Sift Security Launch!

We are excited to announce the launch of Sift Security's Threat Hunting and Incident Response Platform.

Our team has been working for more than two years to design the next generation of security operations technology. Our mission is to make it easier and faster for security operations teams to get their jobs done.

We take care of a few major headaches, helping you get to the real work.

Gathering data
With out-of-the-box support for a dozen data sources and a simple tool for incorporating more, we get all the data you need for an investigation in one place, ready for when you need it.
Integrating data
Our relational graph structure enables you to track entities across data types, quickly following a chain of events from the network to endpoints and applications.
Evaluating data
Machine learning algorithms developed at Stanford and MIT help bring the most important events to your attention, so you can focus on what’s strange or new.

Our team enjoyed making the platform, which builds on some of the most exciting and scalable open source technologies out there right now, including Kafka, Spark, ELK and graph databases. We have worked with some great beta customers that helped us hone in on the biggest pain points, and had the satisfaction of hearing those gasps of surprise that happen when something really hard gets easy.

"With Sift Security, in 5 minutes we can complete investigations that previously took days"
Ken Silva, experience at Ionic, Booz Allen, VeriSign and the NSA

"With Sift Security, I can get the context I need quickly and figure out what really caused the problem."
Allen Spiegler, CIO of Los Angeles LGBT Center

"Sift is the first analytical tool that will actually bring value to an organization, allowing them to find that needle in the security haystack of noise."
Larry Whiteside Jr., Former CISO in Healthcare and Energy

For more details on the product, check out our website.

Data Exfiltration from AWS S3 Buckets

You will have no doubt heard by now about the recent Booz Allen Hamilton breach that took place on Amazon Web Services – in short, a shocking collection of 60,000 government sensitive files were left on a public S3 bucket (file storage in Amazon Web Services) for all to see. We are all probably too overwhelmed to care, given all the recent breaches we have been hearing about in the news. But with this breach it was different, it involved a trusted and appointed contractor whose job it was to follow security policies, put in place to avoid such incidents. So was this incident accidental or malicious? More, later about the tools we can use to tell the difference between the two. First, lets recap what happened. The Incident According to Gizmodo , the 28GB of data that was leaked not only contained sensitive information on recent government projects, but at least a half dozen unencrypted passwords belonging to government contractors with Top Secret Clearance – meaning anyone who got

Sift Joins Netskope, the Cloud Security Leader

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Sift Security vs. Elastic Search and Elastic Graph

We are often asked, “What is the difference between Sift Security and Elastic Graph ?” This is a great question that typically comes from folks who are already familiar with Elasticsearch [0] and Elastic Graph [1]. The answer boils down to the following: Elastic Graph is a tool for visualizing arbitrary aggregate search results. Elasticsearch is a Restful search that distributed, and has analytics engine that solves a number of use cases such as mapping from Python to ES REST endpoints. Sift Security uses a graph database to simplify and accelerate specific security use cases. In this blog post, we describe the advantages of each of these approaches, and conclude with a discussion of when to use each. Advantages of Sift Security vs ElasticSearch and Elastic Graph Query speed Sift Security builds a property graph to represent security log events at ingestion time. We do this work at ingestion time for one reason: to speed up common investigative queries. When investi

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