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FEBRUARY 2010
FEATURES

Endpoint DLP fills data protection gap

Disaster recovery plans and DLP solutions top 2010 priorities

New data protection laws

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COLUMNS

Schneier-Ranum Face-Off: Should we ban anonymity on the Internet?

Leverage Google Attacks to Improve Cybersecurity

Perspectives: Pet information security risks

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Archives: March 2009

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Features

How to Secure Cloud Computing
by Neil Roiter
On-demand computing services can save large enterprises and small businesses a lot of money, but security and regulatory compliance become difficult.

Cloud computing security framework may ease security concerns
The Jericho Forum is expected to release a framework of security considerations for organizations moving business to the cloud.

Choosing the right Web application firewall
by Mike Cobb
PCI DSS is requiring companies to buy Web application firewalls. We'll show how you how to pick the WAF that's right for you, and how to use it so your company is compliant -- and more secure.

Five considerations for securing a midmarket company
by Marcia Savage
Smaller organizations need to be more resourceful, and we'll explain how risk management, automation and managed security services, among others, can help.

How to secure use of Web 2.0
by Michael S. Mimoso
How much information is too much information, and how will you monitor and manage the use of Web 2.0 inside your organization?

Information Security magazine March 2009 issue PDF
Download the March 2009 issue of Information Security in PDF format.
Columns

Cybersecurity's profile rising under Obama
by Michael S. Mimoso
The Obama Administration is conducting a review of the government's cybersecurity policies and process. We should be encouraged that security could move beyond the useless paper exercise it is today

Enforcing a vendor risk assessment to avoid outsourcing security risks
by David Mortman
As enterprises outsource more services and share data, they must be vigilant about the security of third parties.

Data classification best practices: Techniques, methods and projects
by Jay Heiser
Effective data classification in the enterprise requires a simple approach.




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