When National Science Foundation officials announced in February that three major providers of cloud computing were donating up to $9 million collectively for big data research, they already were looking for ways to broaden the effort to include a wider variety of topics, including cybersecurity. The expansion is intended to benefit both research and education initiatives and is necessary, in part, because the cloud providers now acquire cutting-edge hardware before it is made available to researchers.
Federal mandates and economic concerns are pushing businesses and government agencies to migrate their IT services to the cloud. As a result, decision makers must consider how to proceed in a way that meets compliance requirements in a timely, affordable and secure fashion.
Two data migration experts at experienced commercial organizations recently offered their advice to organizations that are just beginning on the data migration trail or are well on their way but hitting a few bumps in the road.
ECS Federal LLC, Fairfax, Virginia, was awarded a $48,000,608 modification to provide analysis of large structured and unstructured data sets in order to provide insight to the warfighter on the tactical edge using modern computational and algorithmic techniques through creation of a prototype environment with prototype technologies to uncover key insights with large data sets using robust ontologies created through data science partnership with the Department of Defense research laboratories and universities. Work will be performed in Fairfax, Virginia, with an estimated completion date of March 28, 2019. Fiscal 2018 research, development, test and evaluation funds in the amount of $14,000,000 were obligated at the time of the award.
With an onslaught of new technologies ever present on the horizon, the U.S. Marine Corps (USMC) is working to make sense of what technologies will work for them, not only in the traditional warfighting domains, but also in cyber—the new domain. Right now, they have a long list of priorities associated with modernizing the network, meeting standards and mandates, and fielding new capabilities.
ECS Federal LLC, Fairfax, Virginia, was awarded a $9,529,017 modification to provide analysis of large structured and unstructured data sets. The company will assist the Army in providing insight to the warfigher on the tactical edge using modern computational and algorithmic techniques through creation of a prototype environment with prototype technologies, DOD said. The goal is to uncover key insights with large data sets using robust ontologies created through data science partnership with DOD research laboratories and universities. Work will be performed in Fairfax, Virginia, with an estimated completion date of September 28, 2019.
In a $350 million deal, San Francisco, California-based Splunk Inc. will purchase Phantom Cyber Corporation, a Palo Alto, California-based cyber security firm specializing in security orchestration, automation and response, known as SOAR. Splunk will acquire Phantom using a combination of cash and stock. The transaction is expected to close during the first half of 2018, subject to customary closing conditions and regulatory reviews. Oliver Friedrichs, Founder and CEO, Phantom will report to Haiyan Song, senior vice president and general manager of security markets, Splunk.
Part of the Office of Naval Research’s efforts in command, control, communications and computers is to provide key analytical tools to planners, analysts and commanders swamped by data. To that end, the office, known as the ONR, is conducting basic and applied research in applications that will cut maneuver planning time, expand access to data, enhance analytical processing and improve predictions. The tools are meant to improve decision making across antisubmarine warfare, integrated air and missile defense, electromagnetic maneuver warfare, and expeditionary and integrated fires missions.
In 2016, big data software company Splunk promised to donate a minimum of $100 million in software licenses, training, support and education to nonprofit organizations and educational institutions over the next 10 years. The company’s Splunk4Good initiative supports nonprofit organizations, academic research and social improvements.
Officials from across the U.S. intelligence community are calling for reauthorization of section 702 of the Foreign Intelligence Surveillance Act, which allows the government to collect data on non-U.S. citizens on foreign soil, as Congress debates whether to reauthorize, reform or outright reject it.
Multiple officials from multiple agencies touted the benefits of Section 702 during the 2017 Intelligence and National Security Summit, which was held Sept. 6-7 in Washington, D.C.
Senior intelligence officials identified the increasing amount of data and how to handle it as the one of the largest challenges the intelligence community faces today. “We are collecting more data than we can effectively process,” said Defense Intelligence Agency (DIA) Director Lt. Gen Vincent Stewart, USMC. “What we process, we struggle to make sense of, and what we understand, we can’t effectively disseminate across a global enterprise to ensure it helps drive critical decision making.”
U.S. Army officials expect that by this fall, they will have formal approval of a rapid prototyping process for acquiring cyber and electronic warfare prototypes assessed during the just-completed Cyber Quest 2017 exercise at Fort Gordon, Georgia.
Army officials describe Cyber Quest as an annual cyber and electronic warfare exploration and collaboration event hosted by the Cyber Center of Excellence. This is the second year for the event.
The U.S. Defense Department has initiated a market research effort to identify potential industry sources under a potential five-year, $325 million acquisition program for technical support services. The market research effort could potentially lead to a contract award this fiscal year.
Forecasting data collected during the Intelligence Advanced Research Projects Activity's (IARPA’s) Aggregative Contingent Estimation (ACE) program by team Good Judgment is now available for use by the public and the research community via
Organizations today must deal with an avalanche of big data and the advanced computing requirements that are driven by so much data. To cover the accelerated speeds and throughput needs they increasingly face, their information systems require increased network speeds and upgrades as well as improved security and monitoring tools.
The cannonade of small satellites hovering above the Earth is creating a dilemma for government and industry alike: how to process enormous amounts of data sent to the ground.
Collecting information isn’t the hard part, nor is transmitting it, experts say. What vexes intelligence analysts the most is not being able to make heads or tails of petabyte upon petabyte of data. But the government seeks help from the commercial world to make that happen.
Behind the Science is an occasional series of blogs focusing on the people advancing science and technology.
George and Marlene Bachand, a married couple working at Sandia National Laboratories, have partnered on more science projects than they can recall.
Scientists at Sandia National Laboratories are searching for partners to apply technology for encrypting text within synthetic DNA. The encryption is far stronger than conventional technology and practically impossible to break, researchers say.
In September, the Sandia team wrapped up a three-year effort titled Synthetic DNA for Highly Secure Information Storage and Transmission. The project developed a new way of storing and encrypting information using DNA. The work was funded through Sandia’s internal Laboratory Directed Research and Development program.
Organizations constantly are seeking new ways to address workload-specific storage demands in terms of performance and capacity while also meeting service-level agreements, response-time objectives and recovery-point objectives.
Many information technology operations are inspired by successful hyperscale organizations such as Facebook, Google and Amazon. However, most enterprises lack the scale and substantial development and operations commitment necessary to deploy software-defined storage infrastructure in the same ways. Hyperscale economics also typically don’t work out at smaller scale, resulting in poor utilization or unacceptable reliability issues.
Advances in genomics, medical sensors and data-driven health care increasingly are enabling doctors and patients to make personalized and targeted care decisions. But the effectiveness of these precision medicine capabilities depends on critical cybersecurity components to protect patient privacy and the integrity of patient data.
Researchers are developing an open source machine-learning framework that allows a distributed network of computers to process vast amounts of data as efficiently and effectively as supercomputers and to better predict behaviors or relationships. The technology has a broad range of potential applications, including commercial, medical and military uses.
Anyone who needs to analyze a few trillion datasets can use a supercomputer or distribute the problem among processors on a large network. The former option is not widely available, and the latter can be complicated.