Alation integrates knowledge of an organization’s data by using a combination of machine learning technology in conjunction with human curation processes to help organizations derive the maximum value from their data repository. The company’s technology platform crawls an organization’s databases to create the analogue of a Google PageRank for data elements that reflect how often the data has been used, who has used it, who originated the data and the degree to which it has been validated within the organization. Alation’s platform also features collaborative analytics that allow analysts to take advantage of the crowdsourced contributions of other analysts and data scientists. The collaborative analytics functionality enables users to take advantage of real-time annotations to data elements from other users within the organization that shed light on its significance, uses, reception and relationship to other data points and sets.
Other solutions offered by Alation include Data Warehouse Optimization, Data Governance frameworks and Data Search and Discovery that runs across distributed datasets by using natural language searches. Today’s announcement builds on Alation’s $9M Series A funding raise announcement in March. Alation already claims an impressive roster of customers that include eBay, MarketShare, Inflection and Invoice2Go. Unlike the bevy of Big Data analytics platforms that focus on analytic queries on streaming or distributed datasets, Alation’s innovation consists in its commitment to simplifying, streamlining and enriching access to data within an enterprise. By focusing on knowledge about data, Alation promises to accelerate both the quality of analytic deliverables as well as the cycle time required to produce data-driven insights by rendering data easier to find and contextualize. Expect to hear more about Alation’s ability to leverage machine learning technology to enhance the ability of analysts to locate data of interest as its platform consolidates on its early market traction and focuses the valences of its product development in collaboration with customer feedback.