SecureAuth Announces Identity And Access Management Platform For SaaS Applications

SecureAuth Corporation today announced details of SecureAuth Cloud Access, a cloud-based platform that delivers single sign-on functionality and multi-factor authentication to SaaS applications within the enterprise. SecureAuth Cloud Access streamlines and simplifies identity and access management by giving enterprises a unified user interface for managing access to SaaS applications, thereby enabling IT administrators to more effectively track, monitor and control access to cloud-based applications from devices operating within their IT infrastructure. With support for over 8000 SaaS apps, SecureAuth Cloud Access also boasts the ability to customize parameters for the activation of multi-factor authentication. For example, customers can decide to configure multi-factor authentication in the event that a user attempts to authenticate from black-listed geographies or tries multiple authentications from such geographically disparate locations with a frequency that raises suspicions about the legitimacy of the authentication attempts. An expansion of its on-premise counterpart, SecureAuth IdP, SecureAuth Cloud Access delivers analytics on the adoption of SaaS applications, usage trends and password strength to bolster the security of SaaS applications within their environment. As such, SecureAuth Cloud Access responds to the proliferation of SaaS apps within enterprises and empowers organizations to more effectively manage SaaS identity access management in ways that align with security protocols and practices used for their on-premise applications.


BigPanda Emerges From Stealth To Manage Deluge Of IT Alerts And Notifications

BigPanda today launches from stealth to tackle the problem of managing the explosion of alerts and notifications that IT administrators increasingly receive, daily, from myriads of applications and devices. The Mountain View-based startup integrates alerts and notifications from disparate sources into a consolidated data feed that parses unstructured data into structured data to create an aggregated alerts and notifications data repository. BigPanda’s proprietary analytics subsequently run against the integrated data repository to enable the creation of topologies and relationships, time-based analytics and statistical analytics as indicated by the screenshot of an incident dashboard below:

Examples of statistical analytics include probabilistic determinations that the concurrent appearance of notification A, B and C is likely to lead to outcome X as suggested by historical data about the conjunction of the notifications in question. The platform’s machine-learning technology incrementally refines its analytics in relation to incoming data and thereby iteratively delivers more nuanced analyses and visualizations of notifications-related data. Overall, the platform enables customers to more effectively manage the tidal wave of data from notifications that bombard the inboxes of IT administrators by facilitating the derivation of actionable business intelligence based on the aggregation of notifications from discrete systems and applications.

As told to Cloud Computing Today by BigPanda CEO Assaf Resnick, the platform integrates with monitoring systems such as New Relic, Nagios and Splunk and additionally provides REST API functionality to connect to different applications, deployment infrastructures and ITSM tools. Moreover, BigPanda today announces the finalization of $7M in Series A funding in a round led by Mayfield with additional participation from Sequoia Capital. The $7M funding raise brings the total capital raised by BigPanda to $8.5M, following upon a $1.5M pre-Series A seed round of funding from Sequoia Capital. Deployed as a SaaS application that runs on AWS infrastructure while leveraging a MongoDB NoSQL datastore, BigPanda fills a critical niche in the IT management space by delivering one of the few applications aimed at consolidated notification management and analytics. As applications, infrastructure components and networking devices proliferate with dizzying complexity in the contemporary datacenter, platforms like BigPanda are likely to morph into necessary components of IT management as a means of taming the deluge of notifications produced by disparate systems. Meanwhile, BigPanda’s early positioning in the notification-management space renders it a thought leader as well as a technology standout.