Social Networking Exploding in Enterprise Networks

Social networking and digitally based collaboration are consuming networks. For example, Twitter usage has grown more than 250 percent and Facebook usage by 192 percent in the last six months, according to a research project by firewall vendor Palo Alto Networks. Facebook Chat, released in April 2008, is the fourth most common chat application found on enterprise networks, ahead of Yahoo IM and AIM. Blogging and wiki editing have increased by a factor of 39, while total bandwidth consumed increased by a factor of 48. Also, SharePoint collaboration is becoming much more common; according to the research, bandwidth consumed by the documents component of SharePoint has increased 17-fold from comparable research reported in April.

These results come from the "Application Usage and Risk Report," an analysis of application usage on enterprise networks in 200-plus organizations around the world in sectors that include education, financial services, manufacturing, healthcare, government, and retail. This research is unique in that, unlike surveys that evaluate results based on voluntary responses from participants, this one summarizes actual network traffic assessments performed between March and September 2009.

The challenge of the explosive growth of new forms of applications, as the company pointed out, is that many can expose the organization's network to new forms of risks. The analysis discovered 255 "enterprise 2.0" applications--of which 70 percent are capable of transferring files, 64 percent have known vulnerabilities, 28 percent are known to propagate malware, and 16 percent can tunnel other applications. Koobface, Fbaction, and Boface are all new forms of malware that run in applications such as Facebook to hijack accounts and personal data.

"We know that workers are using these applications to help them get their jobs done, with or without approval from their IT departments. And now we know this is happening much faster than anticipated. It's naïve to think that old-school security practices can handle this deluge," said Rene Bonvanie, vice president of worldwide marketing. "Organizations must realize that banning or allowing specific applications in a black-and-white fashion is bad for business. They need a new approach that allows for shades of gray by enforcing appropriate application usage policies tailored for their workforce. This is a radical and necessary shift for today's IT security professionals."

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • glowing digital brain-shaped neural network surrounded by charts, graphs, and data visualizations

    Google Releases Advanced AI Model for Complex Reasoning Tasks

    Google has released Gemini 2.5 Deep Think, an advanced artificial intelligence model designed for complex reasoning tasks.

  • abstract pattern of cybersecurity, ai and cloud imagery

    OpenAI Report Identifies Malicious Use of AI in Cloud-Based Cyber Threats

    A report from OpenAI identifies the misuse of artificial intelligence in cybercrime, social engineering, and influence operations, particularly those targeting or operating through cloud infrastructure. In "Disrupting Malicious Uses of AI: June 2025," the company outlines how threat actors are weaponizing large language models for malicious ends — and how OpenAI is pushing back.

  • cybersecurity book with a shield and padlock

    NIST Proposes New Cybersecurity Guidelines for AI Systems

    The National Institute of Standards and Technology has unveiled plans to issue a new set of cybersecurity guidelines aimed at safeguarding artificial intelligence systems, citing rising concerns over risks tied to generative models, predictive analytics, and autonomous agents.

  • magnifying glass highlighting a human profile silhouette, set over a collage of framed icons including landscapes, charts, and education symbols

    AWS, DeepBrain AI Launch AI-Generated Multimedia Content Detector

    Amazon Web Services (AWS) and DeepBrain AI have introduced AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.