Shows & Panels
- The 2014 Big Picture on Cyber Security
- AFCEA Answers
- Ask the CIO
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- Consolidating Mission-critical Systems
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- The Data Privacy Imperative: Safeguarding Sensitive Data
- Eliminating the Pitfalls: Steps to Virtualization in Government
- Federal Executive Forum
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- Government Cloud Brokerage: Who, What, When, Where, Why?
- Government Mobility
- The Intersection: Where Technology Meets Transformation
- Maximizing ROI Through Data Center Consolidation
- Mobile Device Management
- The Modern Federal Threat Landscape
- Moving to the Cloud. What's the best approach for me
- Navigating Tough Choices in Government Cloud Computing
- Satellite Communications: Acquiring SATCOM in Tight Times
- Transformative Technology: Desktop Virtualization in Government
- Understanding the Intersection of Customer Service and Security in the Cloud
Shows & Panels
Search Tags: MITRE
List details the 25 software programming security bugs.
Pre-proposal conference follows RFI issued in April
The 2010 CWE/SANS Top 25 Most Dangerous Programming Errors is a list of the most widespread and critical programming errors that can lead to serious software vulnerabilities. They are often easy to find, and easy to exploit. They are dangerous because they will frequently allow attackers to completely take over the software, steal data, or prevent the software from working at all.
DHS, private research groups launch new tools to help agencies and industry close cybersecurity holes. DHS officials liken a rating system to the Energy Star labels that indicate how efficient appliances are.
October 20th, 2010 at 11 AM
The application of knowledge discovery within the cloud is immensely powerful, but not inbuilt. We are collectively moving past the question of "what is cloud computing", and swiftly moving towards "how does the cloud enable advanced analysis against massive volumes of data?" With industry and government leveraging multiple clouds, how do we successfully share and search large collections of data across systems, departments, and geographies? Organizations will continue to discuss and better understand the analytic power and economies of cloud computing, in the sense of data storage, sharing, and management; but we are quickly discovering that creating knowledge from data is more than just a discussion of technology. It's a discussion of what can be accomplished when massive data and cloud computing efficiencies combine to make advanced analysis and innovation possible.
Tags: technology , Booz Allen Distinguished Speaker Series , cloud , cloud computing , Michael Byrne , Jeff Jonas , David Mihelcic , DISA , Chris Nissen , Mike Olson , Cloudera , IBM , FCC , big data , Massive Data , data management , analytics , Chris Kelly , data models , IT